Date of Award

2020

Publisher

North Dakota State University

Document Type

Thesis

Degree Awarded

Master of Science (MS)

Program

Statistics

Department

Statistics

College

Science and Mathematics

Faculty Advisor

Orr, Megan

Description

Propensity scores were used to assess covariate balance between black and white groups in each lung cancer stage of a large data set. Pairwise log rank tests were used to test the equality of survival distribution for treatment and race groups. Cox regression models were used to estimate the hazard ratios for each treatment in all stages. In stage one, radiation and surgery was found the best treatment. In stage two, treatment chemotherapy was found as the best option. Radiation and chemo were found to be the best treatment combinations in stage three. Based on hazard ratios, the treatment chemo was the best for stage four. Statistically significant differences in survival curves were found between different gender and race combinations in stages one and three, but not in stages two or four.

Rights

NDSU policy 190.6.2

Rights Link

https://www.ndsu.edu/fileadmin/policy/190.pdf

Handle Identifier

https://hdl.handle.net/10365/32343

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