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Review
. 2005 Apr 30;330(7498):1021-3.
doi: 10.1136/bmj.330.7498.1021.

Readers guide to critical appraisal of cohort studies: 3. Analytical strategies to reduce confounding

Sharon-Lise T Normand  1 , Kathy Sykora, Ping Li, Muhammad Mamdani, Paula A Rochon, Geoffrey M Anderson
Affiliations
Review

Readers guide to critical appraisal of cohort studies: 3. Analytical strategies to reduce confounding

Sharon-Lise T Normand et al. BMJ. .

Abstract

Analytical strategies can help deal with potential confounding but readers need to know which strategy is appropriate

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Figures

Figure 1
Figure 1
Stratification of the cohort helps minimise bias Credit: SAMBA PHOTO/PHOTONICA
See this image and copyright information in PMC

References

    1. Rochon PA, Gurwitz JH, Sykora K, Mamdani M, Streiner DL, Garfinkel S, et al. Readers guide to the critical appraisal of cohort studies: 1. Role and design. BMJ 2005;330: 895-7. - PMC - PubMed
    1. Mamdani, M, Sykora K, Li P, Normand SLT, Streiner DL, Austin PC, et al. Reader's guide to the critical appraisal of cohort studies: 2. Assessing potential for confounding. BMJ 2005;330: 960-2. - PMC - PubMed
    1. Evans S. Matched cohorts can be useful [commentary to Helms M et al. Short and long term mortality associated with foodborne bacterial gastrointestinal infections: registry based study]. BMJ 2003;326: 360. - PMC - PubMed
    1. Greenlander S, Morgenstern H. Matching and efficiency in cohort studies. Am J Epidemiol 1990;131: 151-9. - PubMed
    1. Rosner B. Fundamentals of biostatistics. 5th ed. Pacific Grove, CA: Duxbury Press, 2000.

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