Proportional hazards models for survival data with long-term survivors
From MaRDI portal
Publication:2507715
DOI10.1016/J.SPL.2006.04.018zbMath1099.62116OpenAlexW2062296894MaRDI QIDQ2507715
Publication date: 5 October 2006
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.spl.2006.04.018
maximum likelihood estimationpartial likelihoodmartingalecounting processCox proportional hazards modellong-term survivor
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic properties of nonparametric inference (62G20) Estimation in survival analysis and censored data (62N02)
Related Items (11)
Analyzing left-truncated and right-censored data under Cox models with long-term survivors ⋮ Dynamic proportional hazard rate and reversed hazard rate models ⋮ Modeling gap times between recurrent events by marginal rate function ⋮ Further results on dynamic additive hazard rate model ⋮ Measurement error in proportional hazards models for survival data with long-term survivors ⋮ Cure-rate estimation under case-1 interval censoring ⋮ Profile likelihood estimation for the cox proportional hazards (PH) cure model and standard errors ⋮ Semiparametric Estimation in Transformation Models with Cure Fraction ⋮ Generating data from improper distributions: application to Cox proportional hazards models with cure ⋮ Semiparametric modeling of medical cost data containing zeros ⋮ Recurrent Events Analysis in the Presence of Terminal Event and Zero-recurrence Subjects
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Cox's regression model for counting processes: A large sample study
- A large sample study of Cox's regression model
- Understanding Cox's Regression Model: A Martingale Approach
- 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
- The statistical theory of the strength of bundles of threads. I
- Statistical models based on counting processes
- A mixture model combining logistic regression with proportional hazards regression
This page was built for publication: Proportional hazards models for survival data with long-term survivors