The Jackknife estimate of covariance of two Kaplan–Meier integrals with covariables
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Publication:3462135
DOI10.1080/02331888.2014.960871zbMath1337.62099OpenAlexW1993332551MaRDI QIDQ3462135
Jacobo de Uña-Álvarez, Winfried Stute, Leyla Azarang
Publication date: 4 January 2016
Published in: Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02331888.2014.960871
Asymptotic properties of nonparametric inference (62G20) Nonparametric statistical resampling methods (62G09) Estimation in survival analysis and censored data (62N02)
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Cites Work
- Adjusted regularized estimation in the accelerated failure time model with high dimensional covariates
- A simple estimator of the bivariate distribution function for censored gap times
- M-estimation of the accelerated failure time model under a convex discrepancy function
- The jackknife estimate of variance of a Kaplan-Meier integral
- The central limit theorem under random censorship
- Identification of breast cancer prognosis markers via integrative analysis
- Maximum likelihood estimation for conditional distribution single-index models under censoring
- Consistent estimation under random censorship when covariables are present
- Nonparametric regression estimates with censored data based on block thresholding method
- Nonlinear Censored Regression Using Synthetic Data
- Uniform Representation of Product‐Limit Integrals with Applications
- Nonparametric estimation of transition probabilities in a non-Markov illness-death model
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