Exposure assessment for Cox proportional hazards cure models with interval‐censored survival data
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Publication:6089751
DOI10.1002/bimj.202000271zbMath1523.62229MaRDI QIDQ6089751
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Publication date: 15 December 2023
Published in: Biometrical Journal (Search for Journal in Brave)
piecewise linear approximationmixture cure modelinterval-censoredfractional polynomialsrestricted cubic splinesoverall exposure effect
Cites Work
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- Mixture cure models for multivariate survival data
- A class of semiparametric cure models with current status data
- Parametric survival models for interval-censored data with time-dependent covariates
- Efficient Estimation for the Accelerated Failure Time Model
- Testing for Sufficient Follow-Up and Outliers in Survival Data
- Semi-Parametric Estimation in Failure Time Mixture Models
- 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
- Residual‐based model diagnosis methods for mixture cure models
- A sup‐score test for the cure fraction in mixture models for long‐term survivors
- Identifiability of cure models
- A mixture model combining logistic regression with proportional hazards regression
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