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Predicting Potential Placebo Effect in Drug Treated Subjects

Author

Listed:
  • Petkova Eva

    (New York University)

  • Tarpey Thaddeus

    (Wright State University)

  • Govindarajulu Usha

    (Brigham and Women’s Hospital, Harvard University Medical Center)

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.

Suggested Citation

  • Petkova Eva & Tarpey Thaddeus & Govindarajulu Usha, 2009. "Predicting Potential Placebo Effect in Drug Treated Subjects," The International Journal of Biostatistics, De Gruyter, vol. 5(1), pages 1-27, July.
    • Handle: RePEc:bpj:ijbist:v:5:y:2009:i:1:n:23
    DOI: 10.2202/1557-4679.1152
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    References listed on IDEAS

    as
    1. Thaddeus Tarpey, 2003. "Estimating the average slope," Journal of Applied Statistics, Taylor & Francis Journals, vol. 30(4), pages 389-395.
    2. Irving Kirsch & Brett J Deacon & Tania B Huedo-Medina & Alan Scoboria & Thomas J Moore & Blair T Johnson, 2008. "Initial Severity and Antidepressant Benefits: A Meta-Analysis of Data Submitted to the Food and Drug Administration," PLOS Medicine, Public Library of Science, vol. 5(2), pages 1-9, February.
    3. Bernard D. Flury, 1993. "Estimation of Principal Points," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 42(1), pages 139-151, March.
    4. Bengt Muthén & Kerby Shedden, 1999. "Finite Mixture Modeling with Mixture Outcomes Using the EM Algorithm," Biometrics, The International Biometric Society, vol. 55(2), pages 463-469, June.
    5. Tarpey T. & Petkova E. & Ogden R.T., 2003. "Profiling Placebo Responders by Self-Consistent Partitioning of Functional Data," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 850-858, January.
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