On Wed, 8 Sep 2004 petertait at sympatico.ca wrote:
> Hi All, I am in the middle of doing an analysis of a Case-Cohort design.
> I had three questions about the analysis:
I would suggest Mayo Clinic tech report #62
http://www.mayo.edu/hsr/techrpt.html
62: Computing the Cox Model for Case Cohort Designs
Prentice proposed a case-cohort design as an efficient subsampling
mechanism for survival studies. Several other authors have expanded on
these ideas to create a family of related sampling plans, along with
estimators for the covariate effects. We describe how to obtain the
proposed parameter estimates and their variance estimates using standard
software packages, with SAS and S-Plus as particular examples.
-thomas
>
> a) Does any one know of some public code for developing the patient risk
sets (indexed by failure time) or is there a better way to organize the data?
>
> b) I was planning to use the Barlow weighting method. Has this or any other
weighting method (Prentice, Self-Prentice) been implemented in R?
>
> c) Is matching a good thing to do or can the variables that would be used
for matching just be adjusted for in the cox regression (is there a reference
for this because I can?t find one)? If matching is a good thing to do are there
any R packages that contain matching functions?
>
> Thanks for your help.
> Peter Tait
>
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Thomas Lumley Assoc. Professor, Biostatistics
tlumley at u.washington.edu University of Washington, Seattle