UNIGE document Scientific Article
previous document  unige:95064  next document
add to browser collection

Meta-analysis combining parallel and crossover trials using generalised estimating equation method

Published in Research Synthesis Methods. 2017, vol. 8, no. 3, p. 312-320
Abstract Clinical trials have different designs: In late stage drug development, the parallel trial design is the most frequent one; however, the crossover design is not rare; different techniques are used to analyse their results. Although both designs measure the same treatment effect, combining parallel and crossover trials in a meta-analysis is not straightforward. We present here a meta-analysis method based on generalised estimating equation (GEE) regression to combine aggregated results of crossover and parallel trials using a marginal estimation approach. This method is based on the fixed effects meta-analytic model; it allows combining average outcomes belonging to the exponential distributions obtained from trials of different designs and in particular from crossover trials with more than 2 periods and 2 treatments. By extending the methods proposed so far to combine the 2 trial designs, the GEE regression allows for adjusting for bias, such as a carry-over effect typical in crossover trials. In this paper, the GEE meta-analysis method is compared to the classical weighted average method with examples of published and simulated meta-analyses. Although the GEE can account for crossover specificities, it is limited by the availability of detailed trial information often encountered with reports of these trials.
Keywords BiasCrossoverGeneralised estimating equationMeta‐analysisParallelTrial design
PMID: 28585280
Full text
Article (Accepted version) (182 Kb) - private document Private access
(ISO format)
CURTIN, François. Meta-analysis combining parallel and crossover trials using generalised estimating equation method. In: Research Synthesis Methods, 2017, vol. 8, n° 3, p. 312-320. doi: 10.1002/jrsm.1242 https://archive-ouverte.unige.ch/unige:95064

317 hits

0 download


Deposited on : 2017-06-26

Export document
Format :
Citation style :