Two-sample test based on empirical likelihood ratio under semi-competing risks data
From MaRDI portal
Publication:5081058
DOI10.1080/03610926.2020.1793363OpenAlexW3042223502MaRDI QIDQ5081058
Publication date: 1 June 2022
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2020.1793363
maximum likelihood estimationempirical likelihood ratio testtwo-sample comparisonsemi-competing risks data
Cites Work
- Maximum likelihood analysis of semicompeting risks data with semiparametric regression models
- Survival analysis. Techniques for censored and truncated data.
- Simultaneous confidence bands for ratios of survival functions via empirical likelihood.
- On nonparametric likelihood ratio estimation of survival probabilities for censored data
- Empirical likelihood for the difference of two survival functions under right censorship
- On semi-competing risks data
- Nonparametric Estimation from Incomplete Observations
- Regression Analysis Based on Semicompeting Risks Data
- Likelihood-Based Inference for Semi-Competing Risks
- Estimating Survival and Association in a Semicompeting Risks Model
This page was built for publication: Two-sample test based on empirical likelihood ratio under semi-competing risks data
