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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
1
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pubmed:dateCreated |
1978-10-18
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pubmed:abstractText |
K.J. Rothman has explored in some detail the issue of assessing the potential presence of synergism (or antagonism) in data generated from either a cohort or a case-control study. Arguing that the "natural" scale for quantifying the joint effects of two or more factors acting in combination is the probability scale, he has proposed a procedure based on a ratio-type index for evaluating two-factor interaction in the presence of non-zero background effects. In this paper, the authors review the rationale underlying Rothman's approach for a cohort study. They then present what they maintain is a simpler and more appropriate test procedure (utilizing a linear contrast of the observed risks) for the additive approximation to his basic probabilistic model of "no interaction." A likelihood ratio test based on his original model is also proposed, as well as a closed form approximation to it. Finally, the assessment of interaction in cohort studies involving exposure factors measured at more than two levels is addressed.
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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
Jul
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pubmed:issn |
0002-9262
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
108
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
60-7
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pubmed:dateRevised |
2006-11-15
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pubmed:meshHeading | |
pubmed:year |
1978
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pubmed:articleTitle |
Alternatives to Rothman's approach for assessing synergism (or antagonism) in cohort studies.
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pubmed:publicationType |
Journal Article,
Research Support, U.S. Gov't, P.H.S.
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