Predicting Potential Placebo Effect in Drug Treated Subjects
Petkova Eva,
Tarpey Thaddeus and
Govindarajulu Usha
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Petkova Eva: New York University
Tarpey Thaddeus: Wright State University
Govindarajulu Usha: Brigham and Women’s Hospital, Harvard University Medical Center
The International Journal of Biostatistics, 2009, vol. 5, issue 1, 27
Abstract:
Non-specific responses to treatment (commonly known as placebo response) are pervasive when treating mental illness. Subjects treated with an active drug may respond in part due to non-specific aspects of the treatment, i.e, those not related to the chemical effect of the drug. To determine the extent a subject responds due to the chemical effect of a drug, one must disentangle the specific drug effect from the non-specific placebo effect. This paper presents a unique statistical model that allows for the separate prediction of a specific effect and non-specific effects in drug treated subjects. Data from a clinical trial comparing fluoxetine to a placebo for treating depression is used to illustrate this methodology.
Keywords: longitudinal outcome; linear mixed effects models; BLUP; non-specific treatment effect; specific drug effect; allometric extension; principal components (search for similar items in EconPapers)
Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:bpj:ijbist:v:5:y:2009:i:1:n:23
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DOI: 10.2202/1557-4679.1152
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