UNIGE document Scientific Article
previous document  unige:36639  next document
add to browser collection
Title

Meta-analysis of two-arm studies: Modeling the intervention effect from survival probabilities

Authors
Published in Statistical Methods in Medical Research. 2016, vol. 25, no. 2, p. 857-871
Abstract Pooling the hazard ratios is not always feasible in meta-analyses of two-arm survival studies, because the measure of the intervention effect is not systematically reported. An alternative approach proposed by Moodie et al. is to use the survival probabilities of the included studies, all collected at a single point in time: the intervention effect is then summarised as the pooled ratio of the logarithm of survival probabilities (which is an estimator of the hazard ratios when hazards are proportional). In this article, we propose a generalization of this method. By using survival probabilities at several points in time, this generalization allows a flexible modeling of the intervention over time. The method is applicable to partially proportional hazards models, with the advantage of not requiring the specification of the baseline survival. As in Moodie et al.'s method, the study-level factors modifying the survival functions can be ignored as long as they do not modify the intervention effect. The procedures of estimation are presented for fixed and random effects models. Two illustrative examples are presented.
Identifiers
PMID: 23267027
Full text
This document has no fulltext available yet, but you can contact its author by using the form below.
Structures
Research group Epidémiologie clinique (115)
Citation
(ISO format)
COMBESCURE, Christophe et al. Meta-analysis of two-arm studies: Modeling the intervention effect from survival probabilities. In: Statistical Methods in Medical Research, 2016, vol. 25, n° 2, p. 857-871. https://archive-ouverte.unige.ch/unige:36639

144 hits

0 download

Update

Deposited on : 2014-05-14

Export document
Format :
Citation style :