Semiparametric Frailty Models for Clustered Failure Time Data

DOI10.1111/j.1541-0420.2011.01683.xzbMath1251.62011OpenAlexW1967221783WikidataQ34070916 ScholiaQ34070916MaRDI QIDQ2912334

Xihong Lin, Zhangsheng Yu, Wanzhu Tu

Publication date: 14 September 2012

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3600835

zbMATH Keywords

smoothing splinesvariance componentssmoothing parametersexually transmitted diseasedoubly penalized partial likelihoodGaussian frailty

Mathematics Subject Classification ID

Density estimation (62G07) Numerical computation using splines (65D07) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05)

Related Items

An additive marginal regression model for clustered recurrent event in the presence of a terminal event, Estimation of multivariate frailty models with varying coefficients, Goodness‐of‐fit tests in proportional hazards models with random effects, An additive hazards model for clustered recurrent gap times, Joint model of recurrent events and a terminal event with time‐varying coefficients, A Gamma-frailty proportional hazards model for bivariate interval-censored data

Cites Work

• Unnamed Item
• Hazard models with varying coefficients for multivariate failure time data
• Local likelihood and local partial likelihood in hazard regression
• Asymptotic theory for the correlated gamma-frailty model
• Asymptotic theory for the frailty model
• The frailty model.
• Local Likelihood Estimation
• Penalized Partial Likelihood for Frailties and Smoothing Splines in Time to First Insemination Models for Dairy Cows
• Partially Linear Hazard Regression with Varying Coefficients for Multivariate Survival Data
• Nonparametric regression using local kernel estimating equations for correlated failure time data
• Penalized Likelihood for General Semi-Parametric Regression Models
• Nonparametric Estimation of Relative Risk Using Splines and Cross-Validation
• Inference in Generalized Additive Mixed Models by Using Smoothing Splines
• Bias Correction in Generalized Linear Mixed Models With Multiple Components of Dispersion
• Estimation of Multivariate Frailty Models Using Penalized Partial Likelihood
• Approximate Inference in Generalized Linear Mixed Models
• Spline-Based Tests in Survival Analysis