Semiparametric estimation of survival function when data are subject to dependent censoring and left truncation

DOI10.1016/j.spl.2009.10.002zbMath1180.62142OpenAlexW2028926595MaRDI QIDQ844865

Pao-sheng Shen

Publication date: 5 February 2010

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2009.10.002

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)

Cites Work

• Nonparametric estimation of the bivariate survival function with truncated data
• Weak convergence and empirical processes. With applications to statistics
• A Semiparametric Model for Randomly Truncated Data
• Nonparametric Estimation from Cross-Sectional Survival Data
• Length-Biased Sampling With Right Censoring
• Correcting for Noncompliance and Dependent Censoring in an AIDS Clinical Trial with Inverse Probability of Censoring Weighted (IPCW) Log‐Rank Tests
• The Kaplan–Meier Estimator as an Inverse-Probability-of-Censoring Weighted Average
• Statistical models based on counting processes
• Semiparametric analysis of truncated data
• Estimating the marginal survival function in the presence of time dependent covariates
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