hdcuremodels: Penalized Mixture Cure Models for High-Dimensional Data
Author:
Fu Han,
Archer Kellie J.ORCID
Publisher
The R Foundation
Reference4 articles.
1. Archer KJ, Fu H, Mrozek K, Nicolet D, Mims AS, Uy GL, Stock W, Byrd JC, Hiddemann W, Braess J, Spiekermann K, Metzeler KH, Herold T, Eisfeld A (2024). "Identifying long-term survivors and those at higher or lower risk of relapse among patients with cytogenetically normal acute myeloid leukemia using a high-dimensional mixture cure model." _Journal of Hematology & Oncology_, *17*, 28. .
2. Fu H, Nicolet D, Mrozek K, Stone RM, Eisfeld A, Byrd JC, Archer KJ (2022). "Controlled variable selection in Weibull mixture cure models for high-dimensional data." _Statistics in Medicine_, *41*(22), 8706. .
3. Controlled variable selection in Weibull mixture cure models for high‐dimensional data
4. Identifying long-term survivors and those at higher or lower risk of relapse among patients with cytogenetically normal acute myeloid leukemia using a high-dimensional mixture cure model