Related Experiment Video
Updated: Jul 24, 2025

Assessment of Spontaneous Alternation, Novel Object Recognition and Limb Clasping in Transgenic Mouse Models of Amyloid-β and Tau Neuropathology
Published on: May 28, 2017
A novel longitudinal rank-sum test for multiple primary endpoints in clinical trials: Applications to
Abstract:
Neurodegenerative disorders such as Alzheimer's disease (AD) present a significant global health challenge, characterized by cognitive decline, functional impairment, and other debilitating effects. Current AD clinical trials often assess multiple longitudinal primary endpoints to comprehensively evaluate treatment efficacy. Traditional methods, however, may fail to capture global treatment effects, require larger sample sizes due to multiplicity adjustments, and may not fully exploit multivariate longitudinal data. To address these limitations, we introduce the Longitudinal Rank Sum Test (LRST), a novel nonparametric rank-based omnibus test statistic. The LRST enables a comprehensive assessment of treatment efficacy across multiple endpoints and time points without multiplicity adjustments, effectively controlling Type I error while enhancing statistical power. It offers flexibility against various data distributions encountered in AD research and maximizes the utilization of longitudinal data. Extensive simulations and real-data applications demonstrate the LRST's performance, underscoring its potential as a valuable tool in AD clinical trials. Nonparametrics, Global test, rank-sum-type test, U-Statistics.
Related Concept Videos
Friedman Two-way Analysis of Variance by Ranks
The Mantel-Cox Log-Rank Test
Wilcoxon Rank-Sum Test
Comparing the Survival Analysis of Two or More Groups
Wilcoxon Signed-Ranks Test for Median of Single Population
Clinical Trials
There are four phases in a clinical trial. A phase one...

