Assessing differential drug effect.

D. A. Berry; M. L. Eaton; B. P. Ekholm; T. L. Fox

doi:10.2307/2531162

Assessing differential drug effect.

D. A. Berry, M. L. Eaton, B. P. Ekholm, T. L. Fox

Biostatistics

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

22 Scopus citations

Abstract

The regression effect gives a misleading impression of the relationship between drug or treatment effect and baseline measurement. We propose a method of adjusting for the regression effect; we also suggest a corresponding test for the differential drug effect. The likelihood ratio test for no differential drug effect is equivalent to a test for equality of variances, suggested by Pitman (1939, Biometrika 31, 9-12) and Morgan (1939, Biometrika 31, 13-19). The proposed adjustment and test are applied to an example of blood pressure data.

Original language	English (US)
Pages (from-to)	1109-1115
Number of pages	7
Journal	Biometrics
Volume	40
Issue number	4
DOIs	https://doi.org/10.2307/2531162
State	Published - Dec 1984

ASJC Scopus subject areas

Statistics and Probability
General Biochemistry, Genetics and Molecular Biology
General Immunology and Microbiology
General Agricultural and Biological Sciences
Applied Mathematics

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AB - The regression effect gives a misleading impression of the relationship between drug or treatment effect and baseline measurement. We propose a method of adjusting for the regression effect; we also suggest a corresponding test for the differential drug effect. The likelihood ratio test for no differential drug effect is equivalent to a test for equality of variances, suggested by Pitman (1939, Biometrika 31, 9-12) and Morgan (1939, Biometrika 31, 13-19). The proposed adjustment and test are applied to an example of blood pressure data.

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Assessing differential drug effect.

Abstract

ASJC Scopus subject areas

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