Hostname: page-component-7479d7b7d-wxhwt Total loading time: 0 Render date: 2024-07-12T02:08:38.889Z Has data issue: false hasContentIssue false
  • English
  • Français

Take Two Orthogonals and Call Me in the Morning

Published online by Cambridge University Press:  02 January 2015

David Birnbaum
David Birnbaum*
Affiliation:
Applied Epidemiology, Sidney, British Columbia, Canada
*
Applied Epidemiology, 609 Cromar Road, Sidney, British Columbia V8L 5M5, Canada
Get access Rights & Permissions [Opens in a new window]

Abstract

Analysis of variance (ANOVA) is used to prevent inflated type I error when hypothesis testing involves comparing more than two groups. If an ANOVA result indicates a statistically significant difference exists somewhere within, the next task is to discover exactly which combination or combinations of those groups account for the significant difference. Among many methods available for that exploration, orthogonal contrasts and relatively simple graphs are noteworthy (Infect Control Hosp Epidemiol 2003;24:544-547).

Type
Statistics for Hospital Epidemiology
Information
Infection Control & Hospital Epidemiology , Volume 24 , Issue 7 , July 2003 , pp. 544 - 547
Copyright
Copyright © The Society for Healthcare Epidemiology of America 2003

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1.Norman, GR, Streiner, DL. Biostatistics: The Bare Essentials, 2nd ed. Hamilton, Ontario, Canada: B. C. Decker; 2000.Google Scholar
2.Kaiser, DL. Applied statistics in infection control: sources of variation in data. Infection Control 1981;2:63–66.Google Scholar
3.Veney, JE. Applied statistics in infection control: testing the differences between means. Infection Control 1980;1:264–269.CrossRefGoogle Scholar
4.Kaiser, D, Veney, JE. Analysis of variance with group interactions. Infection Control 1981;2:333–336.CrossRefGoogle ScholarPubMed
5.Rao, PV. Statistical Research Methods in the Life Sciences. Pacific Grove, CA: Brooks/Cole Publishing; 1998.Google Scholar