Outcome-related, Auxiliary Variable Sampling Designs for Longitudinal Binary Data.

ABSTRACT:

Background

Epidemiologists have long used case-control and related study designs to enhance variability of response and information available to estimate exposure-disease associations. Less has been done for longitudinal data.

Methods

We discuss an epidemiological study design and analysis approach for longitudinal binary response data. We seek to gain statistical efficiency by oversampling relatively informative subjects for inclusion into the sample. In this methodological demonstration, we develop this concept by sampling repeatedly from an existing cohort study to estimate the relationship of chronic obstructive pulmonary disease to past-year smoking in a panel of baseline smokers. To account for oversampling, we describe a sequential offsetted regressions approach for v

SUBMITTER: Schildcrout JS 

PROVIDER: S-EPMC5718926 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature