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Methods for combining randomized clinical trials: Strengths and limitations

Statistics in Medicine · 1987 · Vol. 6(3) · pp. 341–348
David L. DeMets

Abstract

Methods for combining data from several studies exist and appear to be quite useful. None satisfactorily addresses the question of what studies should be combined. This issue is the most serious methodological limitation. Even studies with statistically significant interaction might still be combined if the effect were in the same direction. Thus, substantial scientific input is required as to what criteria must be met by each potential study. Much can be learned from combining or pooling data but it must be done cautiously. Pooling exercises do not replace well designed prospective clinical trials. Efforts for establishing basic design criteria to allow for multicentre and multicountry trials to be more easily combined might be useful.

Statistical Methods in Clinical TrialsMeta-analysis and systematic reviewsHealth Systems, Economic Evaluations, Quality of LifePoolingComputer scienceClinical trialRisk analysis (engineering)Medical physicsManagement scienceData miningArtificial intelligenceMedicine

MeSH terms

Clinical Trials as TopicData CollectionHumansRandom AllocationStatistics as Topic

Funding

  • National Institutes of Health
Citations
1,047
FWCI
7.39
field-weighted impact
References
43
Percentile
98%
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Citations per year
References
Clinical trials: A practical approach
Trends in Pharmacological Sciences · 1984 · 1,058 citations
Clinical Trials: A Practical Approach.
Biometrics · 1984 · 2,961 citations
Statistical Aspects of the Analysis of Data From Retrospective Studies of Disease
JNCI Journal of the National Cancer Institute · 1959 · 14,848 citations
Some Methods for Strengthening the Common χ 2 Tests
Biometrics · 1954 · 3,661 citations
Statistical Methods for Research Workers
Agronomy Journal · 1939 · 479 citations
Statistical Methods in Medical Research.
Biometrics · 1972 · 4,072 citations
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