Rank-Based Analysis of Unbalanced Repeated Measures Data

M. Mushfiqur Rashid, Joseph W. McKean, John D. Kloke

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; -Estimators; Interactions.

Full Text:

PDF


DOI: http://dx.doi.org/10.18187/pjsor.v8i3.538

Refbacks

  • There are currently no refbacks.




Copyright (c)

Title

Rank-Based Analysis of Unbalanced Repeated Measures Data

Keywords

Clinical trials; Dispersion function; -Estimators; -Estimators; Interactions.

Description

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.


Date

2012-07-01

Identifier


Source

Pakistan Journal of Statistics and Operation Research; Vol 8. No. 3, 2012



Print ISSN: 1816-2711 | Electronic ISSN: 2220-5810