A fast algorithm for the accelerated failure time model with high-dimensional time-to-event data
| Autor: | Taehwa Choi, Sangbum Choi |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Statistics and Probability
Statistics::Theory 021103 operations research Statistics::Applications Applied Mathematics 0211 other engineering and technologies Linear model Feature selection 02 engineering and technology Accelerated failure time model 01 natural sciences Regularization (mathematics) Fast algorithm 010104 statistics & probability Modeling and Simulation Kernel smoother Statistics::Methodology 0101 mathematics Statistics Probability and Uncertainty Coordinate descent Algorithm Smoothing Mathematics |
| Zdroj: | Journal of Statistical Computation and Simulation. 91:3385-3403 |
| ISSN: | 1563-5163 0094-9655 |
| Popis: | We propose the logistic-kernel smoothing procedure for the semiparametric accelerated failure time (AFT) model with high-dimensional right-censored data. The resulting estimating procedure permits ... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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