{ From user Lumina, Model ITHIM_model at 18-Feb-2013 5:53:11 PM } SoftwareVersion 4.4.4 { System Variables with non-default values: } WindState Time: 2,102,77,476,224 UseTable := 0 TypeChecking := 1 Checking := 1 ShowHier := 1 SaveOptions := 2 SaveValues := 0 ProbIndex := [0.025,0.5,0.975] DisplayOutputs Inf: Variable Fatal___injury_rati3 AllWarnings := 0 BarOverlap := 90 {!40000|Graph_AxisTitleFont := Arial,34,1} {!40000|Graph_AxisLabelFont := ,34,0} {!40000|Graph_KeyFont := ,34,0} {!40000|Graph_KeyTitleFont := ,34,1} {!40400|Sys_AllNullTreatment := 1} {!40300|ProactivelyEvaluate Index: 1} AskAttribute Value,Variable,Yes AskAttribute Check,Variable,Yes {!40000|AskAttribute TableCellDefault,Variable,Yes} Model ITHIM_model Title: ITHIM model Description: ITHIM model Author: jw745 Date: 19 Nov 2011 14:24 SaveAuthor: Lumina SaveDate: Mon, Feb 18, 2013 5:53 PM DefaultSize: 48,24 DiagState: 2,31,20,1276,639,17 WindState: 2,98,90,476,224 FontStyle: Arial, 15 FileInfo: 0,Model ITHIM_model,2,2,0,0,C:\Users\Lumina\Documents\Magic Briefcase\2013 Jan\Woodcock ITHIM model\BCH 29.ana OutlinerState: 2,36,50,448,280 {!40400|Att_clearTypeFonts: 0} Module The_model Title: The model Author: jw745 Date: 15 May 2012 10:53 DefaultSize: 48,24 NodeLocation: 760,48,1 NodeSize: 48,32 NodeInfo: 1,1,1,1,1,1,1,,0,,0 DiagState: 2,82,330,1246,726,17 WindState: 2,102,83,476,224 FontStyle: Arial, 15 NodeFont: Arial,21 OutlinerState: 2,36,50,448,280 Index Gender Title: Gender Definition: ['Male','Female'] NodeLocation: 64,40,1 NodeSize: 48,24 WindState: 2,102,85,476,502 {!40000|Att_GraphIndexRange: 1,,,,,,10} {!40300|Att_SlicerPopupSize: 247,42} {!40000|Att_PrevIndexValue: ['Male','Female']} Module Time__distance__spee Title: Time, distance, speed Author: tainio Date: 17 Jan 2012 10:50 DefaultSize: 48,24 NodeLocation: 480,432,1 NodeSize: 48,32 DiagState: 2,488,101,1017,646,17 Variable Time_by_mode_by_age_ Title: Time by mode by age & gender Units: min per week Definition: if mode1='BCH' then cycle_hire_minutes_p else Baseline_travel_by_m-Reduction_in_time_tr~ NodeLocation: 760,256,1 NodeSize: 48,40 WindState: 2,356,435,750,224 ValueState: 2,298,374,605,303,0,MIDM Aliases: Alias Time_by_mode_by_age2, Alias Time_by_mode_by_age1 ReformVal: [Age_group,Mode1] NumberFormat: 2,D,5,2,0,0,5,0,$,0,"ABBREV",0,,,0,0 {!40000|Att_ResultSliceState: [Gender,2,Vision,2,Mode1,2,Age_group,1]} Variable Mode_shift Title: Mode shift Units: % shift Definition: Table(Vision,Mode1)(~ 0,0,0,0,0,0,0,0,0,~ 0.431461423,0,0.057824866,0.253842243,0.024769155,0.028537482,2.336522m,0.022216605,0.311) NodeLocation: 184,168,1 NodeSize: 48,24 WindState: 2,102,83,476,224 DefnState: 2,40,50,400,300,0,MIDM Aliases: FormNode Mode_shift1 NodeColor: 65535,52427,57888 ReformDef: [Vision,Mode1] ReformVal: [Vision,Mode1] Variable Cycle_hire_minutes_p Title: Cycle hire minutes per person per week by gender and age Definition: Table(Gender,Vision,Age_group)(~ 0,0,0,0,0,0,~ 4.564,4.564,4.564,4.564,4.564,4.564,~ 0,0,0,0,0,0,~ 3.402,3.402,3.402,3.402,3.402,3.402) NodeLocation: 584,104,1 NodeSize: 72,48 WindState: 2,102,83,476,224 DefnState: 2,40,50,0,0,0,MIDM Aliases: FormNode Cycle_hire_minutes_1 NodeColor: 65535,52427,57888 ReformDef: [Gender,Age_group] {!40000|Att_EditSliceState: [Vision,2,Age_group,1,Gender,1]} Variable Reduction_in_time_tr Title: Reduction in time travelled by other mode Units: min per week Description: Reduction in time assuming same time spent travelling by each mode Definition: Cycle_hire_minutes_p*Mode_shift_3 NodeLocation: 584,256,1 NodeSize: 48,40 WindState: 2,102,83,476,224 ReformVal: [Mode1,Vision] {!40000|Att_ResultSliceState: [Gender,2,Mode1,9,Vision,6,Age_group,1]} Variable Baseline_travel_by_m Title: Baseline travel by mode Units: min per week Definition: Table(Gender,Age_group,Mode1)(~ 151.45767,0,15.39522788,0,0,0,0,0,0,~ 141.35044,0,23.41579038,0,0,0,0,0,0,~ 122.7114,0,24.65363891,0,0,0,0,0,0,~ 120.26028,0,10.23501885,0,0,0,0,0,0,~ 114.68555,0,13.7325167,0,0,0,0,0,0,~ 95.84463,0,5.718759294,0,0,0,0,0,0,~ 173.48919,0,7.664528628,0,0,0,0,0,0,~ 170.10994,0,11.46309214,0,0,0,0,0,0,~ 137.66347,0,15.46817281,0,0,0,0,0,0,~ 132.11667,0,5.79036402,0,0,0,0,0,0,~ 114.90297,0,5.631367677,0,0,0,0,0,0,~ 67.96906199999999,0,6.845996357,0,0,0,0,0,0) NodeLocation: 760,112,1 NodeSize: 72,24 WindState: 2,102,83,476,224 DefnState: 2,585,512,416,303,0,MIDM NodeColor: 65535,52427,57888 ReformDef: [Gender,Age_group] {!40000|Att_EditSliceState: [Mode1,3,Age_group,1,Gender,1]} Variable mode_shift_2 Title: mode shift 2 Definition: if Shift_from_Driving_O=1 then All_trips_switched_f else mode_shift_1[Vision='Hire bike Version 1', Mode1='car'] NodeLocation: 312,320,1 NodeSize: 48,24 WindState: 2,1369,391,545,379 ValueState: 2,35,173,416,303,0,MIDM ReformVal: [Vision,Mode1] Att__TotalsIndex: Index Mode1 Variable New_trip_baseline_as Title: New trip baseline assumption~ Definition: 0.09 NodeLocation: 72,328,1 NodeSize: 48,32 WindState: 2,31,216,522,451 NodeColor: 65535,52427,57888 Chance New_trip_uncertainty Title: New trip uncertainty Definition: Triangular( 0.035, New_trip_baseline_as, 0.2 ) NodeLocation: 72,200,1 NodeSize: 48,24 WindState: 2,20,237,616,456 ValueState: 2,104,107,942,802,1,PDFP Aliases: FormNode New_trip_uncertaint1 DisplayOutputs: Index Input_variable_for_1, Index Input_variable_for_t Variable All_trips_switched_f Title: All trips switched from driving Units: % shift Definition: 1 NodeLocation: 216,408,1 NodeSize: 48,40 WindState: 2,102,83,476,224 DefnState: 2,40,50,400,300,0,MIDM NodeColor: 65535,52427,57888 ReformDef: [Vision,Mode1] ReformVal: [Vision,Mode1] Variable mode_shift_1 Title: mode shift 1 Definition: Mode_shift*(1-New_trip_uncertainty)/(1-New_trip_baseline_as) NodeLocation: 184,256,1 NodeSize: 48,24 WindState: 2,102,83,553,224 ReformVal: [Vision,Mode1] Att__TotalsIndex: Index Mode1 Variable Shift_from_Driving_O Title: Shift from Driving On=1 Definition: 0 NodeLocation: 384,408,1 NodeSize: 48,48 WindState: 2,102,83,476,374 Aliases: FormNode Shift_from_Driving_1 Variable Mode_shift_3 Title: Mode shift 3 Definition: if Vision='Hire bike Version 1' AND Mode1='car' then mode_shift_2 else mode_shift_1 NodeLocation: 424,256,1 NodeSize: 48,24 ValueState: 2,14,144,416,303,0,MIDM ReformVal: [Vision,Mode1] Close Time__distance__spee Index Vision Title: Vision Definition: ['Baseline','Hire bike Version 1'] NodeLocation: 64,96,1 NodeSize: 48,24 WindState: 2,102,77,337,314 ValueState: 2,40,50,0,0,0,MIDM {!40300|Att_SlicerPopupSize: 257,202} {!40000|Att_PrevIndexValue: ['Baseline','Hire bike Version 1']} Module Health_module Title: Health module Author: jw745 Date: 10 Apr 2012 10:29 SaveAuthor: jw745 SaveDate: Tue, Nov 13, 2012 10:01 AM NodeLocation: 840,272,1 NodeSize: 48,24 DiagState: 2,173,-12,1099,664,17 WindState: 2,102,83,476,224 OutlinerState: 2,40,43,448,280 Variable Air_pollution_change Title: Air pollution change disease risk Definition: if Air_pollution_off__1 <> 1 then exp(total_exposure * Exposure_Response_Fu) else 1 NodeLocation: 384,176,1 NodeSize: 56,40 WindState: 2,614,149,475,224 ValueState: 2,123,164,841,583,0,MIDM ReformVal: [Age_group,Diseases1] {!40000|Att_ResultSliceState: [Vision,7,MET_RR_s,1,Age_group,1]} Index Fractiles1 Title: Fractiles Definition: [5,15,25,35,45,55,65,75,85,95] NodeLocation: 56,32,1 NodeSize: 48,24 WindState: 2,491,86,476,224 {!40300|Att_SlicerPopupSize: 242,280} {!40000|Att_PrevIndexValue: [5,15,25,35,45,55,65,75,85,95]} Index Diseases1 Title: Diseases Definition: ['Breast Cancer','Colon cancer','Stroke','IHD','Dementia','Depression','Diabetes','All-cause mortality Woodcock ','All-cause mortality cycling Anderson','All-cause mortality walking: HEAT','Lung Cancer','Respiratory Diseases','Hypertensive heart disease','Inflammatory heart disease','All-cause mortality Woodcock walking alone','Road traffic injuries','All-cause mortality quintiles'] IndexVals: ['item 1'] NodeLocation: 56,88,1 NodeSize: 48,24 WindState: 2,102,85,476,759 ValueState: 2,33,190,416,492,0,MIDM {!40300|Att_SlicerPopupSize: 227,252} {!40000|Att_PrevIndexValue: ['Breast Cancer','Colon cancer','Stroke','IHD','Dementia','Depression','Diabetes','All-cause mortality Woodcock ','All-cause mortality cycling Anderson','All-cause mortality walking: HEAT','Lung Cancer','Respiratory Diseases','Hypertensive heart disease','Inflammatory heart disease','All-cause mortality Woodcock walking alone','Road traffic injuries','All-cause mortality quintiles']} Index Phy_act_shape Title: Phy act shape Definition: ['Power 0.25','Power 0.375','Power 0.5','Power 0','Power 1'] NodeLocation: 56,152,1 NodeSize: 48,24 WindState: 2,35,32,476,224 {!40300|Att_SlicerPopupSize: 232,84} Variable Combine_phy_act___ai Title: Combine phy act & air pol Definition: var r := sum(Ratio_of_disease_bur, Fractiles1);~ var a:=Reweighted_burdens/r; ~ a:=Perc_of_old_burden*a*Air_pollution_change;~ a*r NodeLocation: 528,176,1 NodeSize: 48,32 WindState: 2,32,19,582,394 ValueState: 2,403,15,964,730,0,MIDM ReformVal: [Vision,Diseases1] {!40000|Att_ResultSliceState: [Gender,1,Deaths__yll__yld,1,Age_group,2,Diseases1,1,Vision,1]} Variable DALYs Title: DALYs Definition: var a:=Health_combined[Deaths__yll__yld="yll"];~ var b:=Health_combined[Deaths__yll__yld="yld"];~ b+a~ NodeLocation: 872,480,1 NodeSize: 48,24 WindState: 2,-86,117,476,224 ValueState: 2,42,129,1026,499,0,MIDM ReformVal: [Vision,Diseases1] NumberFormat: 2,I,4,2,0,0,4,0,$,0,"ABBREV",0,,,0,0 Att__TotalsIndex: Index Diseases1, Index Age_group {!40000|Att_ResultSliceState: [Gender,1,Age_group,3,Diseases1,1,Vision,1]} Variable YLL Title: YLL Definition: Health_combined[Deaths__yll__yld="yll"] NodeLocation: 640,480,1 NodeSize: 48,24 WindState: 2,102,83,476,224 ValueState: 2,152,155,1026,499,0,MIDM ReformVal: [Age_group,Diseases1] NumberFormat: 2,I,4,2,0,0,4,0,$,0,"ABBREV",0,,,0,0 Att__TotalsIndex: Index Age_group {!40000|Att_ResultSliceState: [Gender,1,Vision,2,Diseases1,14,Age_group,1]} Variable YLD Title: YLD Definition: Health_combined[Deaths__yll__yld="yld"] NodeLocation: 760,480,1 NodeSize: 48,24 ValueState: 2,412,261,1026,499,0,MIDM ReformVal: [Age_group,Diseases1] {!40000|Att_ResultSliceState: [Gender,1,Vision,2,Phy_act_shape,1,MET_RR_s,1,Age_group,1]} Index Population__deaths_2 Title: Population, deaths, ylls, ylds Description: Population, deaths, ylls, ylds Definition: ['pproj','dproj','yll','yld','DALY'] NodeLocation: 56,224,1 NodeSize: 48,32 WindState: 2,102,85,476,603 Variable Exposure_Response_Fu Title: Exposure Response Functions Definition: Table(Age_group,Diseases1)(~ 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,~ 0,0,8.93m,8.93m,0,0,0,0,0,0,0.01267,8.93m,8.93m,8.93m,0,0,0,~ 0,0,8.93m,8.93m,0,0,0,0,0,0,0.01267,8.93m,8.93m,8.93m,0,0,0,~ 0,0,8.93m,8.93m,0,0,0,0,0,0,0.01267,8.93m,8.93m,8.93m,0,0,0,~ 0,0,8.93m,8.93m,0,0,0,0,0,0,0.01267,8.93m,8.93m,8.93m,0,0,0,~ 0,0,8.93m,8.93m,0,0,0,0,0,0,0.01267,8.93m,8.93m,8.93m,0,0,0) NodeLocation: 256,176,1 NodeSize: 48,31 WindState: 2,27,82,476,224 DefnState: 2,264,267,1006,575,0,MIDM ValueState: 2,29,90,838,485,0,MIDM NodeColor: 65535,52427,61166 ReformDef: [Age_group,Diseases1] ReformVal: [Age_group,Diseases1] {!40000|Att_ResultSliceState: [Pollutant,1,MET_RR_s,1,Age_group,1]} {!40000|Att_EditSliceState: [Air_pollutant,1,MET_RR_s,1,Age_group,1]} Variable Deaths__YLLs___YLDs_ Title: Deaths, YLLs & YLDs for separate conditions Definition: Table(YLL_and_YLD_and_Deat)(YLL,YLD,Deaths) NodeLocation: 656,608,1 NodeSize: 48,48 WindState: 2,255,327,476,224 DefnState: 2,152,270,416,303,0,MIDM ValueState: 2,19,147,907,677,0,MIDM ReformVal: [Age_group,Diseases1] Att__TotalsIndex: Index Diseases1, Index Diseases_short {!40000|Att_ResultSliceState: [Gender,1,YLL_and_YLD_and_Deat,1,Vision,2,Diseases1,1,Age_group,1]} Index YLL_and_YLD_and_Deat Title: YLL and YLD and Deaths Definition: ['YLL','YLD','Deaths'] NodeLocation: 56,304,1 NodeSize: 48,32 WindState: 2,102,83,476,224 {!40300|Att_SlicerPopupSize: 227,56} {!40000|Att_PrevIndexValue: ['YLL','YLD','Deaths']} Variable Summed_by_age Title: Summed by age Definition: sum(Deaths__YLLs___YLDs_,age_group);~ NodeLocation: 720,720,1 NodeSize: 48,24 WindState: 2,102,83,476,224 ValueState: 2,-4,140,950,464,0,MIDM ReformVal: [Vision,Diseases1] {!40000|Att_ResultSliceState: [YLL_and_YLD_and_Deat,3,Gender,2,Diseases1,1,Vision,1]} Variable Deaths Title: Deaths Definition: Health_combined[Deaths__yll__yld='dproj'] NodeLocation: 536,480,1 NodeSize: 48,24 WindState: 2,102,83,476,224 ValueState: 2,152,155,1026,499,0,MIDM ReformVal: [Age_group,Diseases1] NumberFormat: 2,I,4,2,0,0,4,0,$,0,"ABBREV",0,,,0,0 {!40000|Att_ResultSliceState: [Gender,1,Vision,5,Diseases_short,1,Age_group,1]} Index YLL_and_Deaths {!40000|Att_PrevIndexValue: ['YLL','Deaths']} Title: YLL and Deaths Definition: ['YLL','Deaths'] NodeLocation: 56,384,1 NodeSize: 48,32 {!40300|Att_SlicerPopupSize: 227,56} Variable Deaths___YLLs_all_ca Title: Deaths & YLLs all cause mortality Definition: Table(YLL_and_Deaths)(Health_outcome_all_c[Deaths__yll__yld='yll'],Health_outcome_all_c[Deaths__yll__yld='dproj']) NodeLocation: 352,472,1 NodeSize: 48,48 WindState: 2,255,327,476,224 DefnState: 2,60,371,416,303,0,MIDM ValueState: 2,95,262,788,470,0,MIDM ReformVal: [Mortality_models,Age_group] {!40000|Att_ResultSliceState: [Gender,1,YLL_and_Deaths,1,Vision,2,Age_group,1,Mortality_models,1]} Index Mortality_models {!40000|Att_PrevIndexValue: ['All-cause mortality Woodcock ','All-cause mortality cycling Anderson','All-cause mortality walking: HEAT','All-cause mortality Woodcock walking alone','Road traffic injuries','All-cause mortality quintiles']} Title: Mortality models Definition: ['All-cause mortality Woodcock ','All-cause mortality cycling Anderson','All-cause mortality walking: HEAT','All-cause mortality Woodcock walking alone','Road traffic injuries','All-cause mortality quintiles'] NodeLocation: 56,480,1 NodeSize: 48,24 WindState: 2,102,83,476,224 ValueState: 2,40,50,400,300,0,MIDM Variable Health_outcome_all_c Title: Health outcome all cause mortality Definition: health_combined[Diseases1 =Mortality_models] NodeLocation: 352,360,1 NodeSize: 48,40 WindState: 2,102,83,476,224 ValueState: 2,210,237,827,432,0,MIDM ReformVal: [Vision,Mortality_models] {!40000|Att_ResultSliceState: [Age_group,3,Gender,2,Deaths__yll__yld,2,Mortality_models,1,Vision,4]} Objective Burden_summary_for_a Title: Burden summary for all cause death Definition: Deaths___YLLs_all_ca~ NodeLocation: 432,584,1 NodeSize: 64,40 WindState: 2,102,77,476,224 ValueState: 2,45,78,947,398,0,MIDM Aliases: FormNode Burden_summary_for_1 GraphSetup: ShowKey:2~ ProbIndex:[0.05 ,0.5 ,0.95 ]~ {!40000|Graph_KeyFont:,24,0}~ {!40000|Graph_AdaptFontSize:0} ReformVal: [Gender,Mortality_models] {!40000|Att_GraphValueRange: 1,,,,,,10} {!40000|Att_ResultSliceState: [YLL_and_Deaths,1,Vision,2,Age_group,2,Mortality_models,5,Gender,2]} Module Physical_activity_to Title: Physical activity total RR Author: tainio Date: 31 May 2012 11:35 SaveAuthor: jw745 SaveDate: Fri, Nov 2, 2012 7:12 PM NodeLocation: 528,72,1 NodeSize: 72,24 DiagState: 2,31,20,1243,843,17 WindState: 2,102,83,476,224 Variable Decile_data Title: Decile data Definition: Table(Fractiles1)(0.05,0.15,0.25,0.35,0.45,0.55,0.65,0.75,0.85,0.95) NodeLocation: 608,352,1 NodeSize: 48,24 WindState: 2,102,83,476,224 DefnState: 2,492,106,416,507,0,MIDM ValueState: 2,120,125,416,303,0,MIDM NodeColor: 65535,52427,57888 Variable RR_Colon_cancer Title: RR Colon cancer Definition: Table(Age_group,Gender)(~ RR_colon_male,RR_colon_female,~ RR_colon_male,RR_colon_female,~ RR_colon_male,RR_colon_female,~ RR_colon_male,RR_colon_female,~ RR_colon_male,RR_colon_female,~ RR_colon_male,RR_colon_female) NodeLocation: 128,128,1 NodeSize: 48,24 WindState: 2,102,83,476,224 DefnState: 2,583,230,416,303,0,MIDM NodeColor: 19661,48336,65535 ReformDef: [Gender,Age_group] ReformVal: [Gender,Age_group] Variable MET_RR_s1 Title: MET RR's Definition: var a:=if Diseases1="Colon cancer" then RR_Colon_cancer else 0;~ a:=if Diseases1="Depression" then RR_Depression else a;~ a:=a+RR_others;~ ~ if age_group="0-4" OR age_group="5-14" then 1 else a NodeLocation: 248,208,1 NodeSize: 48,24 WindState: 2,102,83,476,224 ValueState: 2,471,110,1000,643,0,MIDM ReformVal: [Age_group,Diseases1] {!40000|Att_ResultSliceState: [Gender,1,Diseases1,1,Age_group,1]} Chance RR_Depression Title: RR Depression Definition: Normal( 0.957, 0.01588 ) NodeLocation: 240,128,1 NodeSize: 56,24 WindState: 2,871,54,476,224 DefnState: 2,137,110,416,303,0,MIDM ValueState: 2,-4,30,416,303,0,CONF NodeColor: 65535,52427,57888 DisplayOutputs: Index Input_variable_for_1, Index Input_variable_for_t Variable RR_others Title: RR others Definition: Table(Diseases1)(RR_Breast_cancer,0,RR_stroke___IHD,RR_stroke___IHD,RR_Dementia,0,RR_diabetes,RR_Allcause_mort_tot,RR__All_cause_mortal,RR_All_cause_mortal1,1,1,RR_Other_Heart_Disea,RR_Other_Heart_Disea,RR_Allcause_mort_wlk,1,0) NodeLocation: 360,128,1 NodeSize: 48,24 WindState: 2,102,83,476,224 DefnState: 2,695,536,619,440,0,MIDM ValueState: 2,248,253,838,632,0,CONF NodeColor: 19661,48336,65535 ReformVal: [Diseases1,Diseases1,1] Variable Exp_Colon_cancer Title: Exp Colon cancer Definition: Table(Gender)(~ 31,30) NodeLocation: 480,128,1 NodeSize: 48,24 DefnState: 2,583,230,416,303,0,MIDM NodeColor: 65535,52427,57888 ReformDef: [Gender,Age_group] ReformVal: [Gender,Age_group] Variable Exp_Depression Title: Exp Depression Definition: Table(Age_group)(1,1,1,1,1,1) NodeLocation: 600,128,1 NodeSize: 56,24 WindState: 2,102,83,476,224 DefnState: 2,137,110,416,303,0,MIDM ValueState: 2,-4,30,416,303,0,MIDM NodeColor: 65535,52427,57888 Variable Exp_others Title: Exp others Definition: Table(Diseases1)(3.5,0,5.4,5.4,24.5,0.77778,5.6,8.55556,15.3529,8.75,0,0,8,8,7.857142857,0,0) NodeLocation: 712,128,1 NodeSize: 48,24 WindState: 2,111,83,476,224 DefnState: 2,88,108,619,440,0,MIDM ValueState: 2,248,253,838,632,0,CONF NodeColor: 65535,52427,57888 ReformVal: [Diseases1,Diseases1,1] Variable MET_Exp Title: MET Exp Definition: var a:=if Diseases1="Colon cancer" then Exp_Colon_cancer else 0;~ a:=a+Exp_others;~ a NodeLocation: 600,208,1 NodeSize: 48,24 WindState: 2,102,83,476,224 ValueState: 2,55,57,1000,385,0,MIDM ReformVal: [Gender,Diseases1] {!40000|Att_ResultSliceState: [Gender,2,MET_RR_s,1,Age_group,1]} Chance RIsk_function_shape Title: Risk function shape Definition: DetermTable(Select_Phy_act_shape)(0.25,0.375,Dose_Response_Shape,0,1) NodeLocation: 240,272,1 NodeSize: 48,32 WindState: 2,102,83,476,224 DefnState: 2,1222,575,416,303,0,MIDM ValueState: 2,79,174,416,577,0,SAMP NodeColor: 65535,52427,57888 Variable RR_1_MET Title: RR 1 MET Definition: var a:=MET_RR_s1;~ var b:=1/MET_Exp^RIsk_function_shape;~ a^b~ NodeLocation: 416,272,1 NodeSize: 48,24 WindState: 2,102,83,476,224 ValueState: 2,450,133,932,471,0,MIDM ReformVal: [Age_group,Diseases1] {!40000|Att_ResultSliceState: [Gender,2,Diseases1,1,Age_group,1]} Variable RR_compared_with_no_ Title: RR compared with no exposure Definition: var a:= getfract(disease_relevant_act, Decile_data) ;~ RR_1_MET^(a^RIsk_function_shape) NodeLocation: 416,352,1 NodeSize: 48,40 WindState: 2,102,83,476,224 ValueState: 2,515,88,1124,733,0,MIDM ReformVal: [Fractiles1,Diseases1] {!40000|Att_ResultSliceState: [Gender,2,Vision,2,Age_group,5,Diseases1,1,Fractiles1,1]} Variable Baseline_compared_wi Title: Baseline compared with scenario Definition: var a:=RR_combined;~ RR_combined[Vision="Baseline"]/a NodeLocation: 424,472,1 NodeSize: 48,40 WindState: 2,102,83,476,224 ValueState: 2,404,128,1075,633,0,MIDM ReformVal: [Fractiles1,Diseases1] {!40000|Att_ResultSliceState: [Gender,2,Vision,2,Age_group,1,Diseases1,1,Sys_LocalIndex('Statistics'),1,Fractiles1,1]} Variable Ratio_of_disease_bur Title: Ratio of disease burden re gp 1 Definition: var a:=RR_combined[Fractiles1=5];~ RR_combined/a NodeLocation: 608,512,1 NodeSize: 48,40 WindState: 2,102,83,476,224 ValueState: 2,396,165,1053,609,0,MIDM ReformVal: [Fractiles1,Diseases1] {!40000|Att_ResultSliceState: [Age_group,4,Gender,1,Vision,2,MET_RR_s,1,Fractiles1,1]} Variable Perc_of_old_burden Title: Perc of old burden Description: 1 - Attributable fraction Definition: var a:=sum(Baseline_compared_wi,Fractiles1);~ 1-((a-a[Vision='Baseline'])/a) NodeLocation: 424,552,1 NodeSize: 48,24 WindState: 2,102,83,474,224 ValueState: 2,535,104,1097,629,0,MIDM ReformVal: [Age_group,Diseases1] {!40000|Att_ResultSliceState: [Gender,2,Vision,2,Diseases1,1,Age_group,3]} Chance RR_colon_male Title: RR colon male Definition: normal(0.8,0.081632653) NodeLocation: 64,48,1 NodeSize: 48,24 NodeColor: 65535,52427,57888 DisplayOutputs: Index Input_variable_for_1, Index Input_variable_for_t Chance RR_colon_female Title: RR colon female Definition: normal(0.86,0.06122449) NodeLocation: 192,48,1 NodeSize: 48,24 NodeColor: 65535,52427,57888 DisplayOutputs: Index Input_variable_for_1, Index Input_variable_for_t Module RRs Title: RRs Author: tainio Date: 14 Jun 2012 12:15 NodeLocation: 360,48,1 NodeSize: 48,24 DiagState: 2,598,447,916,442,17 Chance RR_Breast_cancer Title: RR Breast cancer Definition: normal(0.94, 0.013265306) NodeLocation: 224,176,1 NodeSize: 48,24 ValueState: 2,767,55,416,730,0,SAMP NodeColor: 65535,52427,57888 DisplayOutputs: Index Input_variable_for_1, Index Input_variable_for_t Chance RR_stroke___IHD Title: RR stroke & IHD Definition: normal(0.84, 0.030612245) NodeLocation: 336,176,1 NodeSize: 48,24 WindState: 2,102,77,476,224 NodeColor: 65535,52427,57888 DisplayOutputs: Index Input_variable_for_1, Index Input_variable_for_t Chance RR_Dementia Title: RR Dementia Definition: normal(0.72,0.071428571) NodeLocation: 456,176,1 NodeSize: 48,24 NodeColor: 65535,52427,57888 Chance RR_Allcause_mort_tot Title: RR All-cause mortality Woodcock Definition: normal(0.81, 0.020408163) NodeLocation: 96,48,1 NodeSize: 56,48 NodeColor: 65535,52427,57888 Chance RR__All_cause_mortal Title: RR ~ All-cause mortality cycling Anderson Definition: normal(0.72, 0.096938776) NodeLocation: 224,64,1 NodeSize: 56,56 NodeColor: 65535,52427,57888 Chance RR_All_cause_mortal1 Title: RR All-cause mortality walking: HEAT Definition: Normal( 0.78, 0.102040816 ) NodeLocation: 392,64,1 NodeSize: 72,56 NodeColor: 65535,52427,57888 Chance RR_Other_Heart_Disea Title: RR Other Heart Diseases Definition: normal(0.84, 0.030612245) NodeLocation: 96,176,1 NodeSize: 48,32 WindState: 2,102,77,476,224 NodeColor: 65535,52427,57888 Chance RR_Allcause_mort_wlk Title: RR All-cause mortality Woodcock walking alone Definition: Normal( 0.89, 0.03574 ) NodeLocation: 544,56,1 NodeSize: 56,56 NodeColor: 65535,52427,57888 Chance RR_diabetes Title: RR Diabetes Definition: normal(0.83, 0.040816327) NodeLocation: 576,176,1 NodeSize: 48,24 NodeColor: 65535,52427,57888 DisplayOutputs: Index Input_variable_for_1, Index Input_variable_for_t Variable Relative_Risk_parame Title: Relative Risk parameters by disease Definition: Table(M_and_SD,Diseases1)(~ 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0) NodeLocation: 272,280,1 NodeSize: 48,40 DefnState: 2,895,52,554,454,0,MIDM ReformDef: [M_and_SD,Diseases1] Index M_and_SD Title: M and SD Definition: ['Mean','Standard dev'] NodeLocation: 112,288,1 NodeSize: 48,24 {!40000|Att_PrevIndexValue: ['Mean','Standard dev']} Close RRs Chance Dose_Response_Shape Title: Dose Response Shape Definition: triangular( 0.25, 0.5, 1 ) NodeLocation: 96,272,1 NodeSize: 48,32 WindState: 2,102,83,476,224 ValueState: 2,472,475,416,303,0,CONF NodeColor: 65535,52427,57888 DisplayOutputs: Index Input_variable_for_1, Index Input_variable_for_t Variable Select_Phy_act_shape Title: Select Phy act shape Definition: Choice(Self,3) NodeLocation: 96,344,1 NodeSize: 48,24 WindState: 2,102,83,475,224 Domain: Phy_act_shape {!40300|DomainExpr: Phy_act_shape} {!40200|Att_ChoiceIndexes: Keyword Self} {!40300|Att_SlicerPopupSize: 227,14} Alias Disease_relevant_ac1 Title: Disease relevant activity Definition: 1 NodeLocation: 608,288,1 NodeSize: 48,32 Original: Disease_relevant_act Variable RR_compared_with_no2 Title: RR compared with no exp mort quintiles Definition: var data:=All_cause_mort_splin;~ var a:= getfract(disease_relevant_act, Decile_data);~ ~ {####}~ ~ var data_e:=data[MET__exposure="Max exposure"];~ var data_rr:=data[MET__exposure="1 MET"];~ ~ {####}~ ~ var a_med:=a-data_e[Exposure_category="Low category"];~ var a_high:=a-data_e[Exposure_category="Medium category"];~ var a_top:=a-data_e[Exposure_category="Higher category"];~ ~ {####}~ ~ var c_cum:=data_rr[Exposure_category="Low category"]^data_e[Exposure_category="Low category"];~ ~ var d_cum:=data_rr[Exposure_category="Low category"]^data_e[Exposure_category="Low category"]*data_rr[Exposure_category="Medium category"]^(data_e[Exposure_category="Medium category"]-data_e[Exposure_category="Low category"]);~ ~ var e_cum:=data_rr[Exposure_category="Low category"]^data_e[Exposure_category="Low category"]*data_rr[Exposure_category="Medium category"]^(data_e[Exposure_category="Medium category"]-data_e[Exposure_category="Low category"])*data_rr[Exposure_category="Higher category"]^(data_e[Exposure_category="Higher category"]-data_e[Exposure_category="Medium category"]);~ ~ {####}~ ~ var b:=if a=data_e[Exposure_category="Low category"] then c_cum*data_rr[Exposure_category="Medium category"]^a_med else 0;~ ~ var d:=if a=data_e[Exposure_category="Medium category"] then d_cum*data_rr[Exposure_category="Higher category"]^a_high else 0;~ ~ var e:=if a>=data_e[Exposure_category="Higher category"] then e_cum*data_rr[Exposure_category="Top category"]^a_top else 0;~ ~ b+c+d+e NodeLocation: 824,352,1 NodeSize: 48,48 WindState: 2,237,19,792,746 ValueState: 2,190,45,1069,575,0,MIDM ReformVal: [Fractiles1,Diseases1] {!40000|Att_ResultSliceState: [Gender,1,Vision,1,Age_group,1,Diseases1,1,Fractiles1,1]} Variable All_cause_mort_splin Title: All cause mort splines Definition: Table(Exposure_category,MET__exposure)(~ 0.951957495,6.528916667,~ 0.989620121,14.33858333,~ 0.986357216,29.84508333,~ 0.996052905,54.8) NodeLocation: 960,352,1 NodeSize: 48,32 WindState: 2,102,83,626,393 DefnState: 2,840,586,416,303,0,MIDM ValueState: 2,1488,108,416,303,0,MIDM NodeColor: 65535,52427,57888 ReformDef: [MET__exposure,Exposure_category] ReformVal: [MET__exposure,Exposure_category] Index Exposure_category Title: Exposure category Definition: ['Low category','Medium category','Higher category','Top category'] NodeLocation: 968,192,1 NodeSize: 48,24 {!40000|Att_PrevIndexValue: ['Low category','Medium category','Higher category','Top category']} Index MET__exposure Title: MET, exposure Definition: ['1 MET','Max exposure'] NodeLocation: 968,256,1 NodeSize: 48,24 {!40000|Att_PrevIndexValue: ['1 MET','Max exposure']} Variable working Title: working Definition: if diseases1='All-cause mortality quintiles' then RR_compared_with_no2 else 0~ NodeLocation: 824,456,1 NodeSize: 48,24 WindState: 2,102,83,476,224 ValueState: 2,168,171,1081,608,0,MIDM ReformVal: [Fractiles1,Diseases1] {!40000|Att_ResultSliceState: [Gender,2,Vision,1,Age_group,6,Diseases1,1,Fractiles1,1]} Variable RR_combined Title: RR combined Definition: if RR_compared_with_no_+working > 1 then 1 else RR_compared_with_no_+working NodeLocation: 608,424,1 NodeSize: 48,24 WindState: 2,102,83,476,224 ValueState: 2,516,75,1173,640,0,STAT ReformVal: [Age_group,Diseases1,Undefined,2,Undefined,2] {!40000|Att_ResultSliceState: [Gender,1,Vision,2,Fractiles1,10,Diseases1,1,Sys_LocalIndex('Statistics'),1,Age_group,1]} Close Physical_activity_to Variable Air_pollution_off__1 {!40000|Att_PrevIndexValue: ['item 1']} Title: Air pollution off =1 Definition: 0 IndexVals: ['item 1'] NodeLocation: 264,288,1 NodeSize: 48,32 WindState: 2,102,77,476,224 Aliases: FormNode Air_pollution_off1 {!40300|Att_SlicerPopupSize: 301,30} Alias Change_in_DALYs1 Title: Change in DALYs Definition: 1 NodeLocation: 840,200,1 NodeSize: 48,24 Original: Change_in_DALYs Variable Health_outcome_injur Title: Health outcome injury Definition: var c:=change_in_DALYs[Vision='Baseline'];~ change_in_DALYs-c~ NodeLocation: 744,280,1 NodeSize: 48,32 WindState: 2,156,200,475,401 ValueState: 2,538,187,1123,533,0,MIDM ReformVal: [Vision,Age_group] NumberFormat: 2,F,5,2,0,0,5,0,$,0,"ABBREV",0,,,0,0 {!40000|Att_ResultSliceState: [Gender,2,Deaths__yll__yld,1,Age_group,1,Vision,1]} Variable Health_outcome_non_i Title: Health outcome non injury Definition: var a:=Combine_phy_act___ai[Vision='Baseline'];~ Combine_phy_act___ai - a~ NodeLocation: 584,272,1 NodeSize: 48,32 WindState: 2,156,200,475,401 ValueState: 2,538,187,1123,533,0,MIDM ReformVal: [Age_group,Diseases1] NumberFormat: 2,F,5,2,0,0,5,0,$,0,"ABBREV",0,,,0,0 {!40000|Att_ResultSliceState: [Gender,2,Deaths__yll__yld,3,Vision,2,Diseases1,17,Age_group,1]} Module Mo1 Author: JW745 Date: Wed, Oct 24, 2012 8:28 AM NodeLocation: 504,-32,1 NodeSize: 48,24 Close Mo1 Variable Health_combined Title: Health combined Definition: if diseases1='Road traffic injuries' then Health_outcome_injur else Health_outcome_non_i NodeLocation: 656,360,1 NodeSize: 48,24 WindState: 2,102,83,476,224 ValueState: 2,515,130,913,620,0,STAT ReformVal: [Age_group,Diseases1] {!40000|Att_ResultSliceState: [Gender,1,Deaths__yll__yld,2,Vision,2,Diseases1,1,Sys_LocalIndex('Statistics'),1,Age_group,2]} Index Diseases_short Title: Diseases short Definition: ['Breast Cancer','Colon cancer','Stroke','IHD','Dementia','Depression','Diabetes','Lung Cancer','Respiratory Diseases','Hypertensive heart disease','Inflammatory heart disease','Road traffic injuries'] NodeLocation: 56,544,1 NodeSize: 48,24 WindState: 2,102,83,476,224 ValueState: 2,44,76,416,303,0,MIDM Variable Health_outcome Title: Health outcome Definition: summed_by_age[Diseases1 =Diseases_short];~ NodeLocation: 720,824,1 NodeSize: 40,32 WindState: 2,102,83,476,224 ValueState: 2,210,237,1017,629,0,MIDM Aliases: FormNode Health_outcome_all_2 ReformVal: [Gender,Diseases_short,1,1] NumberFormat: 2,F,4,2,0,0,4,0,$,0,"ABBREV",0,,,0,0 Att__TotalsIndex: SysFunction Probability, Index Diseases_short {!40000|Att_ResultSliceState: [YLL_and_YLD_and_Deat,2,Vision,2,Diseases_short,7,Gender,2]} Objective R1__DALYs Title: R1: DALYs Definition: var a:=summed_by_age[Diseases1 =Diseases_short][yll_and_YLD_and_Deat=YLL_and_YLD];~ sum (a, YLL_and_YLD)~ ~ NodeLocation: 840,616,1 NodeSize: 48,32 WindState: 2,102,83,476,224 ValueState: 2,365,247,1167,653,1,MEAN Aliases: FormNode DALYs2 GraphSetup: {!40000|Graph_AxisLabelFont:,40,0}~ {!40000|Graph_KeyFont:,40,0}~ {!40000|Graph_KeyTitleFont:,40,1}~ {!40000|Graph_AxisTitleFont:Arial,40,1}~ {!40000|Att_StackedBar Graph_Primary_Valdim:0}~ ProbIndex:[0.025 ,0.5 ,0.975 ]~ {!40000|Att_ContLineStyle Graph_Primary_Valdim:0}~ {!40000|Att_ForceCategorical Graph_Primary_Valdim:1}~ {!40000|Flip:0}~ BarOverlap:0~ {!40000|Att_GraphValueRange R1__DALYs:1,,0,,,,10,-60,30}~ {!40000|Att_GraphIndexRange ProbIndex:1,,,,,,10}~ ShowKey:2 ReformVal: [Gender,Diseases_short,1,2] NumberFormat: 2,D,2,2,0,0,2,0,$,0,"ABBREV",0,,,0,0 Att__TotalsIndex: Index Diseases_short {!40000|Att_ResultSliceState: [Vision,2,Gender,1,Diseases_short,7,Sys_LocalIndex('Probability'),1]} Index YLL_and_YLD {!40000|Att_PrevIndexValue: ['YLL','Deaths']} Title: YLL and YLD Definition: ['YLL','YLD'] NodeLocation: 64,616,1 NodeSize: 48,32 WindState: 2,102,83,476,224 Variable Health_outcome1 Title: Health outcome Definition: DALYs[Diseases1 =Diseases_short];~ NodeLocation: 968,608,1 NodeSize: 40,32 WindState: 2,102,83,476,224 ValueState: 2,210,237,827,432,0,MIDM ReformVal: [Age_group,Diseases_short,1,1] NumberFormat: 2,F,4,2,0,0,4,0,$,0,"ABBREV",0,,,0,0 Att__TotalsIndex: SysFunction Probability, Index Diseases_short {!40000|Att_ResultSliceState: [Vision,2,Gender,1,Diseases_short,0,Age_group,1]} Objective all_cause__mort_by_a Title: all cause mort by age Definition: var a:=Deaths___YLLs_all_ca;~ a:=a[phy_act_shape="Power 0.5"];~ a NodeLocation: 208,520,1 NodeSize: 56,24 WindState: 2,102,77,476,224 ValueState: 2,45,78,947,398,0,MIDM GraphSetup: {!40000|Graph_AdaptFontSize:0}~ {!40000|Graph_KeyFont:,24,0}~ ProbIndex:[0.05 ,0.5 ,0.95 ]~ ShowKey:2 ReformVal: [Age_group,Mortality_models] {!40000|Att_GraphValueRange: 1,,,,,,10} {!40000|Att_ResultSliceState: [YLL_and_Deaths,2,Vision,2,Gender,1,Mortality_models,5,Age_group,1]} Variable DALYs_summed Title: DALYs summed Definition: sum(R1__DALYs,diseases_short) NodeLocation: 1008,712,1 NodeSize: 48,24 WindState: 2,102,83,476,224 ValueState: 2,40,50,400,300,0,STAT Aliases: FormNode DALYs_summed1 ReformVal: [Gender,Vision] {!40000|Att_ResultSliceState: [Vision,2,Sys_LocalIndex('Probability'),1,Gender,1]} Variable All_cause_mortality_ Title: All-cause mortality adjusted for smaller effects younger ages Definition: mortality_adjustment*Burden_summary_for_a NodeLocation: 280,624,1 NodeSize: 48,64 WindState: 2,102,83,476,224 ReformVal: [YLL_and_Deaths,Mortality_models] {!40000|Att_ResultSliceState: [Gender,2,Vision,2,Age_group,1,Mortality_models,1,YLL_and_Deaths,1]} Variable mortality_adjustment Title: mortality adjustment Definition: Table(Mortality_models,Age_group)(~ Adjustment_15_29,Adjustment_30_44,Adjustment_45_59,1,1,1,~ 1,1,1,1,1,1,~ 1,1,1,1,1,1,~ Adjustment_15_29,Adjustment_30_44,Adjustment_45_59,1,1,1,~ 1,1,1,1,1,1,~ Adjustment_15_29,Adjustment_30_44,Adjustment_45_59,1,1,1) NodeLocation: 376,720,1 NodeSize: 48,24 WindState: 2,102,83,476,224 DefnState: 2,931,140,728,300,0,MIDM ValueState: 2,136,139,416,303,0,MIDM ReformDef: [Mortality_models,Age_group] ReformVal: [Mortality_models,Age_group] Objective gains_per_million_ho Title: gains per million hours by age & gender all cause? Definition: all_cause__mort_by_a/combined_age_structu NodeLocation: 208,416,1 NodeSize: 48,56 WindState: 2,102,83,476,224 ValueState: 2,536,539,416,303,0,MIDM Aliases: FormNode gains_per_million_h1 ReformVal: [Mortality_models,Age_group] {!40000|Att_ResultSliceState: [Gender,1,Vision,2,YLL_and_Deaths,1,Age_group,1,Mortality_models,1]} Variable R2__DALYs_by_disease Title: R2: DALYs by disease summed gender Definition: sum(R1__DALYs, gender) NodeLocation: 840,792,1 NodeSize: 48,40 WindState: 2,102,83,476,224 ValueState: 2,280,73,1184,801,1,CONF Aliases: FormNode R2__DALYs_by_diseas1 ReformVal: [Vision,Diseases_short,1] Att__TotalsIndex: Index Diseases_short {!40000|Att_ResultSliceState: [Vision,2,Diseases_short,1,Sys_LocalIndex('Probability'),1]} Module M1_NET_RESULTS Title: M1 NET RESULTS Author: James Date: Wed, Jan 2, 2013 12:01 PM NodeLocation: 280,800,1 NodeSize: 48,24 DiagState: 2,1,0,448,245,17 Variable All_cause_net_by_age Title: All-cause net by age Definition: All_cause_mortality_+All_cause_mortality_[mortality_models='Road traffic injuries'] NodeLocation: 120,48,1 NodeSize: 48,24 WindState: 2,102,83,476,224 ValueState: 2,488,491,416,303,0,MIDM ReformVal: [Mortality_models,Age_group] {!40000|Att_ResultSliceState: [Gender,1,Vision,2,YLL_and_Deaths,1,Age_group,1,Mortality_models,1]} Variable All_cause_net_summed Title: All cause net summed Definition: sum(All_cause_net_by_age, age_group) NodeLocation: 272,152,1 NodeSize: 48,32 WindState: 2,102,83,476,224 ValueState: 2,40,50,807,300,0,MIDM ReformVal: [Mortality_models,YLL_and_Deaths,2] {!40000|Att_ResultSliceState: [Gender,1,Vision,2,YLL_and_Deaths,1,Sys_LocalIndex('Probability'),1,Mortality_models,6]} Variable Allcause_m_quint_NET Title: All-cause mort quintiles NET Definition: All_cause_net_summed[Mortality_models='All-cause mortality quintiles'] NodeLocation: 432,64,1 NodeSize: 48,40 WindState: 2,102,83,476,224 ReformVal: [Vision,YLL_and_Deaths] Variable All_cause_total_NET Title: All cause total NET Definition: All_cause_net_summed[Mortality_models='All-cause mortality Woodcock '] NodeLocation: 136,224,1 NodeSize: 48,24 WindState: 2,102,83,476,224 Variable All_cause_walking_NE Title: All cause walking NET Definition: All_cause_net_summed[Mortality_models='All-cause mortality Woodcock walking alone'] NodeLocation: 424,248,1 NodeSize: 48,32 WindState: 2,102,83,476,224 ReformVal: [Vision,YLL_and_Deaths] Variable over_gender Title: over gender Definition: sum(All_cause_net_summed, gender) NodeLocation: 144,336,1 NodeSize: 48,24 WindState: 2,102,83,476,224 ValueState: 2,40,50,400,300,0,CONF ReformVal: [Mortality_models,YLL_and_Deaths,2] {!40000|Att_ResultSliceState: [Vision,2,YLL_and_Deaths,1,Mortality_models,1,Sys_LocalIndex('Probability'),1]} Close M1_NET_RESULTS Module MORTALITY_AGE_ADJUST Title: MORTALITY AGE ADJUSTMENT Author: James Date: Wed, Jan 2, 2013 12:01 PM NodeLocation: 480,800,1 NodeSize: 80,32 DiagState: 2,1,0,448,245,17 Chance Adjustment_15_29 Title: Adjustment 15-29 Definition: Triangular( .3333, .5, .66666 ) NodeLocation: 96,56,1 NodeSize: 48,32 WindState: 2,102,83,476,224 ValueState: 2,40,50,400,300,0,MIDM Chance Adjustment_30_44 Title: Adjustment 30-44 Definition: Triangular( .5, .67, .8 ) NodeLocation: 96,56,1 NodeSize: 48,32 WindState: 2,102,83,476,224 Chance Adjustment_45_59 Title: Adjustment 45-59 Definition: Triangular( .7, .75, .8 ) NodeLocation: 96,56,1 NodeSize: 48,32 WindState: 2,102,83,476,224 Close MORTALITY_AGE_ADJUST Module M2_RESULTS_INCLUDING Title: M2 RESULTS INCLUDING INJURIES Author: James Date: Wed, Jan 2, 2013 12:01 PM NodeLocation: 120,792,1 NodeSize: 64,40 DiagState: 2,1,0,448,245,17 Variable M_2__all_cause_mort_ Title: M 2: all cause mort including injuries Definition: sum(All_cause_mortality_, age_group) NodeLocation: 96,64,1 NodeSize: 48,40 WindState: 2,102,83,476,224 ValueState: 2,40,50,400,300,0,CONF ReformVal: [Mortality_models,Mortality_models,2] {!40000|Att_ResultSliceState: [Gender,2,Vision,2,YLL_and_Deaths,1,Mortality_models,1,Sys_LocalIndex('Probability'),1]} Variable M3__summed_over_gend Title: M3: summed over gender Definition: sum(M_2__all_cause_mort_, gender) NodeLocation: 152,192,1 NodeSize: 48,32 WindState: 2,102,83,476,224 ValueState: 2,40,50,400,300,0,CONF ReformVal: [Mortality_models,YLL_and_Deaths,2] {!40000|Att_ResultSliceState: [Vision,2,YLL_and_Deaths,1,Sys_LocalIndex('Probability'),1,Mortality_models,1]} Close M2_RESULTS_INCLUDING Module Per_million_by_age_g Title: Per million by age group Author: James Date: Wed, Jan 2, 2013 3:06 PM NodeLocation: 1064,480,1 NodeSize: 48,32 DiagState: 2,1,0,448,245,17 Objective gains_per_million_h2 Title: gains per million hours by age & gender by disease? Definition: Health_outcome1/combined_age_structu NodeLocation: 272,384,1 NodeSize: 48,56 WindState: 2,102,83,476,224 ValueState: 2,40,50,400,300,0,MIDM Aliases: FormNode gains_per_million_h3 ReformVal: [Diseases_short,Age_group,1] Att__TotalsIndex: Index Diseases_short {!40000|Att_ResultSliceState: [Gender ,2 ,Vision ,2 ,Age_group ,6 ,Diseases_short ,1 ]} Variable summed_across_gender Title: summed across gender Definition: sum(gains_per_million_h2, gender) NodeLocation: 344,152,1 NodeSize: 48,32 WindState: 2,102,83,476,224 ValueState: 2,40,50,400,300,0,MIDM ReformVal: [Age_group,Diseases_short] {!40000|Att_ResultSliceState: [Vision,2,Diseases_short,1,Age_group,1]} Close Per_million_by_age_g Objective All_cause_mort_summa Title: All cause mort summary Definition: var a:=Deaths__YLLs___YLDs_;~ a:=a[phy_act_shape="Power 0.5"];~ a:=sum(a, age_group);~ a NodeLocation: 576,720,1 NodeSize: 48,32 WindState: 2,550,105,1065,224 ValueState: 2,45,149,1112,826,0,MIDM ReformVal: [Vision,Diseases1] NumberFormat: 2,F,4,1,0,0,4,0,$,0,"ABBREV",0,,,0,0 Att__TotalsIndex: Variable Air_pollution_off__1 {!40000|Att_ResultSliceState: [Gender,1,YLL_and_YLD_and_Deat,2,Diseases1,1,Vision,1]} Close Health_module Module BOD_data Title: BOD data Author: jw745 Date: 10 Apr 2012 10:29 NodeLocation: 240,392,1 NodeSize: 48,24 DiagState: 2,-79,122,714,568,19 Index Age_group Title: Age group Units: years Definition: ['15-29','30-44','45-59','60-69','70-79','80+'] NodeLocation: 168,168,1 NodeSize: 48,24 WindState: 2,926,-20,476,313 {!40300|Att_SlicerPopupSize: 252,126} {!40000|Att_PrevIndexValue: ['15-29','30-44','45-59','60-69','70-79','80+']} Index Population__deaths__ Title: Population, deaths, ylls, ylds Description: Population, deaths, ylls, ylds Definition: ['pproj','dproj','yll','yld'] NodeLocation: 152,288,1 NodeSize: 48,32 WindState: 2,102,85,476,603 {!40000|Att_PrevIndexValue: ['pproj','dproj','yll','yld']} Variable Reweighted_burdens__ Title: Reweighted burdens & pop Definition: var a:=Pop_size_by_age/GBD_data1[population__deaths__='pproj'];~ a*GBD_data1 NodeLocation: 344,296,1 NodeSize: 48,32 WindState: 2,38,104,476,224 ValueState: 2,269,87,544,303,0,MIDM ReformVal: [Age_group,Diseases1] {!40000|Att_ResultSliceState: [Gender,2,Population__deaths__,4,Diseases1,1,Age_group,1]} Index Deaths__yll__yld Title: Deaths, yll, yld Description: Population, deaths, ylls, ylds Definition: ['dproj','yll','yld'] NodeLocation: 160,480,1 NodeSize: 48,32 WindState: 2,102,85,476,603 {!40000|Att_PrevIndexValue: ['dproj','yll','yld']} Variable Population_size Title: Population size Definition: 578607 NodeLocation: 472,192,1 NodeSize: 48,24 WindState: 2,102,83,476,224 Aliases: FormNode Population_size3 NodeColor: 65535,52427,57888 Variable Pop_size_by_age Title: Pop size by age Definition: combined_age_structu*Population_size NodeLocation: 568,256,1 NodeSize: 48,24 WindState: 2,102,83,476,224 ValueState: 2,40,50,416,303,0,MIDM NodeColor: 65535,52427,57888 ReformVal: [Gender,Age_group] {!40000|Att_ResultSliceState: [Gender,2,Age_group,1,Vision,1]} Variable GBD_data1 Title: GBD data Definition: Table(Gender,Diseases1,Age_group,Population__deaths__)(~ 6.06402M,0,0,0,~ 6.44327M,2,81,0,~ 5.86962M,7,185,0,~ 3.12212M,19,320,0,~ 1.8749M,22,223,0,~ 1.18782M,39,188,0,~ 6.06402M,11,652,65,~ 6.44327M,138,5830,594,~ 5.86962M,1096,30.027K,4925,~ 3.12212M,2382,41.051K,6156,~ 1.8749M,3137,31.775K,4573,~ 1.18782M,3499,16.98K,2617,~ 6.06402M,49,2817,2196,~ 6.44327M,265,11.227K,9617,~ 5.86962M,1102,30.205K,18.462K,~ 3.12212M,2243,38.654K,13.916K,~ 1.8749M,6304,63.86K,10.21K,~ 1.18782M,15.377K,74.616K,8485,~ 6.06402M,46,2617,471,~ 6.44327M,779,32.956K,6323,~ 5.86962M,5201,142.515K,21.81K,~ 3.12212M,9895,170.493K,21.472K,~ 1.8749M,17.145K,173.682K,18.146K,~ 1.18782M,26.577K,128.965K,8154,~ 6.06402M,1,62,1484,~ 6.44327M,10,431,1102,~ 5.86962M,48,1302,7262,~ 3.12212M,334,5761,36.89K,~ 1.8749M,1395,14.128K,60.906K,~ 1.18782M,5738,27.845K,75.495K,~ 6.06402M,0,0,41.991K,~ 6.44327M,0,0,43.233K,~ 5.86962M,0,0,35.903K,~ 3.12212M,1,19,17.955K,~ 1.8749M,6,63,4309,~ 1.18782M,42,202,1981,~ 6.06402M,6,352,481,~ 6.44327M,71,3010,7314,~ 5.86962M,289,7916,20.23K,~ 3.12212M,631,10.879K,19.216K,~ 1.8749M,1123,11.378K,11.857K,~ 1.18782M,1660,8057,6183,~ 6.06402M,3140.262941,180.0170828K,1,~ 6.44327M,6845.858688,289.5560847K,1,~ 5.86962M,25.07070674K,686.9602208K,1,~ 3.12212M,42.4265397K,731.1008184K,1,~ 1.8749M,64.65450583K,654.9667593K,1,~ 1.18782M,120.0085535K,582.3296459K,1,~ 6.06402M,3140.262941,180.0170828K,1,~ 6.44327M,6845.858688,289.5560847K,1,~ 5.86962M,25.07070674K,686.9602208K,1,~ 3.12212M,42.4265397K,731.1008184K,1,~ 1.8749M,64.65450583K,654.9667593K,1,~ 1.18782M,120.0085535K,582.3296459K,1,~ 6.06402M,3140.262941,180.0170828K,1,~ 6.44327M,6845.858688,289.5560847K,1,~ 5.86962M,25.07070674K,686.9602208K,1,~ 3.12212M,42.4265397K,731.1008184K,1,~ 1.8749M,64.65450583K,654.9667593K,1,~ 1.18782M,120.0085535K,582.3296459K,1,~ 6.06402M,0,0,0,~ 6.44327M,150,6340,44,~ 5.86962M,2230,61.11K,825,~ 3.12212M,4821,83.077K,1622,~ 1.8749M,4761,48.234K,1334,~ 1.18782M,3016,14.637K,758,~ 6.06402M,55,3145,34.653K,~ 6.44327M,135,5718,30.695K,~ 5.86962M,1007,27.584K,79.682K,~ 3.12212M,2992,51.548K,40.606K,~ 1.8749M,5320,53.897K,18.124K,~ 1.18782M,10.227K,49.625K,9485,~ 6.06402M,2,112,1,~ 6.44327M,33,1386,26,~ 5.86962M,182,4996,145,~ 3.12212M,246,4234,220,~ 1.8749M,433,4387,505,~ 1.18782M,759,3683,1479,~ 6.06402M,57,3244,574,~ 6.44327M,154,6512,1217,~ 5.86962M,359,9844,1239,~ 3.12212M,325,5602,1059,~ 1.8749M,321,3248,609,~ 1.18782M,371,1800,318,~ 6.06402M,3140.262941,180.0170828K,1,~ 6.44327M,6845.858688,289.5560847K,1,~ 5.86962M,25.07070674K,686.9602208K,1,~ 3.12212M,42.4265397K,731.1008184K,1,~ 1.8749M,64.65450583K,654.9667593K,1,~ 1.18782M,120.0085535K,582.3296459K,1,~ 6.06402M,4165,238.468K,460.981K,~ 6.44327M,8620,364.723K,406.948K,~ 5.86962M,26.763K,733.357K,505.427K,~ 3.12212M,44.827K,772.397K,406.683K,~ 1.8749M,73.116K,740.694K,281.855K,~ 1.18782M,126.686K,614.741K,182.774K,~ 6.06402M,3140.262941,180.0170828K,1,~ 6.44327M,6845.858688,289.5560847K,1,~ 5.86962M,25.07070674K,686.9602208K,1,~ 3.12212M,42.4265397K,731.1008184K,1,~ 1.8749M,64.65450583K,654.9667593K,1,~ 1.18782M,120.0085535K,582.3296459K,1,~ 5.89582M,19,1138,340,~ 6.33071M,688,30.665K,6945,~ 6.1159M,2833,86.269K,11.748K,~ 3.44126M,3022,60.667K,6317,~ 2.40708M,3364,40.411K,5537,~ 1.87002M,4779,22.111K,3689,~ 5.89582M,10,595,139,~ 6.33071M,116,5157,1033,~ 6.1159M,701,21.36K,3947,~ 3.44126M,1486,29.823K,4532,~ 2.40708M,2562,30.775K,4669,~ 1.87002M,4098,18.958K,3364,~ 5.89582M,40,2399,2221,~ 6.33071M,209,9312,10.71K,~ 6.1159M,934,28.448K,25.498K,~ 3.44126M,1715,34.418K,10.611K,~ 2.40708M,7096,85.236K,13.042K,~ 1.87002M,30.18K,139.627K,18.12K,~ 5.89582M,10,591,107,~ 6.33071M,174,7758,2291,~ 6.1159M,1129,34.391K,10.08K,~ 3.44126M,3522,70.698K,15.35K,~ 2.40708M,11.391K,136.823K,19.127K,~ 1.87002M,31.751K,146.894K,10.212K,~ 5.89582M,3,162,1676,~ 6.33071M,6,270,1304,~ 6.1159M,56,1713,9954,~ 3.44126M,311,6245,52.252K,~ 2.40708M,2107,25.303K,108.661K,~ 1.87002M,13.714K,63.445K,192.545K,~ 5.89582M,0,0,74.702K,~ 6.33071M,0,0,92.33K,~ 6.1159M,0,0,82.821K,~ 3.44126M,8,159,21.774K,~ 2.40708M,13,151,11.243K,~ 1.87002M,117,543,7485,~ 5.89582M,4,264,201,~ 6.33071M,34,1500,6664,~ 6.1159M,143,4361,29.845K,~ 3.44126M,433,8701,29.687K,~ 2.40708M,949,11.399K,18.77K,~ 1.87002M,2368,10.956K,10.03K,~ 5.89582M,1266.427419,75.89207472K,1,~ 6.33071M,4100.533097000001,182.7382875K,1,~ 6.1159M,15.71781599K,478.6167146K,1,~ 3.44126M,26.98435498K,541.67889K,1,~ 2.40708M,53.74291154K,645.5855617K,1,~ 1.87002M,169.1348437K,782.4721091K,1,~ 5.89582M,1266.427419,75.89207472K,1,~ 6.33071M,4100.533097000001,182.7382875K,1,~ 6.1159M,15.71781599K,478.6167146K,1,~ 3.44126M,26.98435498K,541.67889K,1,~ 2.40708M,53.74291154K,645.5855617K,1,~ 1.87002M,169.1348437K,782.4721091K,1,~ 5.89582M,1266.427419,75.89207472K,1,~ 6.33071M,4100.533097000001,182.7382875K,1,~ 6.1159M,15.71781599K,478.6167146K,1,~ 3.44126M,26.98435498K,541.67889K,1,~ 2.40708M,53.74291154K,645.5855617K,1,~ 1.87002M,169.1348437K,782.4721091K,1,~ 5.89582M,0,0,0,~ 6.33071M,77,3418,34,~ 6.1159M,1668,50.795K,638,~ 3.44126M,3251,65.257K,1093,~ 2.40708M,3459,41.549K,984,~ 1.87002M,2687,12.432K,681,~ 5.89582M,44,2665,35.657K,~ 6.33071M,101,4504,41.714K,~ 6.1159M,755,23.001K,100.541K,~ 3.44126M,2228,44.715K,47.373K,~ 2.40708M,4555,54.715K,17.464K,~ 1.87002M,9489,43.901K,11.948K,~ 5.89582M,1,44,0,~ 6.33071M,11,511,9,~ 6.1159M,55,1667,42,~ 3.44126M,131,2630,121,~ 2.40708M,424,5092,508,~ 1.87002M,1476,6828,2909,~ 5.89582M,20,1201,226,~ 6.33071M,49,2193,623,~ 6.1159M,131,3994,572,~ 3.44126M,171,3438,642,~ 2.40708M,295,3541,613,~ 1.87002M,510,2358,453,~ 5.89582M,1266.427419,75.89207472K,1,~ 6.33071M,4100.533097000001,182.7382875K,1,~ 6.1159M,15.71781599K,478.6167146K,1,~ 3.44126M,26.98435498K,541.67889K,1,~ 2.40708M,53.74291154K,645.5855617K,1,~ 1.87002M,169.1348437K,782.4721091K,1,~ 5.89582M,264,15.848K,5890,~ 6.33071M,147,6539,2430,~ 6.1159M,140,4258,1439,~ 3.44126M,97,1951,422,~ 2.40708M,129,1546,241,~ 1.87002M,141,653,67,~ 5.89582M,1266.427419,75.89207472K,1,~ 6.33071M,4100.533097000001,182.7382875K,1,~ 6.1159M,15.71781599K,478.6167146K,1,~ 3.44126M,26.98435498K,541.67889K,1,~ 2.40708M,53.74291154K,645.5855617K,1,~ 1.87002M,169.1348437K,782.4721091K,1) NodeLocation: 320,208,1 NodeSize: 48,24 WindState: 2,102,83,476,224 DefnState: 2,568,571,416,303,0,MIDM ValueState: 2,40,50,0,0,0,SAMP ReformDef: [Population__deaths__,Age_group] ReformVal: [Clipboard_Diseases,Diseases1] {!40000|Att_ResultSliceState: [Gender,1,Age_group,1,Population__deaths__,2,Diseases1,1,Clipboard_Diseases,1]} {!40000|Att_EditSliceState: [Gender,2,Diseases1,17,Age_group,1,Population__deaths__,1]} Variable Reweighted_burdens Title: Reweighted burdens Definition: Reweighted_burdens__[population__deaths__=deaths__yll__yld] NodeLocation: 320,392,1 NodeSize: 48,24 WindState: 2,102,83,476,224 ValueState: 2,424,427,749,303,0,MIDM ReformVal: [Age_group,Diseases1] {!40000|Att_ResultSliceState: [Gender,1,Deaths__yll__yld,1,Diseases,1,Age_group,1]} Close BOD_data Variable total_pop_size Title: Total pop size Definition: var a:={Index_change}[Population__deaths__='pproj'];~ a:=a[Diseases1='Breast Cancer'];~ sum(a,age_group, gender) NodeLocation: 64,456,1 NodeSize: 48,24 WindState: 2,102,83,476,224 ReformVal: [Self,Population__deaths__] Module Physical_activity Title: Physical activity Author: jw745 Date: 15 May 2012 17:04 SaveAuthor: jw745 SaveDate: Tue, Nov 13, 2012 10:01 AM NodeLocation: 480,104,1 NodeSize: 48,24 DiagState: 2,10,-3,1109,734,17 WindState: 2,102,83,476,224 Module Cycling Title: Cycling Description: Integrated Transport and Health Impact Modelling Tool Author: jw745 Date: 15 Nov 2011 12:25 SaveAuthor: jw745 SaveDate: 19 Nov 2011 14:21 DefaultSize: 48,24 NodeLocation: 328,64,1 NodeSize: 48,24 NodeInfo: 1,1,1,1,1,1,0,0,0,0 DiagState: 2,400,50,1073,746,17 WindState: 2,98,90,476,224 FontStyle: Arial, 13 OutlinerState: 2,40,43,448,280 Variable Cyc_time_distributio Title: Cyc time distribution amongst cyclists Units: h/week Definition: var a:=Mean_cycling_amongst*Cycl_time_variabilit;~ a/60 NodeLocation: 456,264,1 NodeSize: 48,40 WindState: 2,613,279,476,224 ValueState: 2,780,231,587,441,0,CONF ReformVal: [Vision,Age_group,2,Undefined,Undefined,2] NumberFormat: 2,F,4,3,0,0,4,0,$,0,"ABBREV",0,,,0,0 {!40000|Att_ResultSliceState: [Gender,1,Age_group,6,Sys_LocalIndex('Probability'),1,Vision,1]} Objective Cycling_MET_Distribu Title: Cycling MET Distributions Units: METh/week Definition: Cycling_MET_values*Cyc_time_distributio NodeLocation: 456,360,1 NodeSize: 48,24 WindState: 2,638,144,476,224 ValueState: 2,452,38,863,480,0,MEAN ReformVal: [Vision,Age_group,2,Undefined,Undefined,2] NumberFormat: 2,F,4,0,0,0,4,0,$,0,"ABBREV",0,,,0,0 {!40000|Att_ResultSliceState: [Gender,2,Age_group,1,Vision,1]} Chance Cycling_MET_values Title: Cycling MET values Units: MET Definition: LogNormal( median:5.8, gsdev:1.3 ) NodeLocation: 616,360,1 NodeSize: 48,24 WindState: 2,98,90,476,224 ValueState: 2,410,335,307,249,0,CONF Aliases: Alias Cycling_MET_values2 NodeColor: 65535,52427,57888 Variable Mean_cycling_amongst Title: Mean cycling amongst those who cycle Units: min/week Definition: Cyc_time_by_group/Proportion_pop_cycl_ NodeLocation: 456,144,1 NodeSize: 56,32 WindState: 2,98,90,476,224 ValueState: 2,217,83,614,399,0,MIDM ReformVal: [Vision,Age_group] {!40000|Att_ResultSliceState: [Gender,2,Age_group,1,Vision,1]} Variable Proportion_pop_cycl_ Title: Proportion pop cycl baseline Units: fraction Definition: Table(Age_group,Gender,Vision)(~ 0.561631298,0.561631298,~ 0.447639297,0.447639297,~ 0.5534769040000001,0.5534769040000001,~ 0.484368904,0.484368904,~ 0.620320354,0.620320354,~ 0.455837221,0.455837221,~ 0.40522931,0.40522931,~ 0.302686679,0.302686679,~ 0.363512009,0.363512009,~ 0.23649462,0.23649462,~ 0.423109257,0.423109257,~ 0.236318426,0.236318426) NodeLocation: 240,280,1 NodeSize: 48,32 WindState: 2,258,111,476,224 DefnState: 2,191,86,489,355,0,MIDM ValueState: 2,1032,311,813,303,0,MIDM Aliases: FormNode Proportion_of_pop_c2 NodeColor: 65535,52427,61166 ReformDef: [Vision,Age_group] ReformVal: [Vision,Age_group] {!40000|Att_ResultSliceState: [Gender,2,Age_group,8,Vision,1]} {!40000|Att_EditSliceState: [Gender,2,Age_group,1,Vision,1]} Chance Other_visions Title: Other visions Units: METh/week Definition: b_cycl*Cycling_MET_Distribu NodeLocation: 456,472,1 NodeSize: 48,24 WindState: 2,1349,129,476,452 ValueState: 2,940,87,838,776,0,MIDM GraphSetup: ProbIndex:[0.05, 0.1, 0.25, 0.3333333333333333, 0.5, 0.6666666666666667, 0.75, 0.9, 0.95 ] ReformVal: [Vision,Age_group,Undefined,2,Undefined,2] Att__TotalsIndex: SysVar Run {!40000|Att_ResultSliceState: [Gender,2,Age_group,4,Sys_LocalIndex('Statistics'),1,Vision,1]} Objective Cycling_physical_act Title: Cycling physical activity Units: METh/week Definition: Other_visions NodeLocation: 456,552,1 NodeSize: 48,32 WindState: 2,102,83,476,224 ValueState: 2,247,190,734,303,0,MIDM GraphSetup: {!40000|Att_GraphValueRange Graph_Cdf_Valdim:1,,,1,0}~ {!40000|Att_GraphValueRange Cycling_physical_act:|1:1,0,0,,,,,0,50}~ DistResol:1~ {!40000|Graph_AxisLabelFont:,33,0}~ {!40000|Graph_AxisTitleFont:Arial,34,1}~ ShowKey:2~ Grid:3~ ProbIndex:[0.025, 0.05, 0.25, 0.5, 0.75, 0.95, 0.975 ]~ {!40000|Graph_OutlineKey:0}~ {!40000|Att_GraphValueRange Graph_Pdf_Valdim:1,0,0,1,,,,0,10}~ {!40000|Att_CatLineStyle Graph_Cdf_Valdim:1} ReformVal: [Vision,Age_group,2,2,1] DisplayOutputs: Variable Non_work_activity, Variable Total_MET, Variable Total_MET_per_activ4 {!40000|Att_ResultSliceState: [Gender,1,Age_group,3,Sys_LocalIndex('Statistics'),1,Vision,7]} {!40200|Att_GraphSetupSlices: [3,1,DensityIndex,1]} Chance Cycl_time_variabilit Title: Cycl time variability Definition: LogNormal( mean:1, stddev:0.958352192 ) NodeLocation: 616,264,1 NodeSize: 48,24 WindState: 2,102,77,476,224 ValueState: 2,558,205,463,319,0,PDFP Aliases: FormNode Cycl_time_uncertain1 NodeColor: 65535,52427,57888 ReformVal: [Vision,Age_group] {!40000|Att_ResultSliceState: [Age_group,4,Gender,1,Sys_LocalIndex('Probability'),1,Vision,1]} Variable Cyc_time_by_group Title: Cyc time by group Definition: Time_by_mode_by_age_[Mode1='cycle'] NodeLocation: 456,32,1 NodeSize: 48,24 WindState: 2,112,246,476,224 ValueState: 2,40,50,116,15,0,MIDM ReformVal: [Vision,Age_group] {!40000|Att_ResultSliceState: [Gender,1,Age_group,1,Vision,1]} Chance b_cycl Title: b_cycl Definition: Bernoulli( Proportion_pop_cycl_) NodeLocation: 240,472,1 NodeSize: 48,24 Close Cycling Module Walking Title: Walking Description: Walking_Time_Distrib*Walking_MET_values Author: jw745 Date: 19 Nov 2011 16:25 DefaultSize: 48,24 NodeLocation: 608,64,1 NodeSize: 48,24 DiagState: 2,96,18,860,746,17 Variable Speed_by_age__gende Units: km/day Description: taken from NTS for Greater London calc by Anna g Definition: Table(Gender,Age_group)(~ 4.9,4.74,4.66,4.51,4.17,4.16,~ 5.18,5.05,4.93,4.67,4.5,4.43) NodeLocation: 208,352,1 NodeSize: 48,32 WindState: 2,384,431,476,224 DefnState: 2,328,331,416,303,0,MIDM ValueState: 2,422,36,416,311,0,MIDM Aliases: FormNode Speed_by_age__gende1 NodeColor: 65535,52427,61166 ReformDef: [Gender,Age_group] ReformVal: [Vision,Undefined] {!40000|Att_ResultSliceState: [Gender,1,Road_type,1,Victim_mode,1,Trip_length,10,Age_group,1,Vision,1]} Variable Walking_MET_values Title: Walking MET values Definition: var b:=speed_by_age__gende[mode1='walk'];~ var a:=Speed_MET_conversion[Numbers="Number 1"]*exp(Speed_MET_conversion[Numbers="Number 2"]*b);~ ~ if a0 or Bytes > 24, excluding those in the Profiler. Definition: MetaVar top := Topmodel_id;~ MetaIndex allobjs := Profiler_descendants(top);~ METAVAR allProfiles := Profileobj(allobjs);~ MetaIndex Objs := Subset(allProfiles[Profiler_fields='CPU msecs'] > 0 OR~ allProfiles[Profiler_fields='Bytes'] > 24 OR~ allProfiles[Profiler_fields='msecs w ancestors']);~ allProfiles[allobjs = Objs] NodeLocation: 344,128,1 NodeSize: 56,24 WindState: 2,438,69,525,397 Variable Topmodel_id Title: TopModel ID Definition: Reset_profiler; METAVAR m := Isin OF Self;~ WHILE (NOT IsUndef(Isin OF m )) DO m := Isin OF m NodeLocation: 216,126,1 NodeSize: 48,24 Variable Performance_profiles Title: Performance profiles Description: Shows the Class, Kbytes (memory used), CPU secs (to compute this object), CPU secs w. ancestors (time to compute this variable and all its predecessors) for all objects (variables and functions) with non-zero computation time, sorted as requested. Definition: VAR Profiles := Profileall();~ var sortField := Profiles[Profiler_fields=Sort_objects_by];~ if Sort_objects_by<>"Class" then sortField := -sortField;~ MetaIndex object_id := SortIndex(sortField, Profiles.Objs);~ Profiles[.Objs = object_id] NodeLocation: 344,192,1 NodeSize: 56,24 WindState: 2,102,90,497,494 ValueState: 2,420,172,1087,543,0,MIDM Aliases: FormNode Ordered_profiles1 GraphSetup: {!40000|Att_graphvaluerange Performance_profiles:1,,,,,,10}~ {!40000|Att_graphindexrange Profiler_fields:1,,,,,,10}~ {!40000|Flip:8}~ {!40000|Att_catlinestyle Graph_primary_valdim:9} ReformVal: [Profiler_fields,Sys_LocalIndex('OBJECT_ID')] NumberFormat: 1,I,6,3,1,0 {!40000|Att_ResultSliceState: [Profiler_fields,2,Sys_LocalIndex('OBJECTS_IDS'),1]} Variable Reset_profiler Title: Reset Profiler Description: Used to reset the computations for profiling. Definition: 3 NodeLocation: 104,126,1 NodeSize: 48,24 Variable Id_of_this_library Title: ID of this library Definition: Identifier(Isin OF (Isin OF Self)) NodeLocation: 160,256,1 NodeSize: 48,24 Close Profiler_details Close Performance_profiler FormNode New_trip_uncertaint1 Title: New trip uncertainty Definition: 0 NodeLocation: 996,292,1 NodeSize: 132,12 NodeInfo: 1,0,0,1,0,0,0,78,0,1, Original: New_trip_uncertainty FormNode Age_structure_women1 Title: Age structure women Definition: 0 NodeLocation: 992,212,1 NodeSize: 136,12 NodeInfo: 1,0,0,1,0,0,0,72,0,1, Original: Age_structure_women FormNode A__male1 Title: % male Definition: 0 NodeLocation: 944,244,1 NodeSize: 88,12 NodeInfo: 1,0,0,1,0,0,0,72,0,1, Original: A__male FormNode gains_per_million_h1 Title: gains per million hours? Definition: 1 NodeLocation: 436,204,1 NodeSize: 228,12 NodeInfo: 1,0,0,1,0,0,0,72,0,1, Original: gains_per_million_ho FormNode gains_per_million_h3 Title: gains per million hours by age & gender by disease? Definition: 1 NodeLocation: 432,228,1 NodeSize: 232,12 NodeInfo: 1,0,0,1,0,0,0,72,0,1, Original: gains_per_million_h2 FormNode male_age_uncertaint1 Title: male age uncertainty Definition: 0 NodeLocation: 996,156,1 NodeSize: 132,12 NodeInfo: 1,0,0,1,0,0,0,72,0,1, Original: male_age_uncertainty Close ITHIM_model