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Related Experiment Videos

The false positive therapeutic trial.

Paul Knipschild1

  • 1Department of General Practice, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands. Paul.Knipschild@HAG.UniMass.NL

Journal of Clinical Epidemiology
|January 28, 2003
PubMed
Summary

This article explains how biases in clinical trials can lead to false positive results. It details methods to achieve positive outcomes, even with weak supporting data, across all trial phases.

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Area of Science:

  • Clinical trial methodology
  • Research integrity
  • Biostatistics

Background:

  • Many published positive randomized clinical trials may be false positives.
  • Understanding the prevalence of false positives is crucial for evidence-based medicine.

Purpose of the Study:

  • To elucidate methods for achieving positive clinical trial outcomes, irrespective of data support.
  • To identify and explain deliberate and less deliberate biases in trial design and reporting.

Main Methods:

  • The article reviews common biases across all stages of a clinical trial.
  • It examines biases in the introduction, patient selection, methods, results reporting, and data interpretation.

Main Results:

  • Specific techniques are described that can inflate the likelihood of a positive trial result.
  • These methods can be applied intentionally or unintentionally throughout the research process.

Conclusions:

  • Awareness of these biases is essential for researchers and readers of clinical trial literature.
  • Critical appraisal of trial design and reporting is necessary to distinguish true from false positive findings.

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