Handling censoring and censored data in survival analysis: a standalone systematic literature review
DOI10.1155/2021/9307475zbMath1483.62173OpenAlexW3203084907MaRDI QIDQ2238452
F. Ayiah-Mensah, Anthony Joe Turkson, Vivian Nimoh
Publication date: 1 November 2021
Published in: International Journal of Mathematics and Mathematical Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2021/9307475
Applications of statistics to biology and medical sciences; meta analysis (62P10) Research exposition (monographs, survey articles) pertaining to statistics (62-02) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)
Uses Software
Cites Work
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- Survival analysis. Techniques for censored and truncated data
- Frequentist and Bayesian approaches for interval-censored data
- New approaches for censored longitudinal data in joint modelling of longitudinal and survival data, with application to HIV vaccine studies
- Bayesian perspective on random censored survival data
- Nonparametric Estimation from Incomplete Observations
- Survival Analysis for Epidemiologic and Medical Research
- Introductory Biostatistics
- Censored Regression Quantiles
- Cox regression model with randomly censored covariates
- Analysis of dependently censored data Based on quantile regression
- Statistical models based on counting processes
- Survival analysis. A self-learning text.
- Bayesian analysis of survival data with missing censoring indicators
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