Statistical criteria in the interpretation of epidemiologic data. | Zendy

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Statistical criteria in the interpretation of epidemiologic data.

Author(s) -

William Thompson

Publication year - 1987

Publication title -

american journal of public health

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.284

H-Index - 264

eISSN - 1541-0048

pISSN - 0090-0036

DOI - 10.2105/ajph.77.2.191

Subject(s) - interpretation (philosophy) , medicine , environmental health , epidemiology , computer science , pathology , programming language

There are few certainties in the conduct of epidemiologic research. One thing that can be counted upon, however, is that chance will play some role in the pattern of results observed in any particular study. The basic statistical tools for assessing results with appropriate consideration of the role of chance have been available for some time, but recent commentary in the Journal clearly indicates that we do not yet have a consensus regarding how these tools should be used.`5 In this communication, I offer yet another perspective on what are clearly central issues for the conduct of epidemiologic inquiry.

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