Journal
BIOSTATISTICS
Volume 10, Issue 2, Pages 275-281Publisher
OXFORD UNIV PRESS
DOI: 10.1093/biostatistics/kxn034
Keywords
Continuity correction for zero events; Exact inference procedure; Odds ratio; Risk difference
Funding
- National Institutes of Health [U54LM008748, R01AI052817, R01HL89778]
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Recently, meta-analysis has been widely utilized to combine information across comparative clinical studies for evaluating drug efficacy or safety profile. When dealing with rather rare events, a substantial proportion of studies may not have any events of interest. Conventional methods either exclude such studies or add an arbitrary positive value to each cell of the corresponding 2x2 tables in the analysis. In this article, we present a simple, effective procedure to make valid inferences about the parameter of interest with all available data without artificial continuity corrections. We then use the procedure to analyze the data from 48 comparative trials involving rosiglitazone with respect to its possible cardiovascular toxicity.
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