Determining Differences in Rates Corresponding to a Given Significance Level.

Abstract

The well-known Chi-square test can be used to determine whether the difference in two rates is statistically significant, and if so, at what level of significance. This paper discusses the related question of how large a difference in rates must be (when one rate is held constant) in order to show statistical significance at a given level of significance. An illustrative example, adapted from data appearing in the biostatistical literature, is provided.

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Document Details

Document Type
Technical Report
Publication Date
Sep 04, 1987
Accession Number
ADA185004

Entities

People

  • Allen R Miller
  • Martin Feuerman

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Aviation Medicine
  • Chi Square Test
  • Classification
  • Equations
  • Literature
  • Military Research
  • Motion Sickness
  • New Jersey
  • New York
  • Quadratic Equations
  • Recovery
  • Security
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.