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[Basic concepts in epidemiology and statistics for reading controlled clinical trials].

Evandro Silva Freire Coutinho1, Geraldo Marcelo da Cunha

  • 1Departamento de Epidemiologia e Métodos Quantitativos em Saúde, Escola Nacional de Saúde Pública. evandro@ensp.fiocruz.br

Revista Brasileira De Psiquiatria (Sao Paulo, Brazil : 1999)
|June 18, 2005
PubMed
Summary

This study explains fundamental epidemiology and statistics for clinical trials. It clarifies measures of association, statistical tests, and confidence intervals, addressing common misinterpretations for better trial understanding.

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Area of Science:

  • Epidemiology
  • Biostatistics
  • Clinical Trial Design

Context:

  • Controlled clinical trials are essential for medical research.
  • Understanding trial design and results requires statistical knowledge.
  • Misinterpretations of statistical concepts can affect clinical decision-making.

Purpose:

  • To present essential epidemiology and statistics for clinical trial comprehension.
  • To explain key statistical concepts with practical examples.
  • To discuss and clarify common misinterpretations of statistical measures.

Summary:

  • Explains basic epidemiology and statistics relevant to controlled clinical trials.
  • Covers measures of association and effect, statistical significance tests, p-value, confidence intervals, and statistical power.

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  • Highlights and discusses frequent misinterpretations of these statistical concepts.

    • Impact:

    • Enhances understanding of controlled clinical trial design and results.
    • Provides a foundation for accurate interpretation of clinical trial data.
    • Aims to reduce statistical misinterpretations in medical research and practice.