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Problem of COX model with time dependent covariate

2 messages · JiangGZ, David Winsemius

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On Dec 26, 2011, at 3:02 AM, JiangGZ wrote:

            
The usual way to represent time dependent covariates is to set up  
records with start and stop time and use the Surv(time, time2, event)  
usage. This is clearly described in the help page and there is  
vignette describing time-dependent covariate methods in the package  
documentation.
How could we possibly know how _you_ calculated T_COV? (And this is  
very definitely the wrong mailing list for that question.)

The description in the IBM/SPSS documentation says using the time  
variable on the RHS is used for testing non-proportionality of hazards  
rather than for investigating the association of a covariate with an  
outcome:

http://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=3&ved=0CDcQFjAC&url=http%3A%2F%2Fwww.unileon.es%2Fficheros%2Fservicios%2Finformatica%2Fspss%2Fenglish%2FIBM-SPSS_advanced_statistics.pdf&ei=P2j4TtbDMITi0QG6k-2DAg&usg=AFQjCNH_4hFxKUdl-Ie1VDxEFXRL35nIqw

The SPSS documentation appears designed to lead the naive user into an  
incorrect model formulation, since the only example of use with its  
dialog box shows the user setting up the test for non-proportionality.  
Given that you proposed using a time variable on the RHS in an R  
formula, I am guessing you also do not know how to properly use SPSS  
for the purposes you intend.