Regression analysis of informatively interval-censored failure time data with semiparametric linear transformation model

DOI10.1080/10485252.2019.1626383zbMath1426.62291OpenAlexW2948342584MaRDI QIDQ5228596

Jianguo Sun, Tao Hu, Shishun Zhao, Da Xu

Publication date: 12 August 2019

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10485252.2019.1626383

zbMATH Keywords

splinesinformative censoringefficient estimationlinear transformation modelcopula modelsinterval-censored data

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Censored data models (62N01) Characterization and structure theory for multivariate probability distributions; copulas (62H05)

Related Items (3)

Inference on semi-parametric transformation model with a pairwise likelihood based on left-truncated and interval-censored data ⋮ Regression analysis of interval-censored data with informative observation times under the accelerated failure time model ⋮ Transformation models with informative partly interval-censored data

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• An introduction to copulas.
• Convergence rate of sieve estimates
• On methods of sieves and penalization
• Analysis of multivariate survival data
• Cox regression analysis of dependent interval-censored failure time data
• Regression analysis of interval-censored failure time data with the additive hazards model in the presence of informative censoring
• Weak convergence and empirical processes. With applications to statistics
• The statistical analysis of interval-censored failure time data.
• Interval-Censored Time-to-Event Data
• Semiparametric linear transformation models for current status data
• A Spline-Based Semiparametric Maximum Likelihood Estimation Method for the Cox Model with 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
• Sieve Estimation for the Proportional-Odds Failure-Time Regression Model With Interval Censoring
• A Markov Chain Monte Carlo EM Algorithm for Analyzing Interval-Censored Data under the Cox Proportional Hazards Model
• A Proportional Hazards Model for Interval-Censored Failure Time Data
• Estimates of marginal survival for dependent competing risks based on an assumed copula
• Regression analysis of informative current status data with the semiparametric linear transformation model
• Regression analysis of case K interval‐censored failure time data in the presence of informative censoring
• Estimation of the mean function with panel count data using monotone polynomial splines
• Efficient Estimation of Semiparametric Multivariate Copula Models
• Convergence of stochastic processes

This page was built for publication: Regression analysis of informatively interval-censored failure time data with semiparametric linear transformation model