Multiple comparisons with a control in repeated measures incomplete block designs using R-estimators

✍ Scribed by M.Mushfiqur Rashid

• Book ID: 104340544
• Publisher: Elsevier Science
• Year: 1998
• Tongue: English
• Weight: 155 KB
• Volume: 70
• Category: Article
• ISSN: 0378-3758
• DOI: 10.1016/s0378-3758(97)00191-2

✦ Synopsis

New multiple comparison with a control (MCC) procedures are developed in repeated measures incomplete block design settings based on R-estimates. It is assumed that the errors within each subject are exchangeable random variables. The R-estimators of the treatment effects are obtained by minimizing a sum of Jaeckel (1972)-type dispersion functions. Based on the R-estimators, Dunnett-type multiple comparison procedures are developed for comparing test-treatments with a control-treatment. Under exchangeable errors, it is demonstrated that for Cox-type designs, the new procedures are more e cient than the existing nonparametric procedures. The new MCC procedures are applied to a data set in a clinical trial which consists of patients with reversible obstructive pulmonary disease.