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

Testing independence between two Poisson-generated multinomial variables in case-series and cohort studies.

Mounia Hocine1, Didier Guillemot, Pascale Tubert-Bitter

  • 1Institut National de la Santé Et de la Recherche Médicale, Unité 472, Villejuif, France. hocine@vjf.inserm.fr

Statistics in Medicine
|December 2, 2005
PubMed
Summary

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

Measuring performance trajectories in lung cancer surgery: a longitudinal study using the French national hospital database from 2020 to 2024.

BMJ health & care informatics·2026
Same author

Differential impact of the pandemic first wave on chronic respiratory diseases in France.

Respiratory medicine and research·2026
Same author

Dynamic proteomics of Nasonia vitripennis pupal development reveals testis-specific regulation of new proteins (orphans) likely related to exo-α-sialidases.

BMC genomics·2026
Same author

Modelling impacts of paediatric amoxicillin shortage management on pneumococcal resistance and invasive disease in Europe.

Nature communications·2026
Same author

Revisiting the Association Between Calcium Channel Blockers and Parkinson's Disease in the E3N Cohort.

Movement disorders : official journal of the Movement Disorder Society·2026
Same author

Factors associated with non-participation of preterm infants at two and five years in a large population-based French healthcare network.

BMC pediatrics·2026

This study introduces a new statistical test to analyze the relationship between two recurrent events, like infections, and intermittent exposures, such as antibiotic use. The method helps understand how treatments influence multiple health events in observational studies.

Area of Science:

  • Epidemiology
  • Biostatistics
  • Infectious Disease

Background:

  • Recurrent events and intermittent exposures are common in health studies.
  • Existing methods may not adequately address the interplay between multiple recurrent events and exposures.
  • Understanding these relationships is crucial for public health interventions.

Purpose of the Study:

  • To develop and validate a statistical test for independence between two types of recurrent events under intermittent exposure.
  • To extend existing methods for analyzing case-series data with recurrent events.
  • To assess the performance of the proposed test through simulations.

Main Methods:

  • Proposed a statistical test based on an extension of a case-series data analysis method.

Related Experiment Videos

  • Utilized a bivariate Poisson generated-multinomial distribution for the test statistic.
  • Conducted simulations to evaluate type I error rates and statistical power.
  • Applied the test to a cohort study on antibiotic resistance in schoolchildren.

    • Main Results:

    • The proposed test demonstrated validity in terms of type I error control.
    • Simulation results indicated favorable power properties for the test.
    • The test was successfully illustrated using real-world epidemiological data.

    Conclusions:

    • The developed statistical test provides a robust tool for analyzing associations between recurrent events and intermittent exposures.
    • This method enhances the analysis of complex event patterns in observational studies.
    • Findings contribute to a better understanding of factors influencing recurrent health events and resistance patterns.