Moving Block Bootstrap for Analyzing Longitudinal Data

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 meth...

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Bibliographic Details
Published inCommunications in statistics. Theory and methods Vol. 44; no. 6; pp. 1130 - 1142
Main Author Ju, Hyunsu
Format Journal Article
LanguageEnglish
Published United States Taylor & Francis 19.03.2015
Taylor & Francis Ltd
Subjects
Asymptotic properties
Blocking
Bootstrap method
Longitudinal study
Moving block bootstrap
Regression analysis
Replication
Resampling
Simulation
Statistics
Longitudinal study
Moving block bootstrap
Online AccessGet full text
ISSN0361-0926
1532-415X
DOI10.1080/03610926.2013.766341

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Summary: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.
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ISSN:0361-0926
1532-415X
DOI:10.1080/03610926.2013.766341