Max–min experimental designs for comparing pairs of treatments with binary outcomes

Satya Prakash Singh; Ori Davidov

doi:10.1016/j.jspi.2026.106379

Max–min experimental designs for comparing pairs of treatments with binary outcomes

Satya Prakash Singh
, Ori Davidov

Department of Statistics

Research output: Contribution to journal › Article › peer-review

Abstract

In many experimental settings, the primary focus is the comparisons of pairs of treatments. This paper addresses the problem of optimally allocating experimental units to treatment groups when responses are binary. The proposed approach employs a power-based max–min approach that identifies the optimal experimental design in various experimental settings.

Original language	English
Article number	106379
Journal	Journal of Statistical Planning and Inference
Volume	243
DOIs	https://doi.org/10.1016/j.jspi.2026.106379
State	Published - Jul 2026

Bibliographical note

Publisher Copyright:
© 2026

Keywords

Binary response
Least favorable configuration
Maxi–min design
Power

ASJC Scopus subject areas

Statistics and Probability
Statistics, Probability and Uncertainty
Applied Mathematics

Cite this

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KW - Least favorable configuration

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KW - Power

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Max–min experimental designs for comparing pairs of treatments with binary outcomes

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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