Authors: Sailer, Oliver
Title: An exact upper limit for the variance bias in the carry-over model with correlated errors
Language (ISO): en
Abstract: The analysis of crossover designs assuming i.i.d. errors leads to biased variance estimates whenever the true covariance structure is not spherical. As a result, the OLS F-Test for treatment differences is not valid. Bellavance et al. (Biometrics 52:607-612, 1996) use simulations to show that a modified F-Test based on an estimate of the within subjects covariance matrix allows for nearly unbiased tests. Kunert and Utzig (JRSS B 55:919-927, 1993) propose an alternative test that does not need an estimate of the covariance matrix. However, for designs with more than three observations per subject Kunert and Utzig (1993) only give a rough upper bound for the worst-case variance bias. This may lead to overly conservative tests. In this paper we derive an exact upper limit for the variance bias due to carry-over for an arbitrary number of observations per subject. The result holds for a certain class of highly efficient carry-over balanced designs.
Subject Headings: bias
correlated errors
crossover designs
fixed effects model
upper limit
variance estimation
Issue Date: 2009-04-30T10:31:47Z
Appears in Collections:Sonderforschungsbereich (SFB) 475

Files in This Item:
File Description SizeFormat 
tr01-09.pdfDNB201.18 kBAdobe PDFView/Open

This item is protected by original copyright

All resources in the repository are protected by copyright.