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Defining Responders and Non-responders

  • I. Aban
  • G. Cutter
Part of the Topics in Neuroscience book series (TOPNEURO)

Abstract

A physician in a clinic would typically like an answer to the question: Who will benefit from this treatment? In particular, will this patient benefit from this treatment? In an effort to answer the question, astute clinicians observe patients serially; in other words, they will try a treatment on the patient and then adjust the therapy if his or her condition does not respond. Although the sample size in this experiment is n = 1, the observations collected over time for this patient and others provide a knowledge base and have led clinicians toward a major understanding of certain treatments. Often, and historically, these understandings, taken collectively, have informed practice standards. However, this approach runs the risk of underestimating the extent of unsuccessful treatments, due to a failure to examine those patients who do not return.

Keywords

Positive Predictive Value Multiple Sclerosis Patient Risk Ratio Expand Disability Status Scale Magnetic Resonance Imaging Lesion 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Silverman W (1986) Human experimentation: a guided step into the unknown. Oxford University Press, New YorkGoogle Scholar
  2. 2.
    Riise T, Nortvedt MW, Ascherio A (2003) Smoking is a risk factor for multiple sclerosis. Neurology 61(8): 1122–1124PubMedGoogle Scholar

Copyright information

© Springer-Verlag Italia 2007

Authors and Affiliations

  • I. Aban
    • 1
  • G. Cutter
    • 1
  1. 1.Department of BiostatisticsUniversity of Alabama at BirminghamBirminghamUSA

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