Non-observation of Recurrent Biomeasures Collected in Longitudinal Panel Surveys

Biomeasure collection in surveys has increased substantially in the last two decades, but
little focus has been given to the recurrent nature of this collection in longitudinal panel surveys.
The purpose of this dissertation is to explore various sources of biomeasure non-observation in a
population-based longitudinal survey, identify predictors of missingness, ascertain if bias results
from these different sources, and address approaches to imputation for this kind of data. These
studies utilize interview, biomeasure, and interviewer data from the Health and Retirement Study
(HRS) encompassing the 2006 through 2014 cycles.