Regression analysis of informative current status data with the additive hazards model

DOI10.1007/S10985-014-9303-YzbMath1322.62296OpenAlexW2086279861WikidataQ30839761 ScholiaQ30839761MaRDI QIDQ747361

Jianguo Sun, Ling Ma, Shishun Zhao, Tao Hu, Peijie Wang

Publication date: 16 October 2015

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10985-014-9303-y

zbMATH Keywords

informative censoringefficient estimationadditive hazards modelcurrent status data

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric estimation (62G05) Censored data models (62N01) Reliability and life testing (62N05)

Related Items (20)

Regression analysis of informative current status data with the semiparametric linear transformation model ⋮ Nonparametric tests for stratified additive hazards model based on current status data ⋮ Regression analysis of current status data with latent variables ⋮ Regression analysis of dependent current status data with the accelerated failure time model ⋮ A Bayesian Approach for the Analysis of Tumorigenicity Data from Sacrificial Experiments Under Weibull Lifetimes ⋮ Regression analysis of current status data in the presence of dependent censoring with applications to tumorigenicity experiments ⋮ A new approach to estimation of the proportional hazards model based on interval-censored data with missing covariates ⋮ Semiparametric analysis of the additive hazards model with informatively interval-censored failure time data ⋮ Regression analysis of multivariate current status data under a varying coefficients additive hazards frailty model ⋮ New methods for the additive hazards model with the informatively interval‐censored failure time data ⋮ A new approach for regression analysis of multivariate current status data with informative censoring ⋮ Regression analysis of misclassified current status data with informative observation times ⋮ Generalized Odds Rate Frailty Models for Current Status Data with Informative Censoring ⋮ Estimation of linear transformation cure models with informatively interval-censored failure time data ⋮ Bayesian empirical analysis of the proportional hazards model for right-censored failure time data ⋮ Inference on semiparametric transformation model with general interval-censored failure time data ⋮ Estimation of partly linear additive hazards model with left-truncated and right-censored data ⋮ Survival function estimation of current status data with dependent censoring ⋮ Estimation of the additive hazards model with case \(K\) interval-censored failure time data in the presence of informative censoring ⋮ A vine copula approach for regression analysis of bivariate current status data with informative censoring

Cites Work

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• Efficient estimation for additive hazards regression with bivariate current status data
• A pool-adjacent-violators type algorithm for non-parametric estimation of current status data with dependent censoring
• Nonparametric estimation of current status data with dependent censoring
• An introduction to copulas.
• Convergence rate of sieve estimates
• On methods of sieves and penalization
• Analysis of multivariate survival data
• 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 transformation models for current status data with informative censoring
• A Frailty Model for Informative Censoring
• Regression analysis of clustered interval-censored failure time data with the additive hazards model
• A Multiple Imputation Approach to the Analysis of Current Status Data with the Additive Hazards Model
• Additive hazards regression with current status data
• Semiparametric analysis of the additive risk model
• Efficient estimation in additive hazards regression with current status data
• Probability for Statisticians
• Additive Hazards Regression with Covariate Measurement Error
• Age-Specific Incidence and Prevalence: A Statistical Perspective
• Estimates of marginal survival for dependent competing risks based on an assumed copula
• Estimation of the mean function with panel count data using monotone polynomial splines
• Efficient Estimation of Semiparametric Multivariate Copula Models
• Convergence of stochastic processes

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