Bias induced by ignoring double truncation inherent in autopsy-confirmed survival studies of neurodegenerative diseases

DOI10.1002/SIM.8185zbMATH Open1545.62515MaRDI QIDQ6625144

Sharon X. Xie, Lior Rennert

Publication date: 28 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

survivaltruncationselection biasneurodegenerative disease

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Cox regression model with doubly truncated data
• Nonparametric analysis of doubly truncated data
• Survival analysis. Techniques for censored and truncated data.
• Goodness-of-fit tests for a semiparametric model under random double truncation
• Semiparametric Analysis of Doubly Truncated Data
• Bootstrapping the NPMLE for doubly truncated data
• A Semiparametric Extension of the Mann-Whitney Test for Randomly Truncated Data
• Nonparametric Methods for Doubly Truncated Data
• Testing Quasi-Independence of Failure and Truncation Times via Conditional Kendall's Tau
• Estimating a distribution function with truncated data

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