Multiple imputation of masked competing risks data using machine learning algorithms
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Publication:5055242
DOI10.1080/00949655.2022.2063864OpenAlexW4224232374MaRDI QIDQ5055242
Firoozeh Haghighi, Hasan Misaii, Samaneh Eftekhari Mahabadi
Publication date: 13 December 2022
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2022.2063864
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- Dependent masking and system life data analysis: Bayesian inference for two-component systems
- Bayesian reliability modeling for masked system lifetime data
- Maximum likelihood analysis of masked series system lifetime data
- Nonparametric Bayesian Analysis of Competing Risks Problem with Masked Data
- Multiple Imputation Methods for Estimating Regression Coefficients in the Competing Risks Model with Missing Cause of Failure
- Bayesian Analysis of Competing Risks with Partially Masked Cause of Failure
- An Introduction to Statistical Learning
- Analysis of masked competing risks data with cause and time dependent masking mechanism
- Multiple imputation of masked competing risks data using machine learning algorithms
- Bayesian analysis for dependent competing risks model with masked causes of failure in step-stress accelerated life test under progressive hybrid censoring
- Inference for a series system with dependent masked data under progressive interval censoring
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