Binary Outcome Exposure-response Models
Binary Outcome Exposure-Response Models is a statistical modeling framework that characterizes the relationship between the magnitude of exposure to a given agent and the probability of a dichotomous health outcome, distinguished by its focus on binary response variables in contrast to continuous or multicategory outcomes.
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3K
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2017–2026
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Choice Reviews Online · 1990 · 35.7K citations
Susanne Ditlevsen, Ulla Christensen, John Lynch et al. · Epidemiology · 2004 · 251 citations
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University of California, Los Angeles, United States
1 publications · 98 citations
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Harvard University
Cambridge, United States
4 h-index
4 publications
1.5K citations
London School of Hygiene & Tropical Medicine
London, United Kingdom
3 h-index
5 publications
725 citations
Emory University
Atlanta, United States
2 h-index
3 publications
62 citations
National Cancer Institute
Bethesda, United States
2 h-index
2 publications
200 citations
University of Michigan
Ann Arbor, United States
2 h-index
2 publications
437 citations
National Institutes of Health
Bethesda, United States
2 h-index
2 publications
200 citations
University of Cambridge
Cambridge, United Kingdom
1 h-index
1 publications
45 citations
MRC Biostatistics Unit
Cambridge, United Kingdom
1 h-index
1 publications
45 citations
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6 publications · 385 citations
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4 publications · 426 citations
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4 publications · 345 citations
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AJE · 2 publications · 118 citations
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ADS · 1 publications · 67 citations
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