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

Dependence, hyper-dependence and hypothesis testing in clinical trials.

Lemuel A Moyé1, Sarah Baraniuk

  • 1University of Texas School of Public Health, 1200 Herman Pressler E815, Houston, Texas 77025, USA. Lemuel.A.Moye@uth.tmc.edu

Contemporary Clinical Trials
|July 22, 2006
PubMed
Summary

Clinical trial investigators can now conserve statistical error rates when choosing between multiple endpoint analyses. This method ensures reliable, confirmatory findings by properly accounting for analysis dependencies.

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

Applications of Covariate Adjusted Nonparametric Methods to CCTRN Clinical Trials.

Communications in statistics. Case studies, data analysis and applications·2023
Same author

Cost-effectiveness evaluation of the PROPPR trial transfusion protocols.

Transfusion·2020
Same author

Factors associated with self-reported anal cancer screening history in men who have sex with men.

Sexual health·2018
Same author

Outcomes after concomitant traumatic brain injury and hemorrhagic shock: A secondary analysis from the Pragmatic, Randomized Optimal Platelets and Plasma Ratios trial.

The journal of trauma and acute care surgery·2017
Same author

A phase II clinical study to assess the feasibility of self and partner anal examinations to detect anal canal abnormalities including anal cancer.

Sexually transmitted infections·2017
Same author

Management of blunt cerebrovascular injury (BCVI) in the multisystem injury patient with contraindications to immediate anti-thrombotic therapy.

Injury·2017

Area of Science:

  • Biostatistics
  • Clinical Trial Design
  • Statistical Methodology

Background:

  • Endpoint selection is critical in clinical trials, but choosing the analysis method presents similar challenges.
  • Multiple valid analyses may exist for a single trial endpoint, complicating interpretation.
  • Ambiguous analysis choices can lead to unreliable or unsatisfactory trial conclusions.

Purpose of the Study:

  • To present a statistical procedure for managing multiple endpoint analyses in clinical trials.
  • To conserve Type I error rates when several prospectively identified analyses are performed.
  • To enable confirmatory conclusions from clinical trials with a single endpoint and multiple analyses.

Main Methods:

  • Utilizing conditional probability to manage competing endpoint analyses.

Related Experiment Videos

  • Accounting for high dependence levels among different analysis methods.
  • Implementing a procedure for prospectively identified and carried out analyses.
  • Main Results:

    • The proposed procedure allows for practicable Type I error levels for each analysis.
    • The method successfully conserves the overall familywise Type I error rate.
    • This approach facilitates confirmatory, rather than exploratory, trial findings.

    Conclusions:

    • A conditional probability procedure effectively addresses the challenge of multiple endpoint analyses.
    • This method ensures statistical rigor and supports robust conclusions in clinical trial design.
    • Pre-specifying analyses and employing this procedure leads to confirmatory results.