Moving block bootstrap for analyzing longitudinal data

Hyunsu Ju

doi:10.1080/03610926.2013.766341

Moving block bootstrap for analyzing longitudinal data

Hyunsu Ju

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

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.

Original language	English (US)
Pages (from-to)	1130-1142
Number of pages	13
Journal	Communications in Statistics - Theory and Methods
Volume	44
Issue number	6
DOIs	https://doi.org/10.1080/03610926.2013.766341
State	Published - Mar 19 2015
Externally published	Yes

Keywords

Longitudinal study
Moving block bootstrap

ASJC Scopus subject areas

Statistics and Probability

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10.1080/03610926.2013.766341

Cite this

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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.",

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year = "2015",

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Moving block bootstrap for analyzing longitudinal data

Abstract

Keywords

ASJC Scopus subject areas

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