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

A comparison of group sequential methods for binary longitudinal data.

Bart Spiessens1, Emmanuel Lesaffre, Geert Verbeke

  • 1Biostatistical Center, Catholic University of Leuven, U.Z. St.-Rafaël, Kapucijnenvoer 35, B-3000 Leuven, Belgium.

Statistics in Medicine
|February 19, 2003
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

Evaluation of surrogate endpoints for survival outcomes using the surrogate package in R.

Computer methods and programs in biomedicine·2026
Same author

Robust median regression for count data with general lower truncation using a contaminated discrete Weibull model.

The international journal of biostatistics·2026
Same author

Addressing outliers in mixed-effects logistic regression: a more robust modeling approach.

Journal of applied statistics·2026
Same author

Focused information criteria for model selection - a Bayesian perspective.

Journal of applied statistics·2026
Same author

Corrigendum to "Development of a short version of the Delirium Observation Screening Scale (s-DOSS): A psychometric validation study" [Int. J. Nurs. Stud. volume 177, May 2026, 105362].

International journal of nursing studies·2026
Same author

Immunogenicity and Safety of the ExPEC9V <i>Escherichia coli</i> Vaccine Co-Administered with a High-Dose Influenza Vaccine in Older Adults: A Placebo-Controlled, Randomized, Phase 3 Study.

Vaccines·2026
Same journal

A Mixture of Distributed Lag Non-Linear Models to Account for Spatially Heterogeneous Exposure-Lag-Response Associations.

Statistics in medicine·2026
Same journal

Practical Considerations for Gaussian Process Modeling for Causal Inference in Quasi-Experimental Studies With Panel Data.

Statistics in medicine·2026
Same journal

Covariate Adjustment for Wilcoxon Two Sample Statistic and Test.

Statistics in medicine·2026
Same journal

Beyond Fixed Thresholds: Optimizing Summaries of Wearable Device Data via Piecewise Linearization of Quantile Functions.

Statistics in medicine·2026
Same journal

A Causal Framework for Evaluating the Total Effect of Strategies Aiming to Expand Screening and to Improve Outcomes.

Statistics in medicine·2026
Same journal

Causal Effects on Nonterminal Event Time With Application to Antibiotic Usage and Future Resistance.

Statistics in medicine·2026
See all related articles

This study compares two methods for interim analyses in repeated binary measurements, crucial for early trial termination. The logistic random-effects model and generalized estimating equations show different operating characteristics for ethical and economic trial management.

Area of Science:

  • Biostatistics
  • Clinical Trials
  • Longitudinal Data Analysis

Background:

  • Interim analyses enable early trial termination for ethical and economic reasons.
  • Repeated measurements studies with binary outcomes present unique analytical challenges.
  • Comparing statistical approaches is vital for robust clinical trial design.

Purpose of the Study:

  • To compare the operating characteristics of two distinct methods for interim analyses in binary repeated measurements.
  • To evaluate a subject-specific approach against a population-averaged approach for longitudinal binary data.
  • To provide insights into method selection for efficient and ethical clinical trial conduct.

Main Methods:

  • Comparison of a logistic random-effects model (subject-specific) with generalized estimating equations (population-averaged).

Related Experiment Videos

  • Utilizing simulation studies to assess method performance.
  • Application to a real-world randomized clinical trial for toenail fungal infection.

    • Main Results:

    • The logistic random-effects model and generalized estimating equations exhibit differing operating characteristics.
    • Simulations reveal performance variations under specific conditions relevant to binary longitudinal data.
    • The choice of method impacts the efficiency and interpretation of interim analyses.

    Conclusions:

    • The selection between subject-specific and population-averaged models for interim analyses in binary repeated measures studies is critical.
    • Understanding method operating characteristics aids in optimizing trial conduct for ethical and economic benefits.
    • The findings offer guidance for statisticians and researchers designing and analyzing longitudinal clinical trials.