A multiple imputation approach to the analysis of interval-censored failure time data with the additive hazards model

DOI10.1016/J.CSDA.2009.10.022zbMath1464.62044OpenAlexW1993667817WikidataQ30871214 ScholiaQ30871214MaRDI QIDQ962362

Ling Chen, Jianguo Sun

Publication date: 6 April 2010

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4240511

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Reliability and life testing (62N05)

Related Items (8)

Lower confidence limit for reliability based on grouped data using a quantile-filling algorithm ⋮ A new method for regression analysis of interval-censored data with the additive hazards model ⋮ Maximum penalized likelihood estimation of additive hazards models with partly interval censoring ⋮ Risk prediction with imperfect survival outcome information from electronic health records ⋮ A multiple imputation approach for the Cox-Aalen cure model with interval-censored data ⋮ Comments on ``Learning from imprecise and fuzzy observations: data disambiguation through generalized loss minimization ⋮ Study of an imputation algorithm for the analysis of interval-censored data ⋮ Semiparametric regression with the U-shaped baseline hazard function in the additive hazards model under general censoring mechanisms

Cites Work

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• Efficient estimation for the proportional hazards model with interval censoring
• Survival analysis. Techniques for censored and truncated data.
• Weak convergence and empirical processes. With applications to statistics
• The statistical analysis of interval-censored failure time data.
• Regression analysis of interval-censored failure time data with linear transformation models
• Generalized Additive Models with Interval-Censored Data and Time-Varying Covariates: Application to Human Immunodeficiency Virus Infection in Hemophiliacs
• Additive hazards regression with current status data
• Semiparametric analysis of the additive risk model
• Sieve Estimation for the Proportional-Odds Failure-Time Regression Model With Interval Censoring
• Link-Based Models for Survival Data with Interval and Continuous Time Censoring
• Hazard Regression with Interval-Censored Data
• A Multiple Imputation Approach to Cox Regression with Interval‐Censored Data
• A Proportional Hazards Model for Multivariate Interval‐Censored Failure Time Data
• A Proportional Hazards Model for Interval-Censored Failure Time Data
• Regression with interval-censored data

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