COMING SOON! PQDT Open is getting a new home!

ProQuest Open Access Dissertations & Theses will remain freely available as part of a new and enhanced search experience at

Questions? Please refer to this FAQ.

Dissertation/Thesis Abstract

Design and Analysis Considerations for Complex Longitudinal and Survey Sampling Studies
by Mercaldo, Nathanial David, Ph.D., Vanderbilt University, 2017, 110; 13835145
Abstract (Summary)

Retrospective outcome dependent sampling (ODS) designs are an efficient class of study designs that may be implemented when resource constraints prohibit the ascertainment of an exposure on an entire cohort. One type of ODS design for longitudinal binary data stratifies individuals into three strata according to a categorization of their response vector: those who did not experience the outcome, those that only experienced the outcome, and those that exhibited response variation (Schildcrout and Heagerty, 2008). For time-varying covariate effects, it has been shown that sampling only those individuals with response variation results in nearly fully efficient estimation compared to the full cohort analysis. If inference lies in a time-invariant covariate effect, or a combined time-varying and time-invariant covariate effect, then the choice of how to allocate resources, or how to define sampling probabilities, is not obvious. We propose a class of two-stage ODS designs for longitudinal binary data. We extend standard (or single-stage) ODS designs to permit two waves of data collection. Fixed two-stage ODS designs utilize pre-specified sampling probabilities, and adaptive two-stage ODS designs use information from stage one to inform our choice of the stage two sampling probabilities. These designs are applied to data from the Lung Health Study where it is of interest to identify genetic determinants of lung function decline among individuals with mild chronic obstructive pulmonary disease.

Indexing (document details)
Advisor: Harrell, Frank E.
Commitee: Hardell, Frank E., Lipworth, Loren P., Schildcrout, Jonathan S., Shepherd, Bryan E., Shotwell, Matthew S.
School: Vanderbilt University
Department: Biostatistics
School Location: United States -- Tennessee
Source: DAI-B 80/06(E), Dissertation Abstracts International
Subjects: Biostatistics
Keywords: Efficient study designs, Electronic health records, Longitudinal data, Misclassification, Outcome dependent sampling, Survey data
Publication Number: 13835145
ISBN: 978-0-438-82238-2
Copyright © 2021 ProQuest LLC. All rights reserved. Terms and Conditions Privacy Policy Cookie Policy