Multiple comparisons for relative risk regression: extension of the kappa-ratio method.
We propose a kappa-ratio method for multiple comparisons among disjoint groups in survival analysis, specifically among relative risk estimates from a proportional hazards regression analysis. The new method relates the magnitude of critical values to an overall measure of group heterogeneity. That is, large critical values result from small values of a chi-square statistic for testing between-groups homogeneity. Conversely, large values of the overall statistic lead to small critical values for individual comparisons, even if there are many groups. The adaptivity of the kappa-ratio method contrasts sharply with the conservatism of competing methods.
Dixon
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Department of Biomathematics, University of Texas M. D. Anderson Hospital and Tumor Institute, Houston 77030.
Divine
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D000704:Analysis of Variance; D006801:Humans; D008175:Lung Neoplasms / Q000401:mortality; D012044:Regression Analysis; D012306:Risk