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[Confidence intervals instead of p-values].

H S Kelbaek1, T Gjørup, J Hilden

  • 1Kardiologisk Laboratorium, Rigshospitalet, København.

Ugeskrift for Laeger
|September 10, 1990
PubMed
Summary
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Confidence intervals are increasingly expected in scientific publications. They offer more insight into the potential population effect size than traditional p-values, aiding statistical interpretation.

Area of Science:

  • Statistics
  • Medical Research

Context:

  • Scientific journals increasingly require confidence intervals for statistical findings.
  • Confidence intervals provide a range for estimating population effect sizes.

Purpose:

  • To explain the importance of confidence intervals over p-values.
  • To demonstrate methods for calculating confidence intervals using medical data.

Summary:

  • Confidence intervals are crucial for accurately representing statistical findings in research.
  • The abstract details the calculation of confidence intervals with examples from medical studies.

Impact:

  • Enhances the statistical rigor and interpretability of scientific articles.
  • Provides practical guidance for researchers in medical fields on reporting statistical significance.

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