Moving block bootstrap for analyzing longitudinal data

Hyunsu Ju

Research output: Contribution to journalArticle

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 languageEnglish (US)
Pages (from-to)1130-1142
Number of pages13
JournalCommunications in Statistics - Theory and Methods
Volume44
Issue number6
DOIs
StatePublished - Mar 19 2015

Fingerprint

Moving Block Bootstrap
Bootstrap Method
Longitudinal Data
Resampling Methods
Block Method
Longitudinal Study
Asymptotic Properties
Replication
Simulation Study

Keywords

  • Longitudinal study
  • Moving block bootstrap

ASJC Scopus subject areas

  • Statistics and Probability

Cite this

Moving block bootstrap for analyzing longitudinal data. / Ju, Hyunsu.

In: Communications in Statistics - Theory and Methods, Vol. 44, No. 6, 19.03.2015, p. 1130-1142.

Research output: Contribution to journalArticle

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