Bayesian Cox regression for large-scale inference with applications to electronic health records
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Publication:6104093
DOI10.1214/22-aoas1658arXiv2106.10057OpenAlexW4367598675MaRDI QIDQ6104093
Moritz Gerstung, Alexander Wolfgang Jung
Publication date: 5 June 2023
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2106.10057
Cites Work
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- Coordinate descent algorithms for nonconvex penalized regression, with applications to biological feature selection
- The Adaptive Lasso and Its Oracle Properties
- Cox's regression model for counting processes: A large sample study
- Generating random correlation matrices based on vines and extended onion method
- A cocktail algorithm for solving the elastic net penalized Cox's regression in high dimensions
- Nonparametric Bayes estimators based on beta processes in models for life history data
- Modeling survival data: extending the Cox model
- Bayesian adaptive B-spline estimation in proportional hazards frailty models
- Bayesian variable selection for survival data using inverse moment priors
- A Bayesian justification of Cox's partial likelihood
- Semiparametric Bayesian Analysis of Multiple Event Time Data
- The Bayesian Lasso
- Bayesian lasso regression
- Partial likelihood
- Scalable Bayesian Variable Selection Using Nonlocal Prior Densities in Ultrahigh-dimensional Settings
- Multivariate Survival Analysis with Positive Stable Frailties
- Marginal likelihoods based on Cox's regression and life model
- Adaptive Lasso for Cox's proportional hazards model
- Statistical models based on counting processes
- Bayesian survival analysis
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