A non-parametric test for composite hypotheses in survival analysis
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For survival data with several concomitant (regressor) variables a large sample non-parametric procedure is presented which provides significance tests of hypotheses about a subset of the concomitant variables. This non-iterative procedure resembles linear model methodology in simplicity and form. The method is useful to eliminate unimportant concomitant variables prior to estimation of model parameters.
KeywordsFailure Time Noncentrality Parameter Concomitant Variable Composite Hypothesis Linear Rank
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