A bivariate measurement error model for semicontinuous and continuous variables: Application to nutritional epidemiology.

ABSTRACT: Semicontinuous data in the form of a mixture of a large portion of zero values and continuously distributed positive values frequently arise in many areas of biostatistics. This article is motivated by the analysis of relationships between disease outcomes and intakes of episodically consumed dietary components. An important aspect of studies in nutritional epidemiology is that true diet is unobservable and commonly evaluated by food frequency questionnaires with substantial measurement error. Following the regression calibration approach for measurement error correction, unknown individual intakes in the risk model are replaced by their conditional expectations given mismeasured intakes and other model covariates. Those regression calibration predictors are estimated using short-term unbi

SUBMITTER: Kipnis V 

PROVIDER: S-EPMC4775438 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature