Subgroup Analysis using Multiple Linear Regression: Confounding, Interaction, Synergism

Ton J. Cleophas, Aeilko H. Zwinderman and Toine F. Cleophas
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Ton J. Cleophas: European Interuniversity College of Pharmaceutical Medicine Lyon
Aeilko H. Zwinderman: European Interuniversity College of Pharmaceutical Medicine Lyon
Toine F. Cleophas: Technical University

Chapter Chapter 9 in Statistics Applied to Clinical Trials, 2002, pp 95-104 from Springer

Abstract: Abstract When the size of the study permits, important demographic or baseline value-defined subgroups of patients can be studied for unusually large or small efficacy responses; e.g. comparison of effects by age, sex; by severity or prognostic groups. Naturally, such analyses are not intended to “salvage” an otherwise negative study, but may be may be helpful in refining patient or dose selection for subsequent studies.1

Keywords: Linear Regression Model; Linear Regression Line; Efficacy Variable; Residual Term; Residual Standard Deviation (search for similar items in EconPapers)
Date: 2002
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DOI: 10.1007/978-94-010-0337-7_9

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