Journal
STATISTICS IN MEDICINE
Volume 29, Issue 29, Pages 3030-3045Publisher
WILEY
DOI: 10.1002/sim.4086
Keywords
individual patient data; meta-analysis; extended log-gamma model; proportional hazards; time-to-event outcomes
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Funding
- MRC(UK) [U.1052.00.009.00001.01, U.1052.00.009.00002.01]
- British Heart Foundation [RG/08/014/24067] Funding Source: researchfish
- Medical Research Council [MC_EX_G0800814, G0600650, MC_EX_G0902100] Funding Source: researchfish
- MRC [MC_EX_G0800814, MC_EX_G0902100, G0600650] Funding Source: UKRI
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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. Copyright (C) 2010 John Wiley & Sons, Ltd.
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