Bayesian Imputation of Missing Covariates

Published: Jun 12, 2019
Abstract
Missing values are a pervasive problem in almost all kinds of studies. In large cohort studies, the type of study most often conducted in the field of epidemiology, missing observations in covariates pose the major challenge. Since measurements are taken in an uncontrolled environment, typically many covariates need to be considered as potential confounders to filter out unwanted influences that environmental factors may have on the estimates of...
Paper Details
Title
Bayesian Imputation of Missing Covariates
Published Date
Jun 12, 2019
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