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

Exploring the order of odds ratios using the bootstrap.

J A Schwartzbaum1, J G Hirschberg

  • 1Department of Biostatistics and Epidemiology, University of Tennessee, Memphis 38163.

Statistics in Medicine
|August 1, 1991
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

Long range microscope condensing system.

Applied optics·2010
Same author

Field-widened Michelson spectrometer with no moving parts. Part 2.

Applied optics·2010
Same author

Simultaneous electron density and ion temperature measurements of a moderately dense plasma using Doppler and Stark broadened He II lines.

Applied optics·2010
Same author

Direct method of decoding multiple images.

Applied optics·2010
Same author

Field widened michelson spectrometer with no moving parts.

Applied optics·2010
Same author

Multiplex fabry-perot interferometer.

Applied optics·2010
Same journal

Latent Class Log-Linear Models for Estimating Diagnostic Test Accuracy Without a Gold Standard: A Simulation Study.

Statistics in medicine·2026
Same journal

Interpretable Bayesian Modeling for Multireader Multicase Studies: Addressing Overdispersion and Limited Sample Size in Diagnostic Enhancement Evaluation.

Statistics in medicine·2026
Same journal

Adaptive Sequential Multiple Hypotheses Testing for Concomitant Vaccine Safety Surveillance.

Statistics in medicine·2026
Same journal

Novel Distance Regression for Repeated Outcomes With Missing Data: Applications to Longitudinal and Crossover Studies of Microbiome Beta-Diversity.

Statistics in medicine·2026
Same journal

Optimal Weighted Tests for Replication Studies and the 'Two-Trials Rule' With Multiple Hypotheses.

Statistics in medicine·2026
Same journal

Identifiable Copula-Double-Cox Models: A Fully Parametric Framework for Dependent Right-Censored Survival Data.

Statistics in medicine·2026
See all related articles

Bootstrap resampling helps analyze odds ratio rankings in medical ethics. This statistical method estimates the likelihood of observing similar patient category rankings in future studies.

Area of Science:

  • Medical Ethics
  • Biostatistics
  • Health Services Research

Background:

  • Physician decision-making in patient confidentiality is complex.
  • Ethical dilemmas involve balancing patient privacy with public health reporting.
  • Understanding factors influencing these decisions is crucial for medical practice.

Purpose of the Study:

  • To apply bootstrap resampling for analyzing odds ratio rankings.
  • To estimate the probability of observing specific patient category rankings in future samples.
  • To investigate potential influences of patient demographics on physician reporting decisions.

Main Methods:

  • Utilized bootstrap resampling with 1000 samples.
  • Modeled responses of 77 white male physicians to an ethical dilemma.

Related Experiment Videos

  • Assessed patient categories based on sex, race, and sexual preference.

    • Main Results:

    • Black heterosexual males were ranked high (1st/2nd in 92.2% of samples).
    • Black homosexual males ranked high (1st-3rd in 88.6% of samples).
    • White homosexual females were ranked low (6th/7th in 82.9% of samples).

    Conclusions:

    • Bootstrap resampling effectively estimates the stability of odds ratio rankings.
    • Observed patient category rankings are likely to be replicated in future independent samples.
    • Physician decisions in HIV status reporting may be influenced by patient race and sexual orientation.