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Activity Number: 188 - Contributed Poster Presentations: Section on Nonparametric Statistics
Type: Contributed
Date/Time: Monday, July 30, 2018 : 10:30 AM to 12:20 PM
Sponsor: Section on Nonparametric Statistics
Abstract #327270
Title: Randomization Tests in Randomized Clinical Trials: Beyond Population
Author(s): Yanying Wang and Diane Uschner* and William Fisher Rosenberger
Companies: George Mason University and RWTH Aachen University and George Mason University
Keywords: randomization tests; permutation tests; randomization model; population model; null hypothesis of independence
Abstract:

We scrutinize randomization tests, a hypothesis testing approach which draws conclusions about the presence of treatment effects instead of making inference in terms of population parameters. Its merits have not been fully recognized ever though the dawn of incorporating randomization in the design and analysis of experiments was pioneered by Sir R. A. Fisher in the 1920s. Today, the term randomization test is used in many places often interchangeably with permutation test. While permutation tests are described as "distribution-free", as we will reveal, the method has its basis in the population model, and thus are fundamentally different from randomization-based approaches. Also, we give a general model that incorporates both randomization tests and permutation tests as special cases. We conclude that the simple, intuitive randomization test mitigates the ethical issue in randomized clinical trials, conforms to the experimental context, and provides assessment beyond the constraints of the population model.


Authors who are presenting talks have a * after their name.

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