Individual patient data meta-analysis of survival data using Poisson regression models
Crowther, Michael J × Riley, Richard D Staessen, Jan A Wang, Jiguang Gueyffier, Francois Lambert, Paul C #
BMC Medical Research Methodology vol:12 pages:34-34
An Individual Patient Data (IPD) meta-analysis is often considered the gold-standard for synthesising survival data from clinical trials. An IPD meta-analysis can be achieved by either a two-stage or a one-stage approach, depending on whether the trials are analysed separately or simultaneously. A range of one-stage hierarchical Cox models have been previously proposed, but these are known to be computationally intensive and are not currently available in all standard statistical software. We describe an alternative approach using Poisson based Generalised Linear Models (GLMs).