[R] output (p-values) of fastbw in Design package

2009-10-27 Thread North, Bernard V
I am using the validate option in the Design package with the Cox survival 
model.
I am using the bw=T option which, like the fastbw function, performs a backward 
elimination variable selection
The output includes a series of columns (below) giving information on 
eliminated variables.
My question is that I am unsure of the difference between the 2 p-values given 
(the one after Chi-Sq and the one after df)
This may be a gap in my statistics knowledge, hopefully I've not asked too 
silly a question, many thanks in advance

Backwards Step-down - Original Model

 DeletedChi-Sq d.f. P  Residual d.f. P  AIC

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Re: [R] output (p-values) of fastbw in Design package

2009-10-27 Thread Frank E Harrell Jr

North, Bernard V wrote:

I am using the validate option in the Design package with the Cox survival 
model.
I am using the bw=T option which, like the fastbw function, performs a backward 
elimination variable selection
The output includes a series of columns (below) giving information on 
eliminated variables.
My question is that I am unsure of the difference between the 2 p-values given 
(the one after Chi-Sq and the one after df)
This may be a gap in my statistics knowledge, hopefully I've not asked too 
silly a question, many thanks in advance

Backwards Step-down - Original Model

 DeletedChi-Sq d.f. P  Residual d.f. P  AIC


The first chi-sq stat is the individual partial chi-sq for testing the 
deleted variable, adjusted for all variables still in the model.  The 
residual chi-sq test is the simultaneous test for all variables deleted 
up to and including the current one.


Frank



--
Frank E Harrell Jr   Professor and Chair   School of Medicine
 Department of Biostatistics   Vanderbilt University

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