Inference under right censoring for transformation models with a change-point based on a covariate threshold
DOI10.1214/009053606000001244zbMath1136.62376arXivmath/0604043OpenAlexW1989225458MaRDI QIDQ2642736
Publication date: 4 September 2007
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/math/0604043
empirical processesright censoringproportional hazards modelproportional odds modelsemiparametric efficiencynonparametric maximum likelihoodchange-point modelstransformation models
Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Censored data models (62N01) Monte Carlo methods (65C05) Estimation in survival analysis and censored data (62N02) Testing in survival analysis and censored data (62N03)
Related Items (31)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Semiparametric efficient estimation in the generalized odds-rate class of regression models for right-censored time-to-event data
- Estimation in a Cox regression model with a change-point according to a threshold in a covariate
- Asymptotic theory for the correlated gamma-frailty model
- Robust inference for univariate proportional hazards frailty regression models
- Large sample confidence regions based on subsamples under minimal assumptions
- Weak convergence and empirical processes. With applications to statistics
- Introduction to empirical processes and semiparametric inference
- Inference under right censoring for transformation models with a change-point based on a covariate threshold
- Estimation and Testing in a Two-Sample Generalized Odds-Rate Model
- Analysis of transformation models with censored data
- Proportional odds regression and sieve maximum likelihood estimation
- An Analysis of Transformations Revisited
- Asymptotic Statistics
- Miscellanea. On the linear transformation model for censored data
- Estimations of a threshold parameter in cox regression
- Cox Regression with Incomplete Covariate Measurements
- Optimal Tests when a Nuisance Parameter is Present Only Under the Alternative
- Likelihood ratio tests for a changepoint with survival data
- Predicting Survival Probabilities With Semiparametric Transformation Models
- Maximum Likelihood Estimation in the Proportional Odds Model
- Testing When a Parameter is on the Boundary of the Maintained Hypothesis
- An Analysis of Transformations Revisited, Rebutted
- Consistency of the NPML Estimator in the Right-Censored Transformation Model
This page was built for publication: Inference under right censoring for transformation models with a change-point based on a covariate threshold