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 simple Bayesian analysis of misclassified binary data with a validation substudy.

Gordon J Prescott1, Paul H Garthwaite

  • 1Department of Public Health, University of Aberdeen, UK.

Biometrics
|June 20, 2002
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

Maintaining musculoskeletal health using a behavioural therapy approach: a population-based randomised controlled trial (the MAmMOTH Study).

Annals of the rheumatic diseases·2021
Same author

Prevalence of secondary care multimorbidity in mid-life and its association with premature mortality in a large longitudinal cohort study.

BMJ open·2020
Same author

Development of Risk Prediction Equations for Incident Chronic Kidney Disease.

JAMA·2019
Same author

Impact of educational attainment on the association between social class at birth and multimorbidity in middle age in the Aberdeen Children of the 1950s cohort study.

BMJ open·2019
Same author

Geographical mobility of UK trainee doctors, from family home to first job: a national cohort study.

BMC medical education·2018
Same author

Evaluating service development in critical care: The impact of establishing a medical high dependency unit on intensive care unit workload, case mix, and mortality.

Journal of the Intensive Care Society·2018
Same journal

Fast penalized generalized estimating equations for large longitudinal functional datasets.

Biometrics·2026
Same journal

Causally-interpretable random-effects meta-analysis.

Biometrics·2026
Same journal

Statistical inference for mean function of partially observed functional time series.

Biometrics·2026
Same journal

Subgroup identification via Interaction Tree and Mixed Model for Repeated Measures with application to Alzheimer's disease.

Biometrics·2026
Same journal

Finite mixtures of linear quantile regressions with concomitant variables: a solution to endogeneity in longitudinal data modeling.

Biometrics·2026
Same journal

Discussion on "INTACT: a method for integration of longitudinal physical activity data from multiple sources" by Jingru Zhang, Erjia Cui, Hongzhe Li, and Haochang Shou.

Biometrics·2026
See all related articles

A novel two-stage Bayesian method efficiently analyzes case-control studies with measurement error. This approach uses a subset of accurate data to improve the analysis of error-prone variables.

Area of Science:

  • Biostatistics
  • Epidemiology
  • Statistical modeling

Background:

  • Case-control studies are crucial for disease research.
  • Measurement error in binary variables can bias results.
  • Accurate data for a subset is often available.

Purpose of the Study:

  • To develop a robust statistical method for case-control studies with binary measurement error.
  • To provide an efficient and computationally fast analytical approach.
  • To compare the method's performance against existing techniques.

Main Methods:

  • A two-stage Bayesian analysis framework is proposed.
  • The first stage is analytically tractable.
  • Markov Chain Monte Carlo (MCMC) methods are employed for the second stage, using the first stage's posterior as its prior.

Related Experiment Videos

Main Results:

  • The method requires minimal distributional assumptions and no asymptotic approximations.
  • It is computationally efficient and compatible with standard software.
  • Applied to two datasets, it yields comparable results to other methods.

Conclusions:

  • The presented Bayesian method offers a flexible and accurate approach to handling binary measurement error in case-control studies.
  • Its computational speed and minimal assumptions make it a practical tool for researchers.
  • The two-stage approach effectively transfers information from accurately measured subsets.