Difference Between Binomial Proportions Using Newcombe’s Method With Multiple Imputation for Incomplete Data

DOI10.1080/00031305.2021.1898468OpenAlexW3135301766MaRDI QIDQ5050794

Ofer Harel, Yulia Sidi

Publication date: 18 November 2022

Published in: The American Statistician (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00031305.2021.1898468

zbMATH Keywords

Wilsonmultiple imputationCOVID-19binomial proportionsNewcombe

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• IVEware

Cites Work

• Unnamed Item
• Inferences on missing information under multiple imputation and two-stage multiple imputation
• Confidence intervals for two sample binomial distribution
• Addressing missing data mechanism uncertainty using multiple-model multiple imputation: application to a longitudinal clinical trial
• Simple and Effective Confidence Intervals for Proportions and Differences of Proportions Result from Adding Two Successes and Two Failures
• Inference and missing data
• Tests of Statistical Hypotheses Concerning Several Parameters When the Number of Observations is Large
• Wilson Confidence Intervals for Binomial Proportions With Multiple Imputation for Missing Data

This page was built for publication: Difference Between Binomial Proportions Using Newcombe’s Method With Multiple Imputation for Incomplete Data