A standard analysis of prostate cancer biochemical failure data is done by conducting two approaches in which risk factors or covariates are measured. Cox regression and discrete-time survival models were compared under different attributes: sample size, time periods, and parameters in the model. The person-period data was reconstructed when examining the same data in discrete-time survival model. Twenty-four numerical examples covering a variety of sample sizes, time periods, and number of parameters displayed the closeness of Cox regression and discrete-time survival methods in situations typical of the cancer study.
|Commitee:||Castronova, Frank, Piliawsky, Monti, Stevens, Craig|
|School:||Wayne State University|
|Department:||Educational Evaluation and Research|
|School Location:||United States -- Michigan|
|Source:||DAI-A 77/12(E), Dissertation Abstracts International|
|Subjects:||Educational tests & measurements, Education|
|Keywords:||Comparison, Cox regression, Discrete-time survival, Prostate cancer|
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