Clinical trials and semiparametric models: An overview

被引：0

作者：

Sen, PK ^{[1
]}

机构：

[1] Univ N Carolina, Chapel Hill, NC 27599 USA

来源：

APPLIED STATISTICAL SCIENCE IV | 1999年 / 4卷

关键词：

auxiliary variables; censoring; competing risk; clinical epidemiology; concomitant variables; dose-response regression; early termination of trial; GLM; interim analysis; matrix-valued counting processes; medical ethics; monitoring; multi-clinic studies; multiple end-points; nonparametrics; parametrics; PHM; time-sequential analysis;

D O I：

暂无

中图分类号：

R19 [保健组织与事业（卫生事业管理）];

学科分类号：

摘要：

During the past three decades, led by the popular Cox (1972) proportional hazard model. various semiparametric models in clinical trials and survival analysis have emerged in increasing generality. From statistical modeling and methodological perspectives, these developments a[,pear to be significant. Nevertheless. from actual application point of view. often, there are roadblocks. This picture may differ from the hypothesis testing to risk assessment and estimation contexts. Keeping the scope of applicability in mind. an appraisal of the use and abuse of semiparametrics in medical studies is made with due emphasis on allied parametrics as well as nonparametrics.

引用

页码：37 / 51

页数：15

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