Meta-analysis of summary survival curve data

Lidia Arends, Myriam Hunink, T (Theo) Stijnen

Research output: Contribution to journalArticleAcademicpeer-review

76 Citations (Scopus)


The use of standard univariate fixed- and random-effects models in meta-analysis has become well known in the last 20 years. However, these models are unsuitable for meta-analysis of clinical trials that present multiple survival estimates (usually illustrated by a survival curve) during a follow-up period. Therefore, special methods are needed to combine the survival curve data from different trials in a meta-analysis. For this purpose, only fixed-effects models have been suggested in the literature. In this paper, we propose a multivariate random-effects model for joint analysis of survival proportions reported at multiple time points and in different studies, to be combined in a meta-analysis. The model could be seen as a generalization of the fixed-effects model of Dear (Biometrics 1994; 50:989-1002). We illustrate the method by using a simulated data example as well as using a clinical data example of meta-analysis with aggregated survival curve data. All analyses can be carried out with standard general linear MIXED model software. Copyright (c) 2008 John Wiley & Sons, Ltd.
Original languageUndefined/Unknown
Pages (from-to)4381-4396
Number of pages16
JournalStatistics in Medicine
Issue number22
Publication statusPublished - 2008

Research programs

  • EMC NIHES-01-64-03
  • EMC NIHES-01-66-01
  • EMC NIHES-03-30-02

Cite this