Date of Award
12-2020
Degree Type
Creative Project
Degree Name
Master of Science (MS)
Department
Mathematics and Statistics
Committee Chair(s)
Chris Corcoran
Committee
Chris Corcoran
Committee
Daniel Coster
Committee
Yan Sun
Abstract
Conventional asymptotic methods for survival analysis work well when sample sizes are at least moderately sufficient. When dealing with small sample sizes or rare events, the results from these methods have the potential to be inaccurate or misleading. To handle such data, an exact method is proposed and compared against two other methods: 1) the Cox proportional hazards model and 2) stratified logistic regression for discrete survival analysis data.
Recommended Citation
Reutzel, Kristina, "Survival Analysis: An Exact Method for Rare Events" (2020). All Graduate Plan B and other Reports, Spring 1920 to Spring 2023. 1509.
https://digitalcommons.usu.edu/gradreports/1509
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