Journal of Clinical Epidemiology
Volume 54, Issue 5 , Pages 440-447, May 2001

Sources of heterogeneity in the meta-analysis of observational studies The example of SIDS and sleeping position

  • Terence Dwyer

      Affiliations

    • Menzies Centre for Population Health Research, University of Tasmania, GPO Box 252-23, Hobart 7001, Tasmania, Australia
    • Corresponding Author InformationCorresponding author. Tel.: +61-3-6226 7700 fax: +61-3-6226 7704. E-mail address:(T. Dwyer)
  • ,
  • David Couper

      Affiliations

    • Menzies Centre for Population Health Research, University of Tasmania, GPO Box 252-23, Hobart 7001, Tasmania, Australia
    • Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
  • ,
  • Stephen D Walter

      Affiliations

    • Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton Ontario, Canada

Received 3 May 1999; received in revised form 6 July 2000; accepted 2 August 2000.

Abstract 

The study objective was to provide an example of how risk estimates might vary across studies of observational design, even when a causal association is present and to explore the possible sources of such variation. A meta-analysis of studies on the association between prone sleeping position and sudden infant death syndrome (SIDS) is used to illustrate how risk estimates might vary across studies. Data used were reported case-control studies of the association between sleeping position and SIDS that were published between 1970 and 1994. If the pooled odds ratio had been relied on to assess the association between sleeping position and SIDS without an accompanying examination of the reasons for heterogeneity, important insights into the causal significance of the relationship may have been lost. In meta-analyses of observational studies it is important to investigate the reasons for heterogeneity across studies.

Keywords:  Meta-analysis, Observational epidemiology, Sudden infant death syndrome

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PII: S0895-4356(00)00313-9

Journal of Clinical Epidemiology
Volume 54, Issue 5 , Pages 440-447, May 2001