Premium
Synthesis of Evidence from Epidemiological Studies with Interval‐Censored Exposure Due to Grouping
Author(s) -
Cook Richard J.,
Brumback Babette B.,
Wigg Melanie B.,
Ryan Louise M.
Publication year - 2001
Publication title -
biometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.298
H-Index - 130
eISSN - 1541-0420
pISSN - 0006-341X
DOI - 10.1111/j.0006-341x.2001.00671.x
Subject(s) - covariate , statistics , censoring (clinical trials) , logistic regression , multinomial logistic regression , econometrics , multinomial distribution , confidence interval , mathematics , medicine
Summary. We describe a method for assessing dose–response effects from a series of case–control and cohort studies in which the exposure information is interval censored. The interval censoring of the exposure variable is dealt with through the use of retrospective models in which the exposure is treated as a multinomial response and disease status as a binary covariate. Polychotomous logistic regression models are adopted in which the dose‐response relationship between exposure and disease may be modeled in a discrete or continuous fashion. Partial conditioning is possible to eliminate some of the nuisance parameters. The methods are applied to the motivating study of the relationship between chorionic villus sampling and the occurrence of terminal transverse limb reduction.