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

Comparing incomplete paired binomial data under non-random mechanisms.

S C Choi1, D M Stablein

  • 1Medical College of Virginia, Virginia Commonwealth University, Richmond 23298-0032.

Statistics in Medicine
|September 1, 1988
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

Correlations between skeletal maturity and dental calcification stages in Korean children.

European journal of paediatric dentistry·2022
Same author

Customized surgical guide with a bite block and retraction arm for a deeply impacted odontoma; a technical note.

Journal of stomatology, oral and maxillofacial surgery·2020
Same author

Arginine deprivation inhibits pancreatic cancer cell migration, invasion and EMT via the down regulation of Snail, Slug, Twist, and MMP1/9.

Journal of physiology and biochemistry·2019
Same author

An easy way to secure catheter in position during marsupialization procedure.

Journal of stomatology, oral and maxillofacial surgery·2018
Same author

Novel device-based acne treatments: comparison of a 1450-nm diode laser and microneedling radiofrequency on mild-to-moderate acne vulgaris and seborrhoea in Korean patients through a 20-week prospective, randomized, split-face study.

Journal of the European Academy of Dermatology and Venereology : JEADV·2017
Same author

Efficacy of combination therapy with probiotics and mosapride in patients with IBS without diarrhea: a randomized, double-blind, placebo-controlled, multicenter, phase II trial.

Neurogastroenterology and motility·2015
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 addresses incomplete data in paired experiments comparing two treatments. Tests using all available data are more efficient, with McNemar

Area of Science:

  • Biostatistics
  • Clinical Trials Methodology
  • Statistical Inference

Background:

  • Paired experiments comparing two treatments often suffer from incomplete data.
  • Data incompleteness can arise from non-random mechanisms, potentially related to treatment or outcome.
  • Accurate statistical analysis requires addressing these non-random missing data patterns.

Purpose of the Study:

  • To evaluate methods for testing the equality of two correlated binomial proportions with non-randomly incomplete data.
  • To identify robust and efficient statistical tests under various missing data scenarios.

Main Methods:

  • Consideration of several statistical procedures for incomplete paired binomial data.
  • Comparison of tests utilizing all available data versus those using only complete pairs.

Related Experiment Videos

  • Evaluation of McNemar's test and likelihood-based tests for robustness.

    • Main Results:

    • Tests incorporating all available data demonstrate higher efficiency than those using partial data.
    • McNemar's test (using complete pairs) and the likelihood test show robustness in certain scenarios.
    • No single test is efficient when missing data mechanisms are not independent.

    Conclusions:

    • Utilizing all available data is crucial for efficient analysis of correlated binomial proportions.
    • McNemar's and likelihood tests offer robust options for specific incomplete data situations.
    • The presence of non-independent missingness mechanisms significantly challenges test efficiency.