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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
1
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pubmed:dateCreated |
1992-4-23
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pubmed:abstractText |
Exact and approximate methods for analyzing the common odds ratio in the combination of 2 x 2 tables are programmed. The approximate methods are improved by incorporating bias and skewness corrections in testing and estimation. Exact methods are done more efficiently by employing network theory. This makes more feasible the exact analyses of sparse data, large numbers of 2 x 2 tables each based on small numbers. Additional tests of interaction, particularly for sparse data, are added. Another feature is the point and interval estimation of the attributable risk. The various aspects of the program are illustrated in three numerical examples. An executable version of this program, for IBM compatible PCs, requires about 314K for up to 500 tables. It is available from the authors upon submission of a PC diskette formatted with MS-DOS.
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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 |
Feb
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pubmed:issn |
0010-4809
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
25
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
75-84
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pubmed:dateRevised |
2006-11-15
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pubmed:meshHeading |
pubmed-meshheading:1547628-Aged,
pubmed-meshheading:1547628-Animals,
pubmed-meshheading:1547628-Data Interpretation, Statistical,
pubmed-meshheading:1547628-Endometrial Neoplasms,
pubmed-meshheading:1547628-Female,
pubmed-meshheading:1547628-Humans,
pubmed-meshheading:1547628-Male,
pubmed-meshheading:1547628-Mice,
pubmed-meshheading:1547628-Microcomputers,
pubmed-meshheading:1547628-Middle Aged,
pubmed-meshheading:1547628-Odds Ratio,
pubmed-meshheading:1547628-Risk,
pubmed-meshheading:1547628-Software,
pubmed-meshheading:1547628-Urinary Bladder Neoplasms
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pubmed:year |
1992
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pubmed:articleTitle |
Improved and extended exact and asymptotic methods for the combination of 2 x 2 tables.
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pubmed:affiliation |
Biostatistics Branch, National Cancer Institute, Bethesda, Maryland 20892.
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pubmed:publicationType |
Journal Article
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