Additive-multiplicative hazards model with current status data

DOI10.1007/S00180-018-0806-YzbMath1417.62281OpenAlexW2792778970WikidataQ130119526 ScholiaQ130119526MaRDI QIDQ722728

Jianglin Fang, Xuewen Lu, Wanrong Liu

Publication date: 27 July 2018

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-018-0806-y

zbMATH Keywords

empirical processB-splinescounting processsemiparametric efficiency boundcurrent status datamonotonicity constraint

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Censored data models (62N01)

Related Items (2)

A new method for regression analysis of interval-censored data with the additive hazards model ⋮ Unnamed Item

Uses Software

• timereg
• invGauss

Cites Work

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• Cox's regression model for counting processes: A large sample study
• Survival and event history analysis. A process point of view
• The dimensionality reduction principle for generalized additive models
• Additive regression and other nonparametric models
• Nonparametric maximum likelihood estimation by the method of sieves
• Convergence rate of sieve estimates
• Efficient estimation of the partly linear additive Cox model
• Efficient estimation for the proportional hazards model with interval censoring
• Semiparametric analysis of general additive-multiplicative hazard models for counting processes
• Weak convergence and empirical processes. With applications to statistics
• Dynamic regression models for survival data.
• Goodness-of-Fit Methods for Additive-Risk Models in Tumorigenicity Experiments
• Semiparametric analysis of the additive risk model
• Efficient estimation in additive hazards regression with current status data
• Residuals for Proportional Hazards Models with Interval‐Censored Survival Data
• Estimation of the mean function with panel count data using monotone polynomial splines
• Statistical models based on counting processes

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