Premium
Pairwise Comparisons in Each of Several Groups with Heterogenous Group Variances
Author(s) -
Cheung S.H.,
Wu K.H.,
Quek A.L.
Publication year - 2003
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.200390015
Subject(s) - pairwise comparison , homogeneous , statistics , econometrics , variance (accounting) , factor (programming language) , computer science , mathematics , economics , accounting , combinatorics , programming language
Pairwise comparison procedures are frequently applied to analyze experimental results. In particular, practitioners in the area of medical researches often encounter situations which require these statistical techniques to compare various treatments. In this article, we focus on pairwise comparison procedures in a two‐factor design, where comparisons of one factor are made simultaneously for each level of another factor. For example, several new drugs to treat a certain cancer are being compared for both male and female patients. Previous research efforts were mainly devoted to models with homogeneous variances. The current paper is to address more common scenario where group variances are heterogeneous.