File:  [Local Repository] / imach / html / doc / biaspar-cov.htm
Revision 1.5: download - view: text, annotated - select for diffs
Tue Aug 18 16:43:19 2015 UTC (8 years, 10 months ago) by brouard
Branches: MAIN
CVS tags: HEAD
*** empty log message ***

    1: <html><head>
    2: <title>IMaCh Cov biaspar-cov.htm</title></head>
    3:  <body><font size="2">Imach version 0.98q5, August 2015,INED-EUROREVES-Institut de longevite-Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research 25293121), Intel Software 2015 <br> $Revision: 1.5 $ $Date: 2015/08/18 16:43:19 $</font> <hr size="2" color="#EC5E5E"> 
    4: Title=1st_example <br>Datafile=data1.txt Firstpass=1 Lastpass=4 Stepm=1 Weight=0 Model=<br>
    5: 
    6: <h4>Matrix of variance-covariance of pairs of step probabilities</h4>
    7:   file biaspar-cov.htm<br>
    8: 
    9: Ellipsoids of confidence centered on point (p<inf>ij</inf>, p<inf>kl</inf>) are estimatedand drawn. It helps understanding how is the covariance between two incidences. They are expressed in year<sup>-1</sup> in order to be less dependent of stepm.<br>
   10: 
   11: <br> Contour plot corresponding to x'cov<sup>-1</sup>x = 4 (where x is the column vector (pij,pkl)) are drawn. It can be understood this way: if pij and pkl where uncorrelated the (2x2) matrix of covariance would have been (1/(var pij), 0 , 0, 1/(var pkl)), and the confidence interval would be 2 standard deviations wide on each axis. <br> Now, if both incidences are correlated (usual case) we diagonalised the inverse of the covariance matrix and made the appropriate rotation to look at the uncorrelated principal directions.<br>To be simple, these graphs help to understand the significativity of each parameter in relation to a second other one.<br> 
   12: 
   13: <br>Ellipsoids of confidence cov(p13,p12) expressed in year<sup>-1</sup> :<a href="biaspar/varpijgrbiaspar113-12.png">biaspar/varpijgrbiaspar113-12.png</A>, 
   14: <br><img src="biaspar/varpijgrbiaspar113-12.png"> 
   15: <br> Correlation at age 65 (-0.338), 70 (-0.360), 75 (-0.404), 80 (-0.456), 85 (-0.418), 90 (-0.359), 95 (-0.341),
   16: <br>Ellipsoids of confidence cov(p21,p12) expressed in year<sup>-1</sup> :<a href="biaspar/varpijgrbiaspar121-12.png">biaspar/varpijgrbiaspar121-12.png</A>, 
   17: <br><img src="biaspar/varpijgrbiaspar121-12.png"> 
   18: <br> Correlation at age 65 (0.333), 70 (0.332), 75 (0.326), 80 (0.304), 85 (0.276), 90 (0.289), 95 (0.302),
   19: <br>Ellipsoids of confidence cov(p23,p12) expressed in year<sup>-1</sup> :<a href="biaspar/varpijgrbiaspar123-12.png">biaspar/varpijgrbiaspar123-12.png</A>, 
   20: <br><img src="biaspar/varpijgrbiaspar123-12.png"> 
   21: <br> Correlation at age 65 (0.364), 70 (0.388), 75 (0.423), 80 (0.449), 85 (0.356), 90 (0.255), 95 (0.238),
   22: <br>Ellipsoids of confidence cov(p21,p13) expressed in year<sup>-1</sup> :<a href="biaspar/varpijgrbiaspar121-13.png">biaspar/varpijgrbiaspar121-13.png</A>, 
   23: <br><img src="biaspar/varpijgrbiaspar121-13.png"> 
   24: <br> Correlation at age 65 (0.047), 70 (0.037), 75 (0.024), 80 (0.024), 85 (0.078), 90 (0.100), 95 (0.097),
   25: <br>Ellipsoids of confidence cov(p23,p13) expressed in year<sup>-1</sup> :<a href="biaspar/varpijgrbiaspar123-13.png">biaspar/varpijgrbiaspar123-13.png</A>, 
   26: <br><img src="biaspar/varpijgrbiaspar123-13.png"> 
   27: <br> Correlation at age 65 (-0.409), 70 (-0.453), 75 (-0.528), 80 (-0.585), 85 (-0.513), 90 (-0.434), 95 (-0.363),
   28: <br>Ellipsoids of confidence cov(p23,p21) expressed in year<sup>-1</sup> :<a href="biaspar/varpijgrbiaspar123-21.png">biaspar/varpijgrbiaspar123-21.png</A>, 
   29: <br><img src="biaspar/varpijgrbiaspar123-21.png"> 
   30: <br> Correlation at age 65 (-0.015), 70 (-0.013), 75 (-0.014), 80 (-0.029), 85 (-0.061), 90 (-0.062), 95 (-0.040),<br>Local time at start Tue Aug 18 18:20:44 2015
   31: <br>Local time at end   Tue Aug 18 18:26:33 2015
   32: <br>
   33: </body></html>

FreeBSD-CVSweb <freebsd-cvsweb@FreeBSD.org>