Title: Individual patient data meta-analysis of survival data using Poisson regression models
Authors: Crowther, Michael J ×
Riley, Richard D
Staessen, Jan A
Wang, Jiguang
Gueyffier, Francois
Lambert, Paul C #
Issue Date: Mar-2012
Publisher: BioMed Central
Series Title: BMC Medical Research Methodology vol:12 pages:34-34
Abstract: 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).
ISSN: 1471-2288
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Hypertension and Cardiovascular Epidemiology
× corresponding author
# (joint) last author

Files in This Item:
File Description Status SizeFormat
12-14-P.pdf Published 497KbAdobe PDFView/Open


All items in Lirias are protected by copyright, with all rights reserved.

© Web of science