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

Conditional and unconditional confidence intervals following a group sequential test.

Xiaoyin Fan1, David L DeMets

  • 1Merck Research Laboratory, Merck & Co., Inc. West Point, Pennsylvania, USA. xiaoyin_fan@merck.com

Journal of Biopharmaceutical Statistics
|January 31, 2006
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

Human embryonic stem cell-derived immunity-and-matrix-regulatory cells promote endometrial repair and fertility restoration in IUA rats.

Stem cell research & therapy·2025
Same author

Response to Cleland and Anzar.

Clinical trials (London, England)·2025
Same author

Aspirin in primary prevention: Undue reliance on an uninformative trial led to misinformed clinical guidelines.

Clinical trials (London, England)·2025
Same author

Knowledge Mapping of Stem Cell Therapy for Premature Ovarian Insufficiency: A Bibliometric Analysis (2000-2023).

Current stem cell research & therapy·2025
Same author

Symptoms Burden as a Clinical Outcomes Assessment in Heart Failure Patients With Atrial Fibrillation.

JACC. Heart failure·2024
Same author

The Case for Access to Data Monitoring Committee Charters.

NEJM evidence·2024
Same journal

Correction.

Journal of biopharmaceutical statistics·2026
Same journal

Leveraging external controls in clinical trials: estimands, estimation, assumptions.

Journal of biopharmaceutical statistics·2026
Same journal

Special issue of nonclinical statistics in regulatory applications guest editors' notes.

Journal of biopharmaceutical statistics·2026
Same journal

Comparison of flexible parametric modeling and nonparametric methods to estimate restricted mean survival time: A simulation study.

Journal of biopharmaceutical statistics·2026
Same journal

Simulated treatment comparisons with jackknife pseudo values for estimating population-adjusted marginal treatment effects.

Journal of biopharmaceutical statistics·2026
Same journal

Sample sizes for randomized controlled trials utilizing Bayesian response adaptive randomization for continuous outcomes.

Journal of biopharmaceutical statistics·2026
See all related articles

Naive confidence intervals (CIs) are biased after group sequential tests. A new restricted conditional confidence interval (RCCI) improves conditional coverage probability and avoids issues with existing exact CIs.

Area of Science:

  • Statistics
  • Biostatistics
  • Clinical Trials

Background:

  • Group sequential tests are common in clinical trials for early stopping.
  • Naive confidence intervals (CIs) exhibit bias after group sequential testing.
  • Conditional coverage accuracy of CIs is crucial but often compromised by early stopping.

Purpose of the Study:

  • To evaluate the conditional coverage properties of naive and exact confidence intervals (CIs) after group sequential tests.
  • To propose a novel confidence interval method that improves conditional accuracy.
  • To address the limitations of existing conditional and unconditional CI methods.

Main Methods:

  • Analysis of naive confidence intervals (CIs) and existing exact CIs.
  • Development and application of a two-step restricted conditional confidence interval (RCCI).

Related Experiment Videos

  • Numerical comparisons of RCCI against other CI methods using conditional coverage probability.
  • Main Results:

    • Naive CIs show bias and inaccurate coverage after group sequential tests.
    • Existing exact CIs do not fully resolve conditional coverage issues.
    • The proposed RCCI significantly enhances conditional coverage probability.
    • RCCI minimizes undesirable properties associated with pure conditional CIs.

    Conclusions:

    • The restricted conditional confidence interval (RCCI) offers superior conditional coverage accuracy.
    • RCCI provides a more reliable confidence interval in group sequential settings.
    • RCCI represents an advancement over existing methods for confidence intervals in adaptive trials.