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

Testing whether an identified treatment is best.

E M Laska1, M J Meisner

  • 1Statistical Sciences & Epidemiology Division, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, New York 10962.

Biometrics
|December 1, 1989
PubMed
Summary
This summary is machine-generated.

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

The prevalence and correlates of untreated serious mental illness.

Health services research·2002
Same author

Statistical cost-effectiveness analysis of two treatments based on net health benefits.

Statistics in medicine·2001
Same author

Assessing the onset of relief of a treatment for migraine.

Cephalalgia : an international journal of headache·2001
Same author

Power and sample size in cost-effectiveness analysis.

Medical decision making : an international journal of the Society for Medical Decision Making·1999
Same author

Ratio-based and net benefit-based approaches to health care resource allocation: proofs of optimality and equivalence.

Health economics·1999
Same author

The usefulness of average cost-effective ratios.

Health economics·1997

The min test efficiently identifies the best treatment among several options. This statistical method is optimal for comparing a new treatment against multiple existing ones, ensuring reliable results.

Area of Science:

  • Biostatistics
  • Statistical Inference
  • Clinical Trial Design

Background:

  • Comparing an identified treatment against multiple alternatives is a common challenge in research.
  • Existing methods may lack optimality or require specific distributional assumptions.

Purpose of the Study:

  • To introduce and evaluate the 'min test' for determining if an identified treatment is superior to K other treatments.
  • To establish the optimality of the min test under mild regularity conditions.

Main Methods:

  • The min test is defined as an alpha-level procedure that rejects the null hypothesis when individual comparisons also reject.
  • The min test is shown to be the likelihood ratio test in the normal case with t statistics.
  • Optimality is demonstrated for monotone nondecreasing test statistics, irrespective of their covariance structure.

Related Experiment Videos

Main Results:

  • The min test is an optimal alpha-level test for comparing an identified treatment against K alternatives.
  • Sample size tables are provided for achieving various power levels (0.5 to 0.95) using the min test.
  • The test is applicable with Student's t and Wilcoxon statistics.

Conclusions:

  • The min test provides a statistically optimal framework for identifying the best treatment in comparative studies.
  • The provided sample size tables facilitate practical application and power calculations in research design.