Statistical Inference for Two-Sample and Regression Models with Heterogeneity Effect: A Collected-Sample Perspective
作者： Hong-Dar Isaac Wu
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摘要: Heterogeneity effect is an important issue in the analysis of clinical trials, survival data, and epidemiological cohort studies. This article reviews works inference for heterogeneity from a series by Hsieh who used empirical process approach, relevant Bagdonavicius, Nikulin, coworkers. includes two-sample models Cox-type relative risk regression models. property over covariate space as well non-constancy are discussed several In analysis, log-relative function time covariates plotted to present Hsieh’s Bagdonavicius Nikulin’s hazards
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