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A Homogeneity Test in Overviews with Group Sequentially Monitored Clinical Trials
- Source :
- Biometrics. 56:134-138
- Publication Year :
- 2000
- Publisher :
- Wiley, 2000.
-
Abstract
- Summary. It is known that using statistical stopping rules in clinical trials can create an artificial heterogeneity of treatment effects in overviews of related trials (Hughes, Preedman, and Pocock, 1992, Biometrics48, 41–53). If the true treatment effect being tested is small, as is often the case, the homogeneity test by DerSimonian and Laird (1986, Controlled Clinical Trials7, 177–188) violates the size of the test very severely. This paper provides a new homogeneity test, which preserves the size of the test more accurately. The operating characteristics of the new test are examined through simulations.
- Subjects :
- Statistics and Probability
Clinical Trials as Topic
Biometry
General Immunology and Microbiology
Computer science
Applied Mathematics
Homogeneity (statistics)
General Medicine
Interim analysis
General Biochemistry, Genetics and Molecular Biology
Clinical trial
Meta-Analysis as Topic
Meta-analysis
Statistics
Humans
Stopping rules
Treatment effect
General Agricultural and Biological Sciences
Monte Carlo Method
Subjects
Details
- ISSN :
- 0006341X
- Volume :
- 56
- Database :
- OpenAIRE
- Journal :
- Biometrics
- Accession number :
- edsair.doi.dedup.....c63be2a466e1701bdb2d2a0e7ae7feea