Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Robust analysis of variance with Turbo Pascal.

J F Reed1

  • 1Research Department, Lehigh Valley Hospital Center, Allentown, PA 18105.

Computer Methods and Programs in Biomedicine
|December 1, 1990
PubMed
Summary

This study introduces a robust analysis of variance program written in Turbo Pascal. The software provides a reliable method for statistical analysis in research.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Circumferential resection margin involvement after laparoscopic abdominoperineal excision for rectal cancer.

Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland·2011
Same author

Factors influencing postoperative adverse events after Hartmann's reversal.

Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland·2011
Same author

Is there a post-PPH syndrome?

Techniques in coloproctology·2009
Same author

Improved postoperative outcomes with stentless aortic valve: a community hospital experience.

Heart (British Cardiac Society)·2003
Same author

Readmissions after colorectal surgery cannot be predicted.

Diseases of the colon and rectum·2001
Same author

Rectal prolapse: a search for the "best" operation.

The American surgeon·2001

Area of Science:

  • Statistics
  • Computer Science
  • Scientific Computing

Background:

  • Analysis of variance (ANOVA) is a fundamental statistical technique.
  • Implementing robust statistical methods requires specialized software.
  • Traditional ANOVA methods can be sensitive to violations of assumptions.

Purpose of the Study:

  • To present a robust analysis of variance (ANOVA) program.
  • To offer a reliable computational tool for statistical analysis.
  • To facilitate the application of robust statistical methods in research.

Main Methods:

  • Development of a program using Turbo Pascal.
  • Implementation of robust statistical algorithms for ANOVA.
  • Inclusion of a typical data file for demonstration.

Main Results:

  • A functional Turbo Pascal program for robust ANOVA is provided.
  • The program listing is available for review and adaptation.
  • Example output demonstrates the program's analytical capabilities.

Conclusions:

  • The presented Turbo Pascal program offers a robust approach to ANOVA.
  • This tool enhances the reliability of statistical analysis.
  • Researchers can utilize this program for more dependable data interpretation.

Related Experiment Videos