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Imach version 0.71a, March 2002, INED-EUROREVES pathtot=biaspar.imach, path=E:\usr\local\src\imach\Copie4doc\, optionfile=biaspar.imach optionfilext=imach optionfilefiname=biaspar #Imach version 0.71, February 2002, INED-EUROREVES title=1st_example datafile=data1.txt lastobs=8600 firstpass=1 lastpass=4 ftol=1.000000e-008 stepm=1 ncov=2 nlstate=2 ndeath=1 maxwav=4 mle=0 weight=0 model=. # Parameters 11 -12.290174 0.092161 12 -9.155590 0.046627 21 -2.629849 -0.022030 22 -7.958519 0.042614 # Scales 11 1.000000e-004 1.000000e-006 12 1.000000e-004 1.000000e-006 21 1.000000e-004 1.000000e-006 22 1.000000e-004 1.000000e-006 # Covariance 1 1.47453e-001 2 -1.79081e-003 2.18676e-005 3 -1.95657e-002 2.45327e-004 2.09715e-001 4 2.44596e-004 -3.08538e-006 -2.61974e-003 3.28937e-005 5 1.61088e-001 -1.92537e-003 5.49425e-003 -6.92721e-005 9.19832e-001 6 -1.91395e-003 2.29884e-005 -7.08865e-005 8.99425e-007 -1.08729e-002 1.29229e-004 7 2.75441e-002 -3.14449e-004 -5.54491e-002 6.49099e-004 1.43217e-003 -2.18301e-005 4.48405e-001 8 -3.22668e-004 3.71876e-006 6.69148e-004 -7.91985e-006 -2.12298e-005 3.04177e-007 -5.10993e-003 5.85631e-005 Total number of individuals= 8270, Agemin = 70.00, Agemax= 102.25 Warning, no any valid information for:4298 line=4298 Delay (in months) between two waves Min=1 Max=60 Mean=23.840766 # Parameters 12 -12.290174 0.092161 13 -9.155590 0.046627 21 -2.629849 -0.022030 23 -7.958519 0.042614 # Scales 12 1.00000e-004 1.00000e-006 13 1.00000e-004 1.00000e-006 21 1.00000e-004 1.00000e-006 23 1.00000e-004 1.00000e-006 # Covariance 1 1.47453e-001 2 -1.79081e-003 2.18676e-005 3 -1.95657e-002 2.45327e-004 2.09715e-001 4 2.44596e-004 -3.08538e-006 -2.61974e-003 3.28937e-005 5 1.61088e-001 -1.92537e-003 5.49425e-003 -6.92721e-005 9.19832e-001 6 -1.91395e-003 2.29884e-005 -7.08865e-005 8.99425e-007 -1.08729e-002 1.29229e-004 7 2.75441e-002 -3.14449e-004 -5.54491e-002 6.49099e-004 1.43217e-003 -2.18301e-005 4.48405e-001 8 -3.22668e-004 3.71876e-006 6.69148e-004 -7.91985e-006 -2.12298e-005 3.04177e-007 -5.10993e-003 5.85631e-005 # agemin agemax for life expectancy, bage fage (if mle==0 ie no data nor Max likelihood). Age 70 1.=665 loss[1]=5.1% 2.=0 loss[2]=NaNQ% 1.=631 prev[1]=100.0% 2.=0 prev[2]=0.0% 1-1=34 11=563 12=33 13=35 33=3 Age 71 1.=663 loss[1]=5.7% 2.=2 loss[2]=0.0% 1.=625 prev[1]=99.7% 2.=2 prev[2]=0.3% 1-1=38 11=530 12=47 13=48 21=1 22=1 3-1=1 33=16 Age 72 1.=1181 loss[1]=5.6% 2.=35 loss[2]=5.7% 1.=1115 prev[1]=97.1% 2.=33 prev[2]=2.9% 1-1=66 11=969 12=70 13=76 2-1=2 21=9 22=18 23=6 30=9 33=42 Age 73 1.=1110 loss[1]=5.9% 2.=47 loss[2]=8.5% 1.=1055 prev[1]=96.1% 2.=43 prev[2]=3.9% 1-1=55 10=11 11=897 12=69 13=78 2-1=4 21=11 22=26 23=6 3-1=4 30=8 33=39 Age 74 1.=1124 loss[1]=10.0% 2.=53 loss[2]=11.3% 1.=1085 prev[1]=95.5% 2.=51 prev[2]=4.5% 1-1=39 10=73 11=853 12=83 13=76 2-1=2 20=4 21=15 22=23 23=9 3-1=2 30=19 33=44 Age 75 1.=1056 loss[1]=11.7% 2.=44 loss[2]=27.3% 1.=996 prev[1]=96.0% 2.=41 prev[2]=4.0% 1-1=60 10=64 11=775 12=74 13=83 2-1=3 20=9 21=2 22=21 23=9 3-1=2 30=12 33=40 Age 76 1.=1001 loss[1]=10.9% 2.=70 loss[2]=18.6% 1.=962 prev[1]=93.4% 2.=68 prev[2]=6.6% 1-1=39 10=70 11=717 12=85 13=90 2-1=2 20=11 21=10 22=32 23=15 3-1=1 30=9 33=45 Age 77 1.=911 loss[1]=12.1% 2.=62 loss[2]=22.6% 1.=862 prev[1]=93.5% 2.=60 prev[2]=6.5% 1-1=49 10=61 11=613 12=103 13=85 2-1=2 20=12 21=8 22=27 23=13 3-1=1 30=18 33=52 Age 78 1.=852 loss[1]=11.7% 2.=64 loss[2]=23.4% 1.=808 prev[1]=93.1% 2.=60 prev[2]=6.9% 1-1=44 10=56 11=593 12=88 13=71 2-1=4 20=11 21=10 22=29 23=10 3-1=3 30=12 33=46 Age 79 1.=746 loss[1]=12.3% 2.=82 loss[2]=12.2% 1.=702 prev[1]=89.8% 2.=80 prev[2]=10.2% 1-1=44 10=48 11=501 12=82 13=71 2-1=2 20=8 21=13 22=44 23=15 3-1=2 30=13 33=45 Age 80 1.=719 loss[1]=11.0% 2.=73 loss[2]=17.8% 1.=692 prev[1]=90.8% 2.=70 prev[2]=9.2% 1-1=27 10=52 11=473 12=105 13=62 2-1=3 20=10 21=9 22=33 23=18 3-1=3 30=10 33=32 Age 81 1.=643 loss[1]=12.1% 2.=79 loss[2]=19.0% 1.=610 prev[1]=88.9% 2.=76 prev[2]=11.1% 1-1=33 10=45 11=423 12=69 13=73 2-1=3 20=12 21=12 22=40 23=12 3-1=3 30=14 33=36 Age 82 1.=589 GIF87a,æÿÿÿ@@@ÿÀ€ÿÀÿÀÿ@À@@ÿ€ À€À`€€€@€€À`ÀÀÿ € 0`€@@@@€€€`€`€``€`€Àÿ`@À€` À`À`À €€€` €```ÿÿ @@ @€`€ `€``€€€€@€€€ ÐàÀ À`€ÀàÀ`ÀÀ€À€`ÿ@ÿ@@€Àÿÿ€`ÿ€€À ÀÀÀÀÿÀÿÿÿÿ€ ÿ€ÿÀÀ ÿ``ÿ€ÿ €àà àà ÿ ÀÀÀ ÿ€ € €@€@ €@€€`À€`ÿ€€ €ÿÀ`€ÀÀÿ€@ÿ @ÿ `ÿ pÿÀ ÿÀÀÿÿÿÿ€ÿÿÀ,,ÿ€‚ƒ„…†‡ˆ‰Š‹ŒŽ‘’“”•–—˜™š›œžŸ ¡¢£¤¥¦§¨©ª«¬®¯°±²³´µ¶·¸¹º»¼½¾¿ÀÁÂÃÄÅÆÇÈÉÊËÌÍÎÏÐÑÒÓÔÄÕÕÕÕºÕÕÕÕ¹ÕÕÕÕ»‰€‚ƒ€‚ƒ„…†‡ˆ‰Š‹ŒŽ‘’“”•–—˜™ƒ€‚ƒ„…†‡ˆ‰Š‰†€‚ƒ€‚ƒ„…†‡ˆ‰ˆŠŠŠŠŠŠ†ŠŠŠŠŠŠ…ŠŠŠŠŠŠ†ŠŠŠŠŠŠ†ŠŠŠŠŠ…‰ŠƒŠŠŠŠŠŠŠŠŠŠŠ†ŠŠŠŠŠŠ…ŠŠŠŠŠŠ†ŠŠŠŠŠŠÿ†ŠŠŠŠŠ…‰Š…ŠŠŠŠŠŠŠŠŠŠŠ†ŠŠŠŠŠŠ…"&*.,.....,...& "&*.26:>BFJNRVZ^b>df>Hdfffffffffff:df>Ldffff> , dfR dfbdf>Tdffff2 , dff dfbdf>\dffff. ÿ "&(*****(*(************ ( $,4<DLTTX\$$ X\\\\\\\\\\\(0(8(ÿ$,4<DLPTTTTT,PTD$ PTTTTTTTTTTTT 0(8(0((PTTTTPTTTTT,PTT PTTTTTTT¤H‘"E… ÿ"&(*****(**(*********** $ (***&(*****" "&*.26:>B: DFFFFFDFF:DF&"&*.26:>B* $ DFFFFFDFF:DF>ÿ "&*.26:>BFJNRVZ*\^N\^^\^^^^^^^"\^R\^N\^^ \^^^^^^J "&(*****(****** (**************** (****(*****(******(**************** (****(****RTP €à a¡á!b¢âb"##########ÿ###£áÀàÀÀàÀà@âÀá@"à€à a¡á¡ €à !@ €à a¡á!b¢¢bÀâââââ¢"Áââââââââââââââ"âÀÀÀ@á€à€âÀáÀâââ¢aÀââââ¢bÀââââââ"Á! à ! €à a¡á!b¢â"c£ã#d$á@á€àÀâÀá€¤¤c€¤¤äb€¤¤¤ä! à €à ! à €à a¡á!b¢â"c£ã#¤ã€àÀàÀÀÀÀáÀàÀà@d$d@dd¤c@ddddd$AdddddddäáÀÀáÀÀ€à€à@âÀÀÀàÀÀÿ@däc@dd¤c@dddddd!Adddddddddddd$a@dd¤c@ddddd¤! €à a¡á!b¢â"c£ã#d¤ä$¥c@ee¥àÀÀ@eeee¥ Aeeeeeeeeeec@ee¥`€àÀÀÀ@eee%%Aeeeeeeeee%c@ee¥`€áÀÀÀ@eeee$Aee# A¥$Ae$Aeeed@ee¥`€âÀÀÀ@eee¥# @ÁAÂBÃCÄÄC‚AEEÅDEEÅDEEEEEEEÅEEEEEÅÂEÂEEEEEEEEECEEEEE‚A‚Aÿ‚AAA‚AA‚A‚CA‚AA‚AABB@@ÁAÂBÃCÄDÅEEEÅÁÅ€€ÄEÄEEEEEEEEEBECEEEA‚AA‚A‚AA‚A‚AA‚CAA‚A‚A‚B‚A‚A‚AA‚A‚AÅA@ÁAÂBÃCA@ÁAB€€ÂÂÂÂÂÂÂBÁ€€ÂÁ€Á€BÁ€ÂÂÂB€@ÁAÂBÃCÄDÅEÆF‚EÿA‚ÆFB‚A‚AA‚A@AA@AA‚A@AA@ÁA‚AB@AA€A€AA@AA@AA@ÁAÂBÃCÄÄÄEEEE€€Á€Ã€Á€ÃEÅÂEEEEEEEÅD‚CDEED‚A‚ABA‚BCA‚B‚A‚C‚A‚BCA‚A‚A‚A‚B‚A‚BEEEEEÄEEEE€€Á€Ã€Á€C€À€@ÁAÂBCÁÃÃÃÃÃÃÃÃÃÃÃÃAA‚ÿCC‚ÃÃÃB‚AA‚A‚BCA‚BA‚CA‚BCAA‚A‚A‚B‚A‚A‚ÃÃÃÃÃÃCBÀÁA@ÁAÂBÃCÄÂ€ÁÄ€€€€ÃBÄÄÃÄÄÄÄÄÄÄÄÄA‚ÄD‚ÄÄCA‚A‚AA‚CB‚A‚CACBBA‚AA‚AA‚A‚ÄÄÄÄÄD€€ÄÄÄD… "&*.26686ÿ8::8:::::::8:: ( 8*8::::::8 "&$&&&&&&&&&&&$&&&$$" $&$&&&&&&&&&&"&*.26:>BFHJJ.H HHJJJJ>"&*.26:>BFHJJ.H HHJJJJJFHJJJJJJJ2HJJ.H HÿHJJJJJ:HJJJJJJJ2HJJ.HJ2HJJJJJ2HJJJJJJJ.HJJ. 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"&*,....,....,....,....,.... ,....ÿ,....,.... ,....,.... 8HXhxˆ˜¨0°¸¸¸¸H 0°¸¸¸¸H 0°¸¸¸¸( 0°¸¸¸¸ 0°¸¸¸¸00°¸¸¸¸00°¸¸¸¸(00°¸¸¸¸8p°¸¸¸¸00 8HXhxˆ˜¨0P ¨¨¨¨x0 ¨¨¨¨xP ¨¨¨¨x00 ¨¨¨¨ˆp ¨¨¨¨ÿh00 ¨¨¨¨X0P ¨¨¨¨¨0 ¨¨¨¨¨P ¨¨¨¨hP ¨¨¨¨ˆ@0 8HXhxˆ˜¨0 °¸¸¸¸00°¸¸¸¸H0°¸¸¸¸X 0°¸¸¸¸`°¸¸¸¸HP°¸¸¸¸8@°¸¸¸¸80°¸¸¸¸(P°¸¸¸¸8@ 8HXhxˆ˜¨¸ÈØèø)9IYiy‰™©¹ÉÙéù *:JZjzŠšªºÊÚêú +;K[k{‹›«»ËÛëû,<L\lÞ|Œœ¬¼ÌÜìü-=M]m}½MÀÍÍÍí`ÀÍÍÍ]0 0ÀÍÍÍ 0 8HXhxˆ˜¨¸ÈØèø)9IYiy‰™©¹Y (0( 8HXhxˆ˜¨¸ÈØèø)9IYiy‰™©¹Y0 ÀÉÉÉÉÉÉÉÉÉÉÉÉy0PÀÉÉÉÉÉÉÉÉÉÉÉÉy0 0ÀÉÉÉÉÉÉÉÉÉÉÉÉ©0ÀÉÉÉÉÉù;loss[1]=12.1% 2.=78 loss[2]=19.2% 1.=569 prev[1]=88.6% 2.=73 prev[2]=11.4% 1-1=20 10=51 11=362 12=96 13=60 2-1=5 20=10 21=7 22=37 23=19 3-1=3 30=14 33=37 Age 83 1.=537 loss[1]=14.3% 2.=59 loss[2]=16.9% 1.=505 prev[1]=89.5% 2.=59 prev[2]=10.5% 1-1=32 10=45 11=290 12=93 13=77 20=10 21=7 22=29 23=13 3-1=4 30=13 33=44 Age 84 1.=454 loss[1]=11.0% 2.=84 loss[2]=22.6% 1.=433 prev[1]=84.2% 2.=81 prev[2]=15.8% 1-1=21 10=29 11=266 12=78 13=60 2-1=3 20=16 21=9 22=37 23=19 3-1=3 30=5 33=35 Age 85 1.=400 loss[1]=13.3% 2.=75 loss[2]=20.0% 1.=382 prev[1]=84.3% 2.=71 prev[2]=15.7% 1-1=18 10=35 11=216 12=84 13=47 2-1=4 20=11 21=6 22=34 23=20 3-1=1 30=19 33=43 Age 86 1.=357 loss[1]=14.0% 2.=72 loss[2]=23.6% 1.=339 prev[1]=83.1% 2.=69 prev[2]=16.9% 1-1=18 10=32 11=185 12=81 13=41 2-1=3 20=14 21=9 22=30 23=16 3-1=3 30=6 33=36 Age 87 1.=276 loss[1]=12.0% 2.=100 loss[2]=17.0% 1.=265 prev[1]=73.4% 2.=96 prev[2]=26.6% 1-1=11 10=22 11=145 12=57 13=41 2-1=4 20=13 21=11 22=38 23=34 30=7 33=24 Age 88 1.=200 loss[1]=11.5% 2.=107 loss[2]=14.0% 1.=193 prev[1]=66.3% 2.=98 prev[2]=33.7% 1-1=7 10=16 11=117 12=41 13=19 2-1=9 20=6 21=17 22=45 23=30 3-1=2 30=11 33=30 Age 89 1.=155 loss[1]=11.0% 2.=109 loss[2]=11.9% 1.=150 prev[1]=58.6% 2.=106 prev[2]=41.4% 1-1=5 10=12 11=93 12=23 13=22 2-1=3 20=10 21=10 22=52 23=34 3-1=1 30=4 33=19 Age 90 1.=124 loss[1]=8.1% 2.=97 loss[2]=16.5% 1.=120 prev[1]=56.6% 2.=92 prev[2]=43.4% 1-1=4 10=6 11=72 12=22 13=20 2-1=5 20=11 21=11 22=46 23=24 30=9 33=23 Age 91 1.=98 loss[1]=11.2% 2.=75 loss[2]=12.0% 1.=95 prev[1]=57.6% 2.=70 prev[2]=42.4% 1-1=3 10=8 11=50 12=21 13=16 2-1=5 20=4 21=6 22=37 23=23 3-1=3 30=11 33=26 Age 92 1.=74 loss[1]=23.0% 2.=68 loss[2]=7.4% 1.=68 prev[1]=50.4% 2.=67 prev[2]=49.6% 1-1=6 10=11 11=27 12=18 13=12 2-1=1 20=4 21=9 22=30 23=24 30=7 33=16 Age 93 1.=52 loss[1]=9.6% 2.=53 loss[2]=18.9% 1.=49 prev[1]=51.6% 2.=46 prev[2]=48.4% 1-1=3 10=2 11=23 12=14 13=10 2-1=7 20=3 21=6 22=25 23=12 30=8 33=17 Age 94 1.=40 loss[1]=17.5% 2.=49 loss[2]=14.3% 1.=39 prev[1]=44.3% 2.=49 prev[2]=55.7% 1-1=1 10=6 11=16 12=3 13=14 20=7 21=2 22=28 23=12 30=4 33=13 Age 95 1.=22 loss[1]=13.6% 2.=37 loss[2]=8.1% 1.=21 prev[1]=37.5% 2.=35 prev[2]=62.5% 1-1=1 10=2 11=8 12=8 13=3 2-1=2 20=1 21=2 22=19 23=13 3-1=1 30=6 33=12 Age 96 1.=15 loss[1]=33.3% 2.=31 loss[2]=12.9% 1.=14 prev[1]=31.8% 2.=30 prev[2]=68.2% 1-1=1 10=4 11=5 12=2 13=3 2-1=1 20=3 22=15 23=12 3-1=1 30=6 33=7 Age 97 1.=8 loss[1]=0.0% 2.=20 loss[2]=10.0% 1.=8 prev[1]=29.6% 2.=19 prev[2]=70.4% 11=4 12=4 2-1=1 20=1 21=2 22=10 23=6 30=3 33=7 Age 98 1.=2 loss[1]=0.0% 2.=11 loss[2]=0.0% 1.=2 prev[1]=15.4% 2.=11 prev[2]=84.6% 12=2 21=1 22=7 23=3 30=2 33=6 Age 99 1.=2 loss[1]=100.0% 2.=8 loss[2]=12.5% 1.=2 prev[1]=20.0% 2.=8 prev[2]=80.0% 10=2 20=1 21=1 23=6 Age 100 1.=2 loss[1]=0.0% 2.=3 loss[2]=33.3% 1.=2 prev[1]=40.0% 2.=3 prev[2]=60.0% 11=1 12=1 20=1 21=1 23=1 30=1 Age 101 1.=0 loss[1]=NaNQ% 2.=0 loss[2]=NaNQ% 1.=0 prev[1]=NaNQ% 2.=0 prev[2]=NaNQ% Age 102 1.=0 loss[1]=NaNQ% 2.=0 loss[2]=NaNQ% 1.=0 prev[1]=NaNQ% 2.=0 prev[2]=NaNQ% Age 103 1.=0 loss[1]=NaNQ% 2.=0 loss[2]=NaNQ% 1.=0 prev[1]=NaNQ% 2.=0 prev[2]=NaNQ% Age 104 1.=0 loss[1]=NaNQ% 2.=0 loss[2]=NaNQ% 1.=0 prev[1]=NaNQ% 2.=0 prev[2]=NaNQ% -1-1=50 -10=69 -11=513 -12=120 -13=119 Total 1.=14078 loss[1]=10.2% 2.=1747 loss[2]=16.2% 1.=13399 prev[1]=88.9% 2.=1667 prev[2]=11.1% -1-1=50 -10=69 -11=513 -12=120 -13=119 1-1=679 10=763 11=9787 12=1556 13=1293 2-1=80 20=203 21=217 22=813 23=434 3-1=44 30=260 33=835 Computing prevalence limit: result on file 'plrbiaspar.txt' Computing pij: result on file 'pijrbiaspar.txt' Computing forecasting: result on file 'frbiaspar.txt' Computing forecasting: result on file 'poprbiaspar.txt' Computing Total LEs with variances: file 'trbiaspar.txt' Computing Health Expectancies: result on file 'erbiaspar.txt' Computing Variance-covariance of DFLEs: file 'vrbiaspar.txt' Computing Variance-covariance of Prevalence limit: file 'vplrbiaspar.txt' End of Imach Type e to edit output files, c to start again, and q for exiting: