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

Urn models and vaccine efficacy estimation.

C M Hernández-Suárez1, C Castillo-Chavez

  • 1CGIC - Universidad de Colima, Apdo. Postal 25, Colima, 28045 México.

Statistics in Medicine
|March 29, 2000
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

Performance of the case definition of suspected influenza before and during the COVID-19 pandemic.

Revista clinica espanola·2021
Same author

Survival in adult pneumonia inpatients fulfilling suspected COVID-19 criteria and baseline negative RT-qPCR.

Public health·2021
Same author

Predictors of severe symptomatic laboratory-confirmed SARS-CoV-2 reinfection.

Public health·2021
Same author

How long do people stick to a diet resolution? A digital epidemiological estimation of weight loss diet persistence.

Public health nutrition·2020
Same author

Survival in adult inpatients with COVID-19.

Public health·2020
Same author

Predictors of laboratory-positive COVID-19 in children and teenagers.

Public health·2020
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
Same journal

Moving From Individualized Risk-Based Prevention to Benefit-Based Prevention: Estimating Individualized Life-Years Gained From Prevention Services as a Basis for Eligibility.

Statistics in medicine·2026
See all related articles

This study presents a new framework for estimating vaccine efficacy (VE) using urn models. The approach accurately estimates VE for both leaky and all-or-nothing vaccines, applicable even to non-contagious diseases.

Area of Science:

  • Epidemiology
  • Biostatistics
  • Immunology

Background:

  • Vaccine efficacy (VE) estimation is crucial for public health.
  • Existing methods often rely on complex transmission models.
  • A flexible framework for VE estimation is needed, especially for diverse vaccine types and non-contagious diseases.

Purpose of the Study:

  • To derive and present a novel urn model framework for estimating vaccine efficacy.
  • To analyze the distribution of infections in vaccinated and unvaccinated individuals for different vaccine models.
  • To provide a method for hypothesis testing and parameter estimation in VE studies.

Main Methods:

  • Derivation of infection distributions for leaky and all-or-nothing vaccine models under random mixing.
  • Application of hypergeometric distribution for all-or-nothing vaccines and Wallenius' distribution for leaky vaccines.

Related Experiment Videos

  • Utilizing capture-recapture sampling principles for VE estimation.

    • Main Results:

    • The hypergeometric distribution accurately models infections in vaccinated individuals for all-or-nothing vaccines.
    • Wallenius' distribution is applicable to leaky vaccine models.
    • Current point estimates of VE perform well within the proposed urn model framework.
    • The framework is robust for sampled population data.

    Conclusions:

    • The proposed urn model provides a strong, flexible framework for VE estimation and hypothesis testing.
    • This method simplifies VE estimation by not requiring an underlying transmission model.
    • The approach is applicable to both contagious and non-contagious diseases, enhancing its utility.