An efficient allocation in group sequential tests for the linear mixed effects model

Bernard Cerutti; Toufik Zoubeidi

doi:10.1081/STA-120018553

An efficient allocation in group sequential tests for the linear mixed effects model

Bernard Cerutti, Toufik Zoubeidi

Department of Analytics in the Digital Era

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

1 Citation (Scopus)

Abstract

In the context of linear mixed effects models, we derive an asymptotically efficient group sequential testing procedure fitted with a data dependent allocation rule for comparing the effects of two treatments. The allocation is designed so as to favor procedures that stop early while allocating less patients to the inferior treatment. A simulation study is used to compare the performance of the proposed procedure to those of four standard procedures.

Original language	English
Pages (from-to)	585-599
Number of pages	15
Journal	Communications in Statistics - Theory and Methods
Volume	32
Issue number	3
DOIs	https://doi.org/10.1081/STA-120018553
Publication status	Published - Mar 2003

Keywords

Allocation rules
Asymptotic efficiency
Clinical trials
Group sequential tests
Linear mixed effects model

ASJC Scopus subject areas

Statistics and Probability

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10.1081/STA-120018553

Cite this

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abstract = "In the context of linear mixed effects models, we derive an asymptotically efficient group sequential testing procedure fitted with a data dependent allocation rule for comparing the effects of two treatments. The allocation is designed so as to favor procedures that stop early while allocating less patients to the inferior treatment. A simulation study is used to compare the performance of the proposed procedure to those of four standard procedures.",

keywords = "Allocation rules, Asymptotic efficiency, Clinical trials, Group sequential tests, Linear mixed effects model",

author = "Bernard Cerutti and Toufik Zoubeidi",

note = "Funding Information: This research was supported by a grant from the Swiss National Research Foundation (No. 21-40447.94).",

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AB - In the context of linear mixed effects models, we derive an asymptotically efficient group sequential testing procedure fitted with a data dependent allocation rule for comparing the effects of two treatments. The allocation is designed so as to favor procedures that stop early while allocating less patients to the inferior treatment. A simulation study is used to compare the performance of the proposed procedure to those of four standard procedures.

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KW - Group sequential tests

KW - Linear mixed effects model

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An efficient allocation in group sequential tests for the linear mixed effects model

Abstract

Keywords

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