Group Sequential Test for Two‐Sample Ordinal Outcome Measures

Group sequential trials include interim monitoring points to potentially reach futility or efficacy decisions early. This approach to trial design can safeguard patients, provide efficacious treatments for patients early, and save money and time. Group sequential methods are well developed for bell-shaped continuous, binary, and time-to-event outcomes. In this paper, we propose a group sequential design using the Mann-Whitney-Wilcoxon test for general two-sample ordinal data. We establish that the proposed test statistic has asymptotic normality and that sequential statistics satisfy the assumptions of Brownian motion. We also include results of finite sample simulation studies that show our proposed approach has the advantage over existing methods for controlling Type I errors while maintaining power for small sample sizes. A real data set is used to illustrate the proposed method and a sample size calculation approach is proposed for designing new studies.

Authors

Institutions

Publication Details

Journal
Statistics in Medicine
Published
2025-03-15
DOI
https://doi.org/10.1002/sim.70053
Citations
1
Primary Topic
Statistical Methods in Clinical Trials
Type
article
Field-Weighted Citation Impact
2.63

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Group Sequential Test for Two‐Sample Ordinal Outcome Measures

Ryan Simmons, Jesse D. Troy, Yuan Wu, Baoshan Zhang
1 citations
Statistics in Medicine
Statistical Methods in Clinical Trials
2.63
article

Group Sequential Test for Two‐Sample Ordinal Outcome Measures

Ryan Simmons, Jesse D. Troy, Yuan Wu, Baoshan Zhang
article en
1 citations

Abstract

Group sequential trials include interim monitoring points to potentially reach futility or efficacy decisions early. This approach to trial design can safeguard patients, provide efficacious treatments for patients early, and save money and time. Group sequential methods are well developed for bell-shaped continuous, binary, and time-to-event outcomes. In this paper, we propose a group sequential design using the Mann-Whitney-Wilcoxon test for general two-sample ordinal data. We establish that the proposed test statistic has asymptotic normality and that sequential statistics satisfy the assumptions of Brownian motion. We also include results of finite sample simulation studies that show our proposed approach has the advantage over existing methods for controlling Type I errors while maintaining power for small sample sizes. A real data set is used to illustrate the proposed method and a sample size calculation approach is proposed for designing new studies.

Statistics in MedicineVol. 44(6)
Duke University (US), Thermo Fisher Scientific (United States) (US)
National Cancer Institute
Openalex Percentile: Top 14%
Statistical Methods in Clinical Trials
2.63
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Group Sequential Test for Two‐Sample Ordinal Outcome Measures — Ryan Simmons, Jesse D. Troy, et al. · Statistics in Medicine (2025) | TGRS Research Map | TGRS