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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
4
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pubmed:dateCreated |
1995-7-24
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pubmed:abstractText |
This paper provides an efficient algorithm to generate exact distributions for the bivariate logistic model with common and sub-unit-specific covariates. The algorithm can be used to analyze correlated paired binary response data from studies lacking a large sample size. Possible applications include a clinical trial with two distinct binary outcomes, a binary outcome cross-over or two-time point cohort study, and a pair-matched prospective study with binary outcome. Analysis of data from an ophthalmologic study is provided to illustrate the method. Extension to three or more correlated binary responses is also outlined.
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pubmed:grant | |
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 |
Dec
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pubmed:issn |
0006-341X
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
50
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
964-74
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pubmed:dateRevised |
2007-11-14
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pubmed:meshHeading |
pubmed-meshheading:7787009-Adult,
pubmed-meshheading:7787009-Age Factors,
pubmed-meshheading:7787009-Algorithms,
pubmed-meshheading:7787009-Analysis of Variance,
pubmed-meshheading:7787009-Biometry,
pubmed-meshheading:7787009-Humans,
pubmed-meshheading:7787009-Mathematics,
pubmed-meshheading:7787009-Middle Aged,
pubmed-meshheading:7787009-Models, Statistical,
pubmed-meshheading:7787009-Retinitis Pigmentosa
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pubmed:year |
1994
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pubmed:articleTitle |
Exact analysis for paired binary data.
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pubmed:affiliation |
Department of Biomathematics, UCLA School of Medicine 90024-1766.
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pubmed:publicationType |
Journal Article,
Comparative Study,
Research Support, U.S. Gov't, P.H.S.
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