A semiparametric mixture cure survival model for left-truncated and right-censored data
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Publication:2980223
DOI10.1002/bimj.201500267zbMath1365.62412OpenAlexW2551679874WikidataQ31144274 ScholiaQ31144274MaRDI QIDQ2980223
Lichi Lin, Chyong-Mei Chen, Pao-sheng Shen, James Cheng-Chung Wei
Publication date: 28 April 2017
Published in: Biometrical Journal (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/bimj.201500267
Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10) Censored data models (62N01)
Related Items (6)
Evaluating Medical Underwriters in Life Settlements: Problem of Unreported Deaths ⋮ A flexible parametric approach for analyzing arbitrarily censored data that are potentially subject to left truncation under the proportional hazards model ⋮ U-Statistics for left truncated and right censored data ⋮ Semiparametric estimation for cure survival model with left-truncated and right-censored data and covariate measurement error ⋮ A nonparametric maximum likelihood approach for survival data with observed cured subjects, left truncation and right-censoring ⋮ Prediction accuracy measures for time-to-event models with left-truncated and right-censored data
Cites Work
- Unnamed Item
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- A class of semiparametric transformation models for survival data with a cured proportion
- Semiparametric analysis of transformation models with left-truncated and right-censored data
- Checking semiparametric transformation models with censored data
- Combined estimating equation approaches for semiparametric transformation models with length-biased survival data
- On semiparametric transformation cure models
- Weighted Breslow-type and maximum likelihood estimation in semiparametric transformation models
- Limited Failure Population Life Tests: Application to Integrated Circuit Reliability
- A Semiparametric Model for Randomly Truncated Data
- Analysis of transformation models with censored data
- Nonparametric Estimation from Cross-Sectional Survival Data
- Estimating the proportion of immunes in a censored sample
- Maximum Likelihood Estimation in the Proportional Odds Model
- Semiparametric analysis of transformation models with censored data
- Semiparametric Inference in the Proportional Odds Regression Model
- Two‐Component Mixture Cure Rate Model with Spline Estimated Nonparametric Components
- Estimation in a Cox Proportional Hazards Cure Model
- A Nonparametric Mixture Model for Cure Rate Estimation
- A Unified Approach to Semiparametric Transformation Models Under General Biased Sampling Schemes
- A Semiparametric Regression Cure Model for Interval-Censored Data
- A Class of Semiparametric Mixture Cure Survival Models With Dependent Censoring
- Semiparametric Efficient Estimation for a Class of Generalized Proportional Odds Cure Models
- Semiparametric Transformation Models for Survival Data With a Cure Fraction
- A mixture model combining logistic regression with proportional hazards regression
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