Penalized variable selection for cause‐specific hazard frailty models with clustered competing‐risks data
Author:
Affiliation:
1. Department of Statistics Seoul National University Seoul South Korea
2. Department of Statistics Pukyong National University Busan South Korea
Publisher
Wiley
Subject
Statistics and Probability,Epidemiology
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.9197
Reference48 articles.
1. The Analysis of Failure Times in the Presence of Competing Risks
2. A Proportional Hazards Model for the Subdistribution of a Competing Risk
3. Estimating and testing for center effects in competing risks
4. Frailty-Based Competing Risks Model for Multivariate Survival Data
5. Hierarchical likelihood inference on clustered competing risks data
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1. Joint AFT random-effect modeling approach for clustered competing-risks data;Journal of Statistical Computation and Simulation;2024-03-03
2. EXPLORING THE MODIFIED GAMMA FRAILTY DISTRIBUTION: AN OPTIMAL DESIGN APPROACH USING PYTHON;FUDMA JOURNAL OF SCIENCES;2023-10-03
3. Shared Frailty Methods for Complex Survival Data: A Review of Recent Advances;Annual Review of Statistics and Its Application;2023-03-10
4. A review of h-likelihood for survival analysis;Japanese Journal of Statistics and Data Science;2021-05-27
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