Inverse-Probability-Weighted Estimation for Monotone and Nonmonotone Missing Data.

ABSTRACT: Missing data is a common occurrence in epidemiologic research. In this paper, 3 data sets with induced missing values from the Collaborative Perinatal Project, a multisite US study conducted from 1959 to 1974, are provided as examples of prototypical epidemiologic studies with missing data. Our goal was to estimate the association of maternal smoking behavior with spontaneous abortion while adjusting for numerous confounders. At the same time, we did not necessarily wish to evaluate the joint distribution among potentially unobserved covariates, which is seldom the subject of substantive scientific interest. The inverse probability weighting (IPW) approach preserves the semiparametric structure of the underlying model of substantive interest and clearly separates the model of substantive i

SUBMITTER: Sun B 

PROVIDER: S-EPMC5860553 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature