A class of semiparametric transformation models for survival data with a cured proportion
DOI10.1007/S10985-013-9268-2zbMath1356.62180OpenAlexW2029708474WikidataQ30647002 ScholiaQ30647002MaRDI QIDQ509831
Xuelin Huang, Sangbum Choi, Yi-Hau Chen
Publication date: 21 February 2017
Published in: Lifetime Data Analysis (Search for Journal in Brave)
Full work available at URL: http://europepmc.org/articles/pmc3842418
survival analysistransformation modelcounting processnonparametric likelihoodcrossing survivalsdiscrete frailty
Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Estimation in survival analysis and censored data (62N02)
Related Items (5)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Proportional hazards models with discrete frailty
- Consistency in a proportional hazards model incorporating a random effect
- On the convergence of interior-reflective Newton methods for nonlinear minimization subject to bounds
- Asymptotic theory for the correlated gamma-frailty model
- Asymptotic theory for the frailty model
- A Semiparametric Approach for the Two-Sample Comparison of Survival Times with Long-Term Survivors
- On semiparametric transformation cure models
- Weighted Breslow-type and maximum likelihood estimation in semiparametric transformation models
- Efficient estimation of semiparametric transformation models for counting processes
- Estimation and Testing in a Two-Sample Generalized Odds-Rate Model
- A New Bayesian Model for Survival Data with a Surviving Fraction
- Estimation in a Cox Proportional Hazards Cure Model
- A Nonparametric Mixture Model for Cure Rate Estimation
- An Interior Trust Region Approach for Nonlinear Minimization Subject to Bounds
- Semiparametric Efficient Estimation for a Class of Generalized Proportional Odds Cure Models
- Semiparametric Transformation Models for Survival Data With a Cure Fraction
This page was built for publication: A class of semiparametric transformation models for survival data with a cured proportion