Affordable Access

deepdyve-link deepdyve-link
Publisher Website

An application of linear mixed effects model to assess the agreement between two methods with replicated observations.

Authors
  • Roy, Anuradha
Type
Published Article
Journal
Journal of Biopharmaceutical Statistics
Publisher
Informa UK (Taylor & Francis)
Publication Date
Jan 01, 2009
Volume
19
Issue
1
Pages
150–173
Identifiers
DOI: 10.1080/10543400802535141
PMID: 19127473
Source
Medline
License
Unknown

Abstract

We study the problem of assessing the agreement between two methods with any number of replicated observations using linear mixed effects (LME) model with Kronecker product covariance structure in a doubly multivariate set-up. This method can also be used in the case of unbalanced designs when number of replications on each patient is unequal, as well as when the number of replications on each patient by respective methods is unequal. The model is implemented using the MIXED procedure of SAS. We demonstrate our proposed method with three real datasets.

Report this publication

Statistics

Seen <100 times