Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/28519
Title: Optimal subsampling proportional subdistribution hazards regression with rare events in big data
Authors: Li, E
Yu, K
Tang, ML
Tian, M
Keywords: big data;competing risks data;optimal subsampling
Issue Date: 2024
Publisher: International Press
Citation: Li, E. et al. (2024) 'Optimal subsampling proportional subdistribution hazards regression with rare events in big data', Statistics and its Interface, 0 (accepted, in press), pp. 1 - 17.
Abstract: ...
Description: The data set is provided by Surveillance Research Program, National Cancer Institute SEER*Stat software (seer.cancer.gov/seerstat) version 8.3.9.1.
URI: https://bura.brunel.ac.uk/handle/2438/28519
ISSN: 1938-7989
Other Identifiers: ORCiD: Man-Lai Tang https://orcid.org/0000-0003-3934-2676
ORCiD: Keming Yu https://orcid.org/0000-0001-6341-8402
Appears in Collections:Dept of Mathematics Embargoed Research Papers

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