Nonparametric modeling of the gap time in recurrent event data

DOI10.1007/s10985-008-9110-4zbMath1282.62215OpenAlexW2033006557WikidataQ33397401 ScholiaQ33397401MaRDI QIDQ841067

Pang Du

Publication date: 14 September 2009

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

Full work available at URL: https://doi.org/10.1007/s10985-008-9110-4

zbMATH Keywords

asymptotic convergence ratepenalized likelihoodBayesian confidence intervalrecurrent eventgap time hazard function

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric tolerance and confidence regions (62G15) Estimation in survival analysis and censored data (62N02) Testing in survival analysis and censored data (62N03)

Related Items (9)

The semiparametric accelerated trend-renewal process for recurrent event data ⋮ A class of transformed hazards models for recurrent gap times ⋮ Smoothing Spline ANOVA Frailty Model for Recurrent Event Data ⋮ Empirical likelihood confidence bands for mean functions of recurrent events with competing risks and a terminal event ⋮ A class of partially linear transformation models for recurrent gap times ⋮ An additive hazards model for clustered recurrent gap times ⋮ On a general class of semiparametric hazards regression models for recurrent gap times ⋮ Additive mixed effect model for recurrent gap time data ⋮ Nonparametric inference based on panel count data

Uses Software

• frailtypack
• gss

Cites Work

• Unnamed Item
• Unnamed Item
• Nonparametric survival analysis with time-dependent covariate effects: A penalized partial likelihood approach
• Analysis of multivariate survival data
• Penalized likelihood hazard estimation: Efficient approximation and Bayesian confidence inter\-vals
• Optimal smoothing in nonparametric mixed-effect models
• Joint frailty models for recurring events and death using maximum penalized likelihood estimation: application on cancer events
• Nonparametric estimation based on censored observations of a Markov renewal process
• The accelerated gap times model
• An Analysis of Comparative Carcinogenesis Experiments Based on Multiple Times to Tumor
• Fast Computation of Fully Automated Log-Density and Log-Hazard Estimators
• Nonparametric Estimation of Relative Risk Using Splines and Cross-Validation
• Mixed Effects Smoothing Spline Analysis of Variance
• Nonparametric estimation of the gap time distribution for serial events with censored data
• Nonparametric Estimation With Recurrent Event Data
• Nonparametric Estimation of a Recurrent Survival Function
• A Penalized Likelihood Approach for Arbitrarily Censored and Truncated Data: Application to Age-Specific Incidence of Dementia
• Model diagnostics for smoothing spline ANOVA models
• Theory of Reproducing Kernels
• Smoothing spline ANOVA models

This page was built for publication: Nonparametric modeling of the gap time in recurrent event data