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

Sampling for conditional inference on case-control data.

Yuguo Chen1, Ian H Dinwoodie, Brenda MacGibbon

  • 1Department of Statistics, University of Illinois at Urbana-Champaign, 725 S. Wright Street, Champaign, Illinois 61820, USA. yuguo@uiuc.edu

Biometrics
|September 11, 2007
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

"Nano-filter"-integrated AIMS with machine learning: direct exhaled breath analysis for lung cancer screening.

Chemical science·2026
Same author

-30°C-operable bioadhesive hydrogel sensors for embryonic-like skin regeneration and real-time wound monitoring.

Bioactive materials·2026
Same author

AG-STDF: Anatomy-Guided ECG Spatiotemporal Dynamical Fusion for Screening Coronary Microvascular Dysfunction.

IEEE transactions on bio-medical engineering·2026
Same author

RNA-binding protein RCAN1.1L modulates ATF2 mRNA stability to promote mitochondrial fission in acute ischemic stroke.

Cell death & disease·2026
Same author

Multicenter Evaluation of an Edge-to-Edge Repair System in High-Risk Patients With Degenerative Mitral Regurgitation.

Structural heart : the journal of the Heart Team·2026
Same author

Rejection and perioperative management in liver transplantation following immune checkpoint inhibitor-based downstaging for hepatocellular carcinoma.

Journal of hepatology·2026

This study introduces new exact sampling methods for analyzing discrete case-control data. These techniques improve the accuracy and speed of computations for both grouped and matched data sets.

Area of Science:

  • Biostatistics
  • Statistical Inference
  • Epidemiological Data Analysis

Background:

  • Exact conditional inference for discrete multivariate case-control data presents computational challenges.
  • Existing methods for grouped case-control data include importance sampling.
  • Matched case-control data analysis requires specialized exact inference techniques.

Purpose of the Study:

  • To propose novel exact sampling methods for discrete multivariate case-control data.
  • To address computational difficulties in both grouped and matched case-control data analyses.
  • To provide accurate and efficient methods for conditional inference.

Main Methods:

  • For grouped data, Monte Carlo computations utilize importance sampling or a sequential importance sampling method.

Related Experiment Videos

  • For matched data, a new exact sampling method based on the conditional-Poisson distribution is proposed.
  • Detailed derivations of constraints and conditional distributions are provided for both data types.

    • Main Results:

    • The proposed conditional-Poisson based method enables fast and accurate computations for large matched case-control data sets.
    • The study demonstrates the application of these methods on various real-world data sets.
    • The methods offer robust solutions for exact conditional inference.

    Conclusions:

    • The developed exact sampling methods enhance the analysis of discrete multivariate case-control data.
    • These methods provide efficient and accurate computational tools for biostatisticians and epidemiologists.
    • The study contributes significant advancements to the field of statistical inference for case-control studies.