Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Videos

Hypothesis testing and sample size for bivariate binomial response in the comparison of two groups.

A R Willan, J L Pater

Journal of Chronic Diseases

|January 1, 1985

Summary

This study introduces a new hypothesis test for comparing two groups on two binary outcomes. It also provides methods for determining sample size for these comparisons and generalizes to multiple binary outcomes.

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

Cesarean delivery or induction of labor in pre-labor twin gestations: a secondary analysis of the twin birth study.

BMC pregnancy and childbirth·2020

Same author

Planned Cesarean or planned vaginal delivery for twins: secondary analysis of randomized controlled trial.

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology·2019

Same author

The economic impact of the transition from branded to generic oncology drugs.

Current oncology (Toronto, Ont.)·2019

Same author

Urinary stress incontinence and other maternal outcomes 2 years after caesarean or vaginal birth for twin pregnancy: a multicentre randomised trial.

BJOG : an international journal of obstetrics and gynaecology·2018

Same author

Linkage of clinical trial and administrative data: a survey of cancer patient preferences.

Current oncology (Toronto, Ont.)·2017

Same author

Estimation of drug cost avoidance and pathology cost avoidance through participation in NCIC Clinical Trials Group phase III clinical trials in Canada.

Current oncology (Toronto, Ont.)·2016

Area of Science:

Statistics
Biostatistics
Clinical Trials

Background:

Comparing groups with binary outcomes is common in research.
Existing methods may not cover multiple binary outcomes efficiently.

Purpose of the Study:

To propose a novel hypothesis test for comparing two groups on two binary outcomes.
To develop methods for sample size calculation for this test.
To generalize the approach for an arbitrary number of independent binary outcomes.

Main Methods:

A hypothesis testing framework is developed for dual binary outcomes.
Formulas and procedures for sample size determination are derived.
The methodology is extended to accommodate multiple independent binary outcomes.

Related Experiment Videos

Main Results:

A statistically valid test for comparing two groups on two binary outcomes is presented.
Sample size requirements can be accurately determined using the proposed methods.
The generalized method effectively handles an arbitrary number of binary outcomes.

Conclusions:

The proposed hypothesis test provides a robust method for analyzing two binary outcomes.
Accurate sample size determination enhances study power and efficiency.
The generalization offers a flexible tool for diverse research scenarios involving multiple binary endpoints.