Back to search
Publication

Smooth bootstrap methods for analysis of longitudinal data.

Abstract

In analysis of longitudinal data, the variance matrix of the parameter estimates is usually estimated by the 'sandwich' method, in which the variance for each subject is estimated by its residual products. We propose smooth bootstrap methods by perturbing the estimating functions to obtain 'bootstrapped' realizations of the parameter estimates for statistical inference. Our extensive simulation studies indicate that the variance estimators by our proposed methods can not only correct the bias of the sandwich estimator but also improve the confidence interval coverage. We applied the proposed method to a data set from a clinical trial of antibiotics for leprosy.

More information

Type
Journal Article
Author
Li Y
Wang Y
Year of Publication
2008
Journal
Statistics in medicine
Volume
27
Issue
7
Number of Pages
937-53
Date Published
2008 Mar 30
Language
eng
ISSN Number
0277-6715
DOI
10.1002/sim.3027
Alternate Journal
Stat Med
Publication Language
eng

More publications on: