title: Moving Block Bootstrap for Analyzing Longitudinal Data.
abstract: In a longitudinal study subjects are followed over time. I focus on a case where the number of replications over time is large relative to the number of subjects in the study. I investigate the use of moving block bootstrap methods for analyzing such data. Asymptotic properties of the bootstrap methods in this setting are derived. The effectiveness of these resampling methods is also demonstrated through a simulation study.
authors.affiliation: Department of Preventive Medicine and Community Health, The University of Texas Medical Branch, Galveston, Texas, USA.
authors.forename: Hyunsu
authors.initials: H
authors.lastname: Ju
keywords: Longitudinal study; Moving block bootstrap