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Wed May 22 18:56:06 2019 UTC (5 years, 1 month ago) by brouard
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Summary: 0.99r19 version

1: #$Revision: 1.2 $ $Date: 2019/05/22 18:56:06 $ 2: # ADL ANALYSIS USING SABE 2000 2006 AND 2010 by sex basic model with weights 3: # 4: title=testV1V2 datafile=data/data2.txt lastobs=2500 firstpass=1 lastpass=3 5: ftol=1.e-08 stepm=24 ncovcol=2 nqv=0 ntv=0 nqtv=0 nlstate=2 ndeath=1 maxwav=3 mle=1 weight=1 6: model=1+age+V1+V2. 7: # Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ... 8: 12 -8.1682774 0.0847996 0.0 0.2682606 9: 13 -8.1383206 0.0766705 0.0 0.4020807 10: 21 2.3321826 -0.0492910 0.0 -0.4643334 11: 23 -8.2079189 0.0888604 0.0 0.1497600 12: # Scales (for hessian or gradient estimation) 13: 12 0. 0. 0. 0. 14: 13 0. 0. 0. 0. 15: 21 0. 0. 0. 0. 16: 23 0. 0. 0. 0. 17: # Covariance matrix 18: #121 Var(a12) 19: #122 Cov(b12,a12) Var(b12) 20: #123 Cov(c12,a12) Cov(c12,b12) Var(c12) 21: #124 Cov(d12,a12) Cov(d12,b12) Cov(d12,c12) Var(d12) 22: #131 Cov(a13,a12) Cov(a13,b12) Cov(a13,c12) Cov(a13,d12) Var(a13) 23: #132 Cov(b13,a12) Cov(b13,b12) Cov(b13,c12) Cov(b13,d12) Cov(b13,a13) Var(b13) 24: #133 Cov(c13,a12) Cov(c13,b12) Cov(c13,c12) Cov(c13,d12) Cov(c13,a13) Cov(c13,b13) Var(c13) 25: #134 Cov(d13,a12) Cov(d13,b12) Cov(d13,c12) Cov(d13,d12) Cov(d13,a13) Cov(d13,b13) Cov(d13,c13) Var(d13) 26: #211 Cov(a21,a12) Cov(a21,b12) Cov(a21,c12) Cov(a21,d12) Cov(a21,a13) Cov(a21,b13) Cov(a21,c13) Cov(a21,d13) Var(a21) 27: #212 Cov(b21,a12) Cov(b21,b12) Cov(b21,c12) Cov(b21,d12) Cov(b21,a13) Cov(b21,b13) Cov(b21,c13) Cov(b21,d13) Cov(b21,a21) Var(b21) 28: #213 Cov(c21,a12) Cov(c21,b12) Cov(c21,c12) Cov(c21,d12) Cov(c21,a13) Cov(c21,b13) Cov(c21,c13) Cov(c21,d13) Cov(c21,a21) Cov(c21,b21) Var(c21) 29: #214 Cov(d21,a12) Cov(d21,b12) Cov(d21,c12) Cov(d21,d12) Cov(d21,a13) Cov(d21,b13) Cov(d21,c13) Cov(d21,d13) Cov(d21,a21) Cov(d21,b21) Cov(d21,c21) Var(d21) 30: #231 Cov(a23,a12) Cov(a23,b12) Cov(a23,c12) Cov(a23,d12) Cov(a23,a13) Cov(a23,b13) Cov(a23,c13) Cov(a23,d13) Cov(a23,a21) Cov(a23,b21) Cov(a23,c21) Cov(a23,d21) Var(a23) 31: #232 Cov(b23,a12) Cov(b23,b12) Cov(b23,c12) Cov(b23,d12) Cov(b23,a13) Cov(b23,b13) Cov(b23,c13) Cov(b23,d13) Cov(b23,a21) Cov(b23,b21) Cov(b23,c21) Cov(b23,d21) Cov(b23,a23) Var(b23) 32: #233 Cov(c23,a12) Cov(c23,b12) Cov(c23,c12) Cov(c23,d12) Cov(c23,a13) Cov(c23,b13) Cov(c23,c13) Cov(c23,d13) Cov(c23,a21) Cov(c23,b21) Cov(c23,c21) Cov(c23,d21) Cov(c23,a23) Cov(c23,b23) Var(c23) 33: #234 Cov(d23,a12) Cov(d23,b12) Cov(d23,c12) Cov(d23,d12) Cov(d23,a13) Cov(d23,b13) Cov(d23,c13) Cov(d23,d13) Cov(d23,a21) Cov(d23,b21) Cov(d23,c21) Cov(d23,d21) Cov(d23,a23) Cov(d23,b23) Cov(d23,c23) Var(d23) 34: 121 0. 35: 122 0. 0. 36: 123 0. 0. 0. 37: 124 0. 0. 0. 0. 38: 131 0. 0. 0. 0. 0. 39: 132 0. 0. 0. 0. 0. 0. 40: 133 0. 0. 0. 0. 0. 0. 0. 41: 134 0. 0. 0. 0. 0. 0. 0. 0. 42: 211 0. 0. 0. 0. 0. 0. 0. 0. 0. 43: 212 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 44: 213 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 45: 214 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 46: 231 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 47: 232 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 48: 233 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 49: 234 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 50: # agemin agemax for life expectancy, bage fage (if mle==0 ie no data nor Max likelihood). 51: agemin=60 agemax=95 bage=60 fage=95 estepm=24 ftolpl=6e-5 52: # Observed prevalence period 53: begin-prev-date=1/1/2000 end-prev-date=12/12/2006 mov_average=0 54: # Health expectancies computed from stable (period) prevalence (pop_based=0) or population based (1) 55: pop_based=1 56: # Prevalence forecasting 57: #prevforecast=0 starting-proj-date=1/1/1998 final-proj-date=1/1/2002 mobil_average=1 58: prevforecast=1 yearsfproj=10 mobil_average=0 59: prevbackcast=1 yearsbproj=10 mobil_average=1 60: result:V1=0 V2=0 61: result:V1=1 V2=0 62: result:V1=1 V2=1 63: result:V1=0 V2=0