Tutorial in Biostatistics
Meta-analysis: formulating, evaluating, combining, and reporting
Article first published online: 21 JAN 1999
Copyright © 1999 John Wiley & Sons, Ltd.
Statistics in Medicine
Volume 18, Issue 3, pages 321–359, 15 February 1999
How to Cite
Normand, S.-L. T. (1999), Meta-analysis: formulating, evaluating, combining, and reporting. Statist. Med., 18: 321–359. doi: 10.1002/(SICI)1097-0258(19990215)18:3<321::AID-SIM28>3.0.CO;2-P
- Issue published online: 21 JAN 1999
- Article first published online: 21 JAN 1999
- Manuscript Accepted: APR 1998
- Manuscript Received: JAN 1998
- National Cancer Institute. Grant Number: CA-61141
Meta-analysis involves combining summary information from related but independent studies. The objectives of a meta-analysis include increasing power to detect an overall treatment effect, estimation of the degree of benefit associated with a particular study treatment, assessment of the amount of variability between studies, or identification of study characteristics associated with particularly effective treatments. This article presents a tutorial on meta-analysis intended for anyone with a mathematical statistics background. Search strategies and review methods of the literature are discussed. Emphasis is focused on analytic methods for estimation of the parameters of interest. Three modes of inference are discussed: maximum likelihood; restricted maximum likelihood, and Bayesian. Finally, software for performing inference using restricted maximum likelihood and fully Bayesian methods are demonstrated. Methods are illustrated using two examples: an evaluation of mortality from prophylactic use of lidocaine after a heart attack, and a comparison of length of hospital stay for stroke patients under two different management protocols. Copyright © 1999 John Wiley & Sons, Ltd.