Nonparametric estimation of the survival function from censored data based on relative risk function
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Publication:4213996
DOI10.1080/03610929808832205zbMath0930.62031OpenAlexW2093192004MaRDI QIDQ4213996
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Publication date: 16 February 2000
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610929808832205
Related Items (10)
Estimation of conditional jointly survival function under dependent right random censored data ⋮ The new robust two-sample test for randomly right-censored data ⋮ Estimation of conditional distribution function under nonparametric regression with fixed design ⋮ Semiparametric estimation of distribution function in the informative model of competing risks ⋮ Estimating the distribution function using parametric methods in informative model of random censorship from both sides ⋮ Unnamed Item ⋮ Nonparametric estimation of distribution function under right random censoring based on presmoothed relative-risk function ⋮ Unnamed Item ⋮ Estimation of Survival Function in Cox Regression Model Under Random Censoring From Both Sides ⋮ Chi-squared goodness-of-fit theory under proportional censorship
Cites Work
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- Maximum likelihood estimation of a survival function under the Koziol- Green proportional hazards model
- A correction to and improvement of: ``Strong approximations of some biometric estimates under random censorship
- A large sample study of the life table and product limit estimates under random censorship
- Asymptotic Minimax Character of the Sample Distribution Function and of the Classical Multinomial Estimator
- Nonparametric Estimation from Incomplete Observations
- Two-Sample Tests of Cramér--von Mises- and Kolmogorov--Smirnov-Type for Randomly Censored Data
- Asymtotic results for the koziol-green model
- Rank Tests and a One-Sample Logrank Test for Comparing Observed Survival Data to a Standard Population
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