#IMaCh 0.99r19 #$Revision: 1.1 $ $Date: 2019/05/22 19:07:27 $ # ADL ANALYSIS USING SABE 2000 2006 AND 2010 by sex basic model with weights # title=testV2 datafile=data/data2.txt lastobs=2500 firstpass=1 lastpass=3 ftol=1.000000e-08 stepm=24 ncovcol=2 nqv=0 ntv=0 nqtv=0 nlstate=2 ndeath=1 maxwav=3 mle=0 weight=1 model=1+age+V2 #Number of iterations & function calls = 22 & 4801, -2 Log likelihood = 6655.925527459551 # Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ... 12 -8.1577280 0.0846535 0.2682173 13 -8.1406784 0.0766712 0.4032861 21 2.3162904 -0.0490708 -0.4639752 23 -8.0890172 0.0872846 0.1456872 # Scales (for hessian or gradient estimation) 12 1.00000e-04 1.00000e-06 1.00000e-03 13 1.00000e-04 1.00000e-06 1.00000e-03 21 1.00000e-04 1.00000e-05 2.00000e-03 23 1.00000e-04 1.00000e-06 1.00000e-03 # Covariance matrix # 121 Var(a12) # 122 Cov(b12,a12) Var(b12) # ... # 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23) #121 Var(a12) #122 Cov(b12,a12) Var(b12) #123 Cov(c12,a12) Cov(c12,b12) Var(c12) #131 Cov(a13,a12) Cov(a13,b12) Cov(a13,c12) Var(a13) #132 Cov(b13,a12) Cov(b13,b12) Cov(b13,c12) Cov(b13,a13) Var(b13) #133 Cov(c13,a12) Cov(c13,b12) Cov(c13,c12) Cov(c13,a13) Cov(c13,b13) Var(c13) #211 Cov(a21,a12) Cov(a21,b12) Cov(a21,c12) Cov(a21,a13) Cov(a21,b13) Cov(a21,c13) Var(a21) #212 Cov(b21,a12) Cov(b21,b12) Cov(b21,c12) Cov(b21,a13) Cov(b21,b13) Cov(b21,c13) Cov(b21,a21) Var(b21) #213 Cov(c21,a12) Cov(c21,b12) Cov(c21,c12) Cov(c21,a13) Cov(c21,b13) Cov(c21,c13) Cov(c21,a21) Cov(c21,b21) Var(c21) #231 Cov(a23,a12) Cov(a23,b12) Cov(a23,c12) Cov(a23,a13) Cov(a23,b13) Cov(a23,c13) Cov(a23,a21) Cov(a23,b21) Cov(a23,c21) Var(a23) #232 Cov(b23,a12) Cov(b23,b12) Cov(b23,c12) Cov(b23,a13) Cov(b23,b13) Cov(b23,c13) Cov(b23,a21) Cov(b23,b21) Cov(b23,c21) Cov(b23,a23) Var(b23) #233 Cov(c23,a12) Cov(c23,b12) Cov(c23,c12) Cov(c23,a13) Cov(c23,b13) Cov(c23,c13) Cov(c23,a21) Cov(c23,b21) Cov(c23,c21) Cov(c23,a23) Cov(c23,b23) Var(c23) 121 5.2959012e-01 122 -7.07858e-03 9.5506737e-05 123 -1.37897e-02 1.20132e-04 2.5560415e-02 131 1.66386e-04 1.53840e-05 -6.15693e-04 4.6548251e-01 132 -7.26931e-06 -1.61445e-07 9.18697e-06 -6.27192e-03 8.5443301e-05 133 -2.43848e-03 3.34900e-05 -1.63012e-03 -1.26786e-02 1.04201e-04 2.4644044e-02 211 3.73573e-01 -5.08773e-03 -7.20863e-03 1.04676e-01 -1.44053e-03 -3.09481e-03 1.5050996e+00 212 -5.07513e-03 6.97985e-05 4.95680e-05 -1.45283e-03 2.01562e-05 3.04220e-05 -2.05192e-02 2.8250962e-04 213 -8.71254e-03 6.97064e-05 1.53747e-02 -1.17916e-03 4.06754e-06 3.36525e-03 -2.75739e-02 1.76607e-04 7.2786983e-02 231 1.11266e-01 -1.45314e-03 3.29292e-04 -8.96843e-02 1.12795e-03 6.77602e-04 1.90889e-01 -2.55575e-03 -4.46745e-03 6.1099544e-01 232 -1.47084e-03 1.95058e-05 -2.00332e-05 1.18551e-03 -1.52576e-05 1.02095e-05 -2.59991e-03 3.52846e-05 2.94491e-05 -7.51134e-03 9.3624904e-05 233 5.80299e-04 -2.77530e-05 7.85860e-03 1.90490e-03 -2.67154e-06 -8.21968e-03 1.33044e-03 -5.06007e-05 9.50921e-03 -1.85044e-02 1.30366e-04 3.5699416e-02 # agemin agemax for life expectancy, bage fage (if mle==0 ie no data nor Max likelihood). # agemin agemax for life expectancy, bage fage (if mle==0 ie no data nor Max likelihood). agemin=60 agemax=95 bage=55 fage=95 estepm=24 ftolpl=6.000000e-05 # Observed prevalence period begin-prev-date=1/1/2000 end-prev-date=12/12/2006 mov_average=0 # Health expectancies computed from stable (period) prevalence (pop_based=0) or population based (1) pop_based=1 # Prevalence forecasting prevforecast=1 yearsfproj=10.000000 mobil_average=0 result: V2=0 result: V2=1