One-stage parametric meta-analysis of time-to-event outcomes |
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Authors: | Siannis F Barrett J K Farewell V T Tierney J F |
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Institution: | Department of Mathematics, University of Athens, Greece. fsiannis@math.uoa.gr |
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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. |
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Keywords: | individual patient data meta‐analysis extended log‐gamma model proportional hazards time‐to‐event outcomes |
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