One-stage parametric meta-analysis of time-to-event outcomes.

Abstract:

:Methodology for the meta-analysis of individual patient data with survival end-points is proposed. Motivated by questions about the reliance on hazard ratios as summary measures of treatment effects, a parametric approach is considered and percentile ratios are introduced as an alternative to hazard ratios. The generalized log-gamma model, which includes many common time-to-event distributions as special cases, is discussed in detail. Likelihood inference for percentile ratios is outlined. The proposed methodology is used for a meta-analysis of glioma data that was one of the studies which motivated this work. A simulation study exploring the validity of the proposed methodology is available electronically.

journal_name

Stat Med

journal_title

Statistics in medicine

authors

Siannis F,Barrett JK,Farewell VT,Tierney JF

doi

10.1002/sim.4086

subject

Has Abstract

pub_date

2010-12-20 00:00:00

pages

3030-45

issue

29

eissn

0277-6715

issn

1097-0258

journal_volume

29

pub_type

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