Hiring in life sciences? Share your open positions with our professional community. Read more Close

Advertisement

Testing Risk Difference of Two Proportions for Combined Unilateral and Bilateral Data.

Created on 25 Sep 2026

Authors

Jia Zhou, Chang-Xing Ma

Published in

Pharmaceutical statistics. Volume 25. Issue 6. Pages e70128.

Abstract

In clinical studies with paired organs, binary outcomes often exhibit intra-subject correlation and may include a mixture of unilateral and bilateral observations. Under Donner's constant correlation model, we develop three likelihood-based test statistics (the likelihood ratio, Wald-type, and score tests) for assessing the risk difference between two proportions. Simulation studies demonstrate good control of type I error and comparable power among the three tests, with the score test showing slightly more favorable performance, particularly for moderate to large sample sizes, supporting its use in practical applications and future studies involving combined unilateral and bilateral data. Applications to otolaryngologic and ophthalmologic data illustrate the methods. An online calculator is also provided for power analysis and risk difference testing.

PMID:
42786133
Bibliographic data and abstract were imported from PubMed on 25 Sep 2026.

Read full publication at:
Please sign in to see all details.

Advertisement

Stats

  • Community rating n/a 0 votes
  • Reviewers' rating n/a 0 votes
  • Your rating

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

  • Recommendations n/a n/a positive of 0 vote(s)
  • Views 8
  • Comments 0

Recommended by

  • No recommendations yet.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.

Advertisement