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: Academic Medical Center Amsterdam, Department Biostatistics and Epidemiology
Toine F. Cleophas: Technical University

Chapter Chapter 12 in Statistics Applied to Clinical Trials, 2006, pp 141-150 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 Line; Efficacy Variable; Residual Term; Residual Standard Deviation; Accelerate Failure Time Model (search for similar items in EconPapers)
Date: 2006
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4020-4650-6_12

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DOI: 10.1007/978-1-4020-4650-6_12

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