Performance of parametric survival models under non-random interval censoring: a simulation study

DOI10.1016/j.csda.2013.01.014zbMath1468.62153OpenAlexW2069085966MaRDI QIDQ1800058

Michael G. Kenward, Nikos Pantazis, Giota Touloumi

Publication date: 19 October 2018

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

Full work available at URL: https://doi.org/10.1016/j.csda.2013.01.014

zbMATH Keywords

interval censoringinformative censoringHIVgeneralised gammaantiretroviral treatmentparametric survival modelvirologic response

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01)

Uses Software

• R
• Stata
• Intcox
• Icens
• INTCENS
• STPM

Cites Work

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• A study of interval censoring in parametric regression models
• Understanding the shape of the hazard rate: A process point of view. (With comments and a rejoinder).
• Frequentist and Bayesian approaches for interval-censored data
• Testing for Dependence Between Failure Time and Visit Compliance with Interval-Censored Data
• Analysis of Failure Time Data with Dependent Interval Censoring
• An overview of methods for interval-censored data with an emphasis on applications in dentistry
• Locally Efficient Estimation with Current Status Data and Time-Dependent Covariates
• A Hybrid Algorithm for Computation of the Nonparametric Maximum Likelihood Estimator From Censored Data
• Tutorial on methods for interval-censored data and their implementation in R

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