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Activity Number: 427
Type: Contributed
Date/Time: Tuesday, August 11, 2015 : 2:00 PM to 3:50 PM
Sponsor: Section on Nonparametric Statistics
Abstract #314933 View Presentation
Title: Rank Repeated Measures Analysis of Covariance
Author(s): Chunpeng Fan* and Donghui Zhang
Companies: Sanofi U.S. Inc. and Sanofi U.S. Inc.
Keywords: ANCOVA ; ANOVA-type test ; Generalized Estimating Equations ; GEE ; Longitudinal Data ; Wald-type test
Abstract:

When analyzing a response variable at the presence of both factors and covariates, with potentially correlated responses and violated assumptions of the normal residual or the linear relationship between the response and the covariates, rank-based tests can be an option for inferential procedures instead of the parametric repeated measures analysis of covariance (ANCOVA) models. This work derives a rank-based method for multi-way ANCOVA models with correlated responses. The generalized estimating equations (GEE) technique is employed to construct the proposed rank tests. Asymptotic properties of the proposed tests are derived. Simulation studies confirmed the performance of the proposed tests.

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