Non-parametric hypothesis testing and confidence intervals with doubly censored data

DOI10.1023/A:1021834206327zbMath1116.62342OpenAlexW174780826WikidataQ30771829 ScholiaQ30771829MaRDI QIDQ1423298

Kun Chen, Mai Zhou

Publication date: 14 February 2004

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/a:1021834206327

zbMATH Keywords

EM algorithminfluence functionempirical likelihood ratiomodified self-consistent algorithm

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Censored data models (62N01) Nonparametric tolerance and confidence regions (62G15) Testing in survival analysis and censored data (62N03)

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Empirical likelihood ratio confidence intervals in terms of cumulative hazard function for left-truncated and right-censored data ⋮ Asymptotic distribution of the nonparametric distribution estimator based on a martingale approach in doubly censored data ⋮ Simple resampling methods of approximating the distribution of LAD estimators for doubly censored regression models ⋮ A Wald-type variance estimation for the nonparametric distribution estimators for doubly censored data ⋮ LAD-Lasso variable selection for doubly censored median regression models ⋮ LAD Estimation for Multiple Regression Models with Doubly Censored Data ⋮ Simultaneous marginal survival estimators when doubly censored data is present ⋮ Smoothed weighted empirical likelihood ratio confidence intervals for quantiles ⋮ On Consistencies of the Profile Likelihood Estimators and their Derivatives of the Distribution Function in Doubly Censored Data

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