Comparison of Bayesian and Frequentist Meta-Analytical Approaches for Analyzing Time to Event Data

被引：7

作者：

Bennett, Monica M. ^{[1
]}

Crowe, Brenda J. ^{[2
]}

Price, Karen L. ^{[2
]}

Stamey, James D. ^{[3
]}

Seaman, John W., Jr. ^{[3
]}

机构：

[1] Baylor Hlth Care Syst, Inst Hlth Care Res & Improvement, Dallas, TX 75201 USA

[2] Eli Lilly & Co, Indianapolis, IN 46285 USA

[3] Baylor Univ, Dept Stat Sci, Waco, TX 76798 USA

来源：

JOURNAL OF BIOPHARMACEUTICAL STATISTICS | 2013年 / 23卷 / 01期

关键词：

Bayesian methods; Meta-analysis; Penalized likelihood; Proportional hazards model; Time-to-event; METAANALYSIS; LIKELIHOOD; HAZARDS;

D O I：

10.1080/10543406.2013.737210

中图分类号：

R9 [药学];

学科分类号：

1007 ;

摘要：

Using meta-analysis in health care research is a common practice. Here we are interested in methods used for analysis of time-to-event data. Particularly, we are interested in their performance when there is a low event rate. We consider three methods based on the Cox proportional hazards model, including a Bayesian approach. A formal comparison of the methods is conducted using a simulation study. In our simulation we model two treatments and consider several scenarios.

引用

页码：129 / 145

页数：17

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