Extension of k-ratio methods to rank-based analyses
Abstract
An extension of k-ratio multiple comparison methods to rank-based analyses is described. The new method is analogous to the Duncan-Godbold approximate k-ratio procedure for unequal sample sizes or correlated means. The close parallel of the new methods to the Duncan-Godbold approach is shown by demonstrating that they are based upon different parameterizations as starting points. A semi-parametric basis for the new methods is shown by starting from the Cox proportional hazards model, using Wald statistics. From there the log-rank and Gehan-Breslow-Wilcoxon methods may be seen as score statistic based methods. Simulations and analysis of a published data set are used to show the performance of the new methods.
Subject Area
Biostatistics
Recommended Citation
Divine, George William, "Extension of k-ratio methods to rank-based analyses" (1987). Texas Medical Center Dissertations (via ProQuest). AAI8914282.
https://digitalcommons.library.tmc.edu/dissertations/AAI8914282