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 Medjournal_title
Statistics in medicineauthors
Siannis F,Barrett JK,Farewell VT,Tierney JFdoi
10.1002/sim.4086subject
Has Abstractpub_date
2010-12-20 00:00:00pages
3030-45issue
29eissn
0277-6715issn
1097-0258journal_volume
29pub_type
杂志文章abstract::Often in randomized clinical trials and observational studies in occupational and environmental health, a non-negative continuously distributed response variable denoting some metabolites of environmental toxicants is measured in treatment and control groups. When observations occur in both unexposed and exposed subje...
journal_title:Statistics in medicine
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