Moving Block Bootstrap for Analyzing Longitudinal Data.

Commun Stat Theory Methods

Department of Preventive Medicine and Community Health, The University of Texas Medical Branch, Galveston, Texas, USA.

Published: January 2015

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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4443935PMC
http://dx.doi.org/10.1080/03610926.2013.766341DOI Listing

Publication Analysis

Top Keywords

moving block
8
block bootstrap
8
bootstrap methods
8
bootstrap analyzing
4
analyzing longitudinal
4
longitudinal data
4
data longitudinal
4
longitudinal study
4
study subjects
4
subjects time
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!