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 | |
| State | Published - Mar 19 2015 |
| Externally published | Yes |
Keywords
- Longitudinal study
- Moving block bootstrap
ASJC Scopus subject areas
- Statistics and Probability