Survival function estimation when lifetime and censoring time are dependent
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Publication:1414607
DOI10.1016/S0047-259X(03)00027-7zbMath1030.62079MaRDI QIDQ1414607
Nader Ebrahimi, Daniel F. Molefe
Publication date: 4 December 2003
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Density estimation (62G07) Asymptotic distribution theory in statistics (62E20) Asymptotic properties of nonparametric inference (62G20) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)
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- Smoothing parameter selection in hazard estimation
- The estimation of the hazard function from randomly censored data by the kernel method
- Large sample estimates and uniform confidence bounds for the failure rate function based on a naive estimator
- Consistent bandwidth selection for kernel binary regression
- Smoothing methods in statistics
- Nonparametric Estimation from Incomplete Observations
- Dependent competing risks and summary survival curves
- Kernel Estimators of the Failure-Rate Function and Density Estimation: An Analogy
- Independent or dependent competing risks: does it make a difference
- Expressing the Kaplan-Meier Estimator as a Function of Empirical Subsurvival Functions
- Estimates of marginal survival for dependent competing risks based on an assumed copula
- Hazard analysis. I
- Joint Asymptotic Distribution of the Estimated Regression Function at a Finite Number of Distinct Points