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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
9
|
| pubmed:dateCreated |
1988-11-21
|
| pubmed:abstractText |
Radiological assessment of pneumoconiosis is an example of a dichotomized variable, namely one that is analysed as a binary response but in fact has an underlying continuum, which in this case is not measurable. Estimates of exposure-response relationships vary greatly for different observers of a dichotomized response variable because of random error of measurement and differences in the threshold implicitly chosen by each observer for categorizing cases. We present a method of using the biserial correlation coefficient and normal distribution theory to estimate exposure-response relationships at any required threshold for each observer. Exposure-response relationships can also be corrected for random observational error using the reliability coefficient, calculated as the tetrachoric correlation between repeat observations by readers.
|
| pubmed:language |
eng
|
| pubmed:journal | |
| pubmed:citationSubset |
IM
|
| pubmed:status |
MEDLINE
|
| pubmed:month |
Sep
|
| pubmed:issn |
0277-6715
|
| pubmed:author | |
| pubmed:issnType |
Print
|
| pubmed:volume |
7
|
| pubmed:owner |
NLM
|
| pubmed:authorsComplete |
Y
|
| pubmed:pagination |
955-64
|
| pubmed:dateRevised |
2004-11-17
|
| pubmed:meshHeading | |
| pubmed:year |
1988
|
| pubmed:articleTitle |
Exposure-response relationship for a dichotomized response when the continuous underlying variable is not measured.
|
| pubmed:affiliation |
Institute for Biostatistics of the South African Medical Research Council, Hillbrow.
|
| pubmed:publicationType |
Journal Article
|