Testing for Treatment Effect in Multitreatment Case

In this paper the problem of testing for the presence/absence of a (multi-level)treatment effect is considered.A new test-statistic, essentially based on the same principles as the classical Kruskal-Wallis test, is introduced, and its theoretical properties are studied.Test-statistics for stochastic dominance problems are also studied.The good behaviour of the proposed test in terms of both significance level and power, with respect to other commonly used test procedures, is showed through a simulation study.Finally, an application to real data is provided.

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Publication Details

Journal
Statistica Sinica
Published
2025-05-29
DOI
https://doi.org/10.5705/ss.202024.0255
Primary Topic
Statistical Methods in Clinical Trials
Type
article
Field-Weighted Citation Impact
0.00
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article

Testing for Treatment Effect in Multitreatment Case

Livia De Giovanni, Ayoub Mounim, Pier Luigi Conti
Statistica Sinica
Statistical Methods in Clinical Trials
article

Testing for Treatment Effect in Multitreatment Case

Livia De Giovanni, Ayoub Mounim, Pier Luigi Conti
article en

Abstract

In this paper the problem of testing for the presence/absence of a (multi-level)treatment effect is considered.A new test-statistic, essentially based on the same principles as the classical Kruskal-Wallis test, is introduced, and its theoretical properties are studied.Test-statistics for stochastic dominance problems are also studied.The good behaviour of the proposed test in terms of both significance level and power, with respect to other commonly used test procedures, is showed through a simulation study.Finally, an application to real data is provided.

Statistica Sinica
Libera Università Internazionale degli Studi Sociali Guido Carli (IT)
Openalex Percentile: Top 88%
Statistical Methods in Clinical Trials
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