期刊
EPIDEMIOLOGY
卷 11, 期 3, 页码 255-260出版社
LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/00001648-200005000-00005
关键词
meta-analysis; exact inference; algorithms; computer programs; epidemiologic methods
In this paper, we describe an exact method for estimating a common relative risk across different epidemiologic study designs. The types of studies allowed by the method include case-control studies, follow-up studies with an internal comparison group, and follow-up studies with an external comparison group. Because the method is exact, sparseness of individual studies is not an issue. Those wishing to perform a metaanalysis of case-control studies and follow-up studies in which both the exposure and outcome are rare-will find the method particularly useful. To allow one to perform the computations efficiently, we present a partial polynomial multiplication algorithm. We also describe a public-domain computer program that performs the necessary calculations.
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