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 |
Files in This Item:
File | Description | Size | Format | |
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FullTextv3.pdf | Embargoed until publication | 634.37 kB | Adobe PDF | View/Open |
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