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

Predicting analysis times in randomized clinical trials.

E Bagiella1, D F Heitjan

  • 1Division of Biostatistics, Mailman School of Public Health, Columbia University, 622 W. 168th Street, New York, NY 10032, USA.

Statistics in Medicine
|July 6, 2001
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

Geographic variation and trends in prevalence of obesity among US adolescents, 2016-2021.

Public health·2023
Same author

Quantitative Evaluation of Medial Temporal Lobe Morphology in Children with Febrile Status Epilepticus: Results of the FEBSTAT Study.

AJNR. American journal of neuroradiology·2016
Same author

Determining the effects and challenges of incorporating genetic testing into primary care management of hypertensive patients with African ancestry.

Contemporary clinical trials·2016
Same author

The Impact of EBV Status on Characteristics and Outcomes of Posttransplantation Lymphoproliferative Disorder.

American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons·2015
Same author

High-dose corticosteroids with or without etanercept for the treatment of idiopathic pneumonia syndrome after allo-SCT.

Bone marrow transplantation·2012
Same author

Association of HLA polymorphisms with post-transplant lymphoproliferative disorder in solid-organ transplant recipients.

American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons·2011

Predicting the timing of interim analyses in clinical trials is crucial for managing logistical burdens. This study presents two model-based methods to accurately forecast these critical review points, aiding trial management.

Area of Science:

  • Clinical Trials
  • Biostatistics
  • Medical Research

Background:

  • Randomized clinical trials frequently incorporate interim analyses for ongoing data review by monitoring committees.
  • Failure-time endpoints often necessitate scheduling analyses around landmark events, such as a specific number of observed events.

Purpose of the Study:

  • To develop and illustrate accurate model-based methods for predicting the timing of interim analyses in clinical trials.
  • To address the logistical challenges posed by the scheduling of interim analyses.

Main Methods:

  • A point prediction method extrapolates cumulative mortality to estimate the date of a landmark event.
  • A Bayesian simulation scheme generates a predictive distribution for milestone times, providing prediction intervals.

Related Experiment Videos

Main Results:

  • The study demonstrates two distinct model-based approaches for forecasting interim analysis timing.
  • These methods provide both point predictions and predictive distributions for event-driven milestones.

Conclusions:

  • Accurate prediction of interim analysis timing is essential for efficient clinical trial management.
  • The presented model-based methods offer valuable tools for anticipating logistical needs during trials with failure-time endpoints.