From: Agnès Lièvre <agnes.lievre@education.gouv.fr>
Date: Wed, 15 Jun 2005 13:41:00 +0000 (+0000)
Subject: *** empty log message ***
X-Git-Tag: imach-099s7~561
X-Git-Url: https://henry.ined.fr/git/?a=commitdiff_plain;h=beb077db51a3dbc255c334c8486a35c00b5a90b6;p=.git

*** empty log message ***
---

diff --git a/html/doc/imach.htm b/html/doc/imach.htm
index 2b22678..5f9f602 100644
--- a/html/doc/imach.htm
+++ b/html/doc/imach.htm
@@ -12,9 +12,9 @@ IMaCh</FONT></H1>
 Program using Interpolation of Markov Chains)</FONT></H1>
 <P align=center>&nbsp;</P>
 <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 
-src="Computing Health Expectancies using IMaCh_fichiers/euroreves2.gif" 
+src="euroreves2.gif" 
 width=151></P>
 <H3 align=center><A href="http://www.ined.fr/"><FONT 
 color=#00006a>INED</FONT></A><FONT color=#00006a> and </FONT><A 
@@ -44,8 +44,8 @@ color=#00006a><I>lievre@ined.fr</I></FONT></A><FONT color=#00006a>) </FONT></H4>
 <UL>
   <LI><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 
-  of data can it be used?</A> 
+  <LI><A href="http://euroreves.ined.fr/imach/doc/imach.htm#data">What kind 
+  of data can is required?</A> 
   <LI><A href="http://euroreves.ined.fr/imach/doc/imach.htm#datafile">The data 
   file</A> 
   <LI><A href="http://euroreves.ined.fr/imach/doc/imach.htm#biaspar">The 
@@ -683,7 +683,7 @@ href="http://euroreves.ined.fr/imach/doc/rbiaspar.txt"><B>rbiaspar.imach</B></A>
 <P>By substitution of these parameters in the regression model, we obtain the 
 elementary transition probabilities:</P>
 <P><IMG height=300 
-src="Computing Health Expectancies using IMaCh_fichiers/pebiaspar11.png" 
+src="biaspar/pebiaspar11.png" 
 width=400></P>
 <H5><FONT color=#ec5e5e size=3><B>- Transition probabilities</B></FONT><B>: 
 </B><A 
@@ -754,13 +754,13 @@ living in institutions we would have concluded that the prevalence of
 disability will increase in the future (see the main publication if
 you are interested in real data and results which are opposite).</P>
 <P><IMG height=300 
-src="Computing Health Expectancies using IMaCh_fichiers/vbiaspar21.png" 
+src="biaspar/vbiaspar21.png" 
 width=400></P>
 <H5><FONT color=#ec5e5e size=3><B>-Convergence to the period prevalence of 
 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 
-src="Computing Health Expectancies using IMaCh_fichiers/pbiaspar11.png" 
+src="biaspar/pbiaspar11.png" 
 width=400> </H5>
 <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 
@@ -791,7 +791,7 @@ href="http://euroreves.ined.fr/imach/doc/biaspar/erbiaspar.txt"><B>biaspar/erbia
  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)
 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 
 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 
@@ -829,9 +829,9 @@ weighted mean of e11 and e21). e.2=3.30 is also the life expectancy at age 70 to
 be spent in the disability state.</P>
 <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 
-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 
-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 
 these quantities are very useful. Cross-longitudinal surveys are costly and do 
 not involve huge samples, generally a few thousands; therefore it is very