An inverse-probability-weighted approach to the estimation of distribution function with middle-censored data
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Publication:963874
DOI10.1016/j.jspi.2010.01.009zbMath1184.62054OpenAlexW4230402255MaRDI QIDQ963874
Publication date: 14 April 2010
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jspi.2010.01.009
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Cites Work
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- Asymptotic properties of self-consistent estimators based on doubly censored data
- Weak convergence of a self-consistent estimator of the survival function with doubly censored data
- On computation of NPMLE for middle-censored data
- A large sample study of generalized maximum likelihood estimators from incomplete data via self-consistency
- Strong consistency of a nonparametric estimator of the survival function with doubly censored data
- Algorithms for computing self-consistent and maximum likelihood estimators with doubly censored data
- Nonparametric estimation of the bivariate survival function with truncated data
- Approximate self consistency for middle-censored data
- Weak convergence and empirical processes. With applications to statistics
- Nonparametric Estimation from Incomplete Observations
- Product limit estimates: a generalized maximum likelihood study
- Nonparametric estimation for middle-censored data
- Correcting for Noncompliance and Dependent Censoring in an AIDS Clinical Trial with Inverse Probability of Censoring Weighted (IPCW) Log‐Rank Tests
- The Product-Limit Estimate as an Inverse-Probability-Weighted Average
- Nonparametric Estimation of a Survivorship Function with Doubly Censored Data
- Efficiency. of infinite dimensional M‐ estimators
- The Kaplan–Meier Estimator as an Inverse-Probability-of-Censoring Weighted Average
- On Weak Convergence of Stochastic Processes with Multidimensional Time Parameter
- Estimating a distribution function with truncated data
