Exposure-response relationship for a dichotomized response when the continuous underlying variable is not measured.
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.
Irwig
L M
LM
Institute for Biostatistics of the South African Medical Research Council, Hillbrow.
Groeneveld
H T
HT
D001195:Asbestosis / Q000209:etiology; D004305:Dose-Response Relationship, Drug; D004781:Environmental Exposure; D004812:Epidemiologic Methods; D006801:Humans; D008452:Maximum Allowable Concentration