Diff for /imach/html/doc/imach.htm between versions 1.5 and 1.6

version 1.5, 2005/06/10 08:54:06 version 1.6, 2005/06/15 13:41:00
Line 12  IMaCh</FONT></H1> Line 12  IMaCh</FONT></H1>
 Program using Interpolation of Markov Chains)</FONT></H1>  Program using Interpolation of Markov Chains)</FONT></H1>
 <P align=center>&nbsp;</P>  <P align=center>&nbsp;</P>
 <P align=center><A href="http://www.ined.fr/"><IMG border=0 height=76  <P align=center><A href="http://www.ined.fr/"><IMG border=0 height=76
 src="Computing Health Expectancies using IMaCh_fichiers/logo-ined.gif"  src="logo-ined.gif"
 width=151></A><IMG height=75  width=151></A><IMG height=75
 src="Computing Health Expectancies using IMaCh_fichiers/euroreves2.gif"  src="euroreves2.gif"
 width=151></P>  width=151></P>
 <H3 align=center><A href="http://www.ined.fr/"><FONT  <H3 align=center><A href="http://www.ined.fr/"><FONT
 color=#00006a>INED</FONT></A><FONT color=#00006a> and </FONT><A  color=#00006a>INED</FONT></A><FONT color=#00006a> and </FONT><A
Line 44  color=#00006a><I>lievre@ined.fr</I></FON Line 44  color=#00006a><I>lievre@ined.fr</I></FON
 <UL>  <UL>
   <LI><A    <LI><A
   href="http://euroreves.ined.fr/imach/doc/imach.htm#intro">Introduction</A>    href="http://euroreves.ined.fr/imach/doc/imach.htm#intro">Introduction</A>
   <LI><A href="http://euroreves.ined.fr/imach/doc/imach.htm#data">On what kind    <LI><A href="http://euroreves.ined.fr/imach/doc/imach.htm#data">What kind
   of data can it be used?</A>    of data can is required?</A>
   <LI><A href="http://euroreves.ined.fr/imach/doc/imach.htm#datafile">The data    <LI><A href="http://euroreves.ined.fr/imach/doc/imach.htm#datafile">The data
   file</A>    file</A>
   <LI><A href="http://euroreves.ined.fr/imach/doc/imach.htm#biaspar">The    <LI><A href="http://euroreves.ined.fr/imach/doc/imach.htm#biaspar">The
Line 683  href="http://euroreves.ined.fr/imach/doc Line 683  href="http://euroreves.ined.fr/imach/doc
 <P>By substitution of these parameters in the regression model, we obtain the  <P>By substitution of these parameters in the regression model, we obtain the
 elementary transition probabilities:</P>  elementary transition probabilities:</P>
 <P><IMG height=300  <P><IMG height=300
 src="Computing Health Expectancies using IMaCh_fichiers/pebiaspar11.png"  src="biaspar/pebiaspar11.png"
 width=400></P>  width=400></P>
 <H5><FONT color=#ec5e5e size=3><B>- Transition probabilities</B></FONT><B>:  <H5><FONT color=#ec5e5e size=3><B>- Transition probabilities</B></FONT><B>:
 </B><A  </B><A
Line 754  living in institutions we would have con Line 754  living in institutions we would have con
 disability will increase in the future (see the main publication if  disability will increase in the future (see the main publication if
 you are interested in real data and results which are opposite).</P>  you are interested in real data and results which are opposite).</P>
 <P><IMG height=300  <P><IMG height=300
 src="Computing Health Expectancies using IMaCh_fichiers/vbiaspar21.png"  src="biaspar/vbiaspar21.png"
 width=400></P>  width=400></P>
 <H5><FONT color=#ec5e5e size=3><B>-Convergence to the period prevalence of  <H5><FONT color=#ec5e5e size=3><B>-Convergence to the period prevalence of
 disability</B></FONT><B>: </B><A  disability</B></FONT><B>: </B><A
 href="Computing Health Expectancies using IMaCh_fichiers/pbiaspar11.png"><B>biaspar/pbiaspar11.png</B></A><BR><IMG  href="biaspar/pbiaspar11.png"><B>biaspar/pbiaspar11.png</B></A><BR><IMG
 height=300  height=300
 src="Computing Health Expectancies using IMaCh_fichiers/pbiaspar11.png"  src="biaspar/pbiaspar11.png"
 width=400> </H5>  width=400> </H5>
 <P>This graph plots the conditional transition probabilities from an initial  <P>This graph plots the conditional transition probabilities from an initial
 state (1=healthy in red at the bottom, or 2=disabled in green on the top) at age  state (1=healthy in red at the bottom, or 2=disabled in green on the top) at age
Line 791  href="http://euroreves.ined.fr/imach/doc Line 791  href="http://euroreves.ined.fr/imach/doc
  81    5.9775 (0.0873)    3.3484 (0.0933)    2.0222 (0.1230)    4.4520 (0.1320)   81    5.9775 (0.0873)    3.3484 (0.0933)    2.0222 (0.1230)    4.4520 (0.1320)
 </PRE><PRE>For example  70  11.0180 (0.1277) 3.1950 (0.3635) 4.6500 (0.0871)  4.4807 (0.2187)  </PRE><PRE>For example  70  11.0180 (0.1277) 3.1950 (0.3635) 4.6500 (0.0871)  4.4807 (0.2187)
 means  means
 e11=11.0180 e12=3.1950 e21=4.6500 e22=4.4807 </PRE><PRE><IMG height=300 src="Computing Health Expectancies using IMaCh_fichiers/expbiaspar21.png" width=400><IMG height=300 src="Computing Health Expectancies using IMaCh_fichiers/expbiaspar11.png" width=400></PRE>  e11=11.0180 e12=3.1950 e21=4.6500 e22=4.4807 </PRE><PRE><IMG height=300 src="biaspar/expbiaspar21.png" width=400><IMG height=300 src="biaspar/expbiaspar11.png" width=400></PRE>
 <P>For example, life expectancy of a healthy individual at age 70 is 11.0 in the  <P>For example, life expectancy of a healthy individual at age 70 is 11.0 in the
 healthy state and 3.2 in the disability state (total of 14.2 years). If he was  healthy state and 3.2 in the disability state (total of 14.2 years). If he was
 disabled at age 70, his life expectancy will be shorter, 4.65 years in the  disabled at age 70, his life expectancy will be shorter, 4.65 years in the
Line 829  weighted mean of e11 and e21). e.2=3.30 Line 829  weighted mean of e11 and e21). e.2=3.30
 be spent in the disability state.</P>  be spent in the disability state.</P>
 <H5><FONT color=#ec5e5e size=3><B>-Total life expectancy by age and health  <H5><FONT color=#ec5e5e size=3><B>-Total life expectancy by age and health
 expectancies in states (1=healthy) and (2=disable)</B></FONT><B>: </B><A  expectancies in states (1=healthy) and (2=disable)</B></FONT><B>: </B><A
 href="Computing Health Expectancies using IMaCh_fichiers/ebiaspar1.png"><B>biaspar/ebiaspar1.png</B></A></H5>  href="biaspar/ebiaspar1.png"><B>biaspar/ebiaspar1.png</B></A></H5>
 <P>This figure represents the health expectancies and the total life expectancy  <P>This figure represents the health expectancies and the total life expectancy
 with a confidence interval (dashed line). </P><PRE>        <IMG height=300 src="Computing Health Expectancies using IMaCh_fichiers/ebiaspar1.png" width=400></PRE>  with a confidence interval (dashed line). </P><PRE>        <IMG height=300 src="biaspar/ebiaspar1.png" width=400></PRE>
 <P>Standard deviations (obtained from the information matrix of the model) of  <P>Standard deviations (obtained from the information matrix of the model) of
 these quantities are very useful. Cross-longitudinal surveys are costly and do  these quantities are very useful. Cross-longitudinal surveys are costly and do
 not involve huge samples, generally a few thousands; therefore it is very  not involve huge samples, generally a few thousands; therefore it is very

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