Penalized regression for left‐truncated and right‐censored survival data

High‐dimensional data are becoming increasingly common in the medical field as large volumes of patient information are collected and processed by high‐throughput screening, electronic health records, and comprehensive genomic testing. Statistical models that attempt to study the effects of many pre...

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Detalles Bibliográficos
Autores principales: McGough, Sarah F., Incerti, Devin, Lyalina, Svetlana, Copping, Ryan, Narasimhan, Balasubramanian, Tibshirani, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9290657/
https://www.ncbi.nlm.nih.gov/pubmed/34302373
http://dx.doi.org/10.1002/sim.9136

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9290657/
https://www.ncbi.nlm.nih.gov/pubmed/34302373
http://dx.doi.org/10.1002/sim.9136

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