Abstract
Consider the randomized trial of estrogen for treatment of prostate cancer 87 described in Chapter 8 Let us now develop a model for time until death (of any cause). There are 354 deaths among the 502 patients. To be able to efficiently estimate treatment benefit, to test for differential treatment effect, or to estimate prognosis or absolute treatment benefit for individual patients, we need a multivariable survival model. In this case study we do not make use of data reductions obtained in Chapter 8 but show simpler (partial) approaches to data reduction. We do use the transcan results for imputation.
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References
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Harrell, F.E. (2015). Case Study in Cox Regression. In: Regression Modeling Strategies. Springer Series in Statistics. Springer, Cham. https://doi.org/10.1007/978-3-319-19425-7_21
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DOI: https://doi.org/10.1007/978-3-319-19425-7_21
Publisher Name: Springer, Cham
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