Information anchored reference‐based sensitivity analysis for truncated normal data with application to survival analysis

DOI10.1111/stan.12250OpenAlexW3168316256MaRDI QIDQ6067730

Unnamed Author, Michael G. Kenward, James Carpenter, Unnamed Author

Publication date: 14 December 2023

Published in: Statistica Neerlandica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/stan.12250

zbMATH Keywords

sensitivity analysisinformative censoringTobit regressionRubin's rulescensoring not at randomreference-based multiple imputationtruncated normal data

Mathematics Subject Classification ID

Statistics (62-XX) Parametric inference (62Fxx) Applications of statistics (62Pxx)

Cites Work

• Unnamed Item
• Estimation of Relationships for Limited Dependent Variables
• Finite sample properties of multiple imputation estimators.
• Multiple Imputation and its Application
• Proper and Improper Multiple Imputation
• Inference for imputation estimators
• Joint partially linear model for longitudinal data with informative drop‐outs

This page was built for publication: Information anchored reference‐based sensitivity analysis for truncated normal data with application to survival analysis