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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
11
|
| pubmed:dateCreated |
1992-11-23
|
| pubmed:abstractText |
Epidemiological studies of disease can make use of ancillary risk-factors, acquired from individuals outside the disease study. For example, several disease studies might use the same job-exposure matrix to quantify risks due to occupational exposure to industrial agents. We construct a graphical model to combine a logistic regression disease model with models for the ancillary data and the risk-factor distribution in the population. We estimate the graphical model using Gibbs sampling, and in simulations compare it with methods of direct substitution into logistic regression.
|
| pubmed:language |
eng
|
| pubmed:journal | |
| pubmed:citationSubset |
IM
|
| pubmed:status |
MEDLINE
|
| pubmed:month |
Aug
|
| pubmed:issn |
0277-6715
|
| pubmed:author | |
| pubmed:issnType |
Print
|
| pubmed:volume |
11
|
| pubmed:owner |
NLM
|
| pubmed:authorsComplete |
Y
|
| pubmed:pagination |
1443-63
|
| pubmed:dateRevised |
2006-11-15
|
| pubmed:meshHeading |
pubmed-meshheading:1410959-Bayes Theorem,
pubmed-meshheading:1410959-Cross-Sectional Studies,
pubmed-meshheading:1410959-Humans,
pubmed-meshheading:1410959-Incidence,
pubmed-meshheading:1410959-Logistic Models,
pubmed-meshheading:1410959-Models, Statistical,
pubmed-meshheading:1410959-Occupational Diseases,
pubmed-meshheading:1410959-Occupational Exposure,
pubmed-meshheading:1410959-Regression Analysis,
pubmed-meshheading:1410959-Risk Factors
|
| pubmed:year |
1992
|
| pubmed:articleTitle |
Analysis of disease risks using ancillary risk factors, with application to job-exposure matrices.
|
| pubmed:affiliation |
Medical Research Council Biostatistics Unit, Fair View Lodge, Cambridge, U.K.
|
| pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
|