Main Article Content
Abstract
In this article, we have developed a rank (intra-subject) based analysis of clinical trials with unbalanced repeated measures data. We assume that the errors within each patient are exchangeable and continuous random variables. This rank-based inference is valid when the unbalanced data are missing either completely at random or by design. A drop in dispersion test is developed for general linear hypotheses. A numerical example is given to illustrate the procedure.
Keywords
Clinical trials
Dispersion function
-Estimators
Interactions.
Article Details
Authors who publish with this journal agree to the following License
CC BY: This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
How to Cite
Rashid, M. M., McKean, J. W., & Kloke, J. D. (2012). Rank-Based Analysis of Unbalanced Repeated Measures Data. Pakistan Journal of Statistics and Operation Research, 8(3), 719-735. https://doi.org/10.18187/pjsor.v8i3.538
