Degree Name
MS (Master of Science)
Program
Mathematical Sciences
Date of Award
8-2019
Committee Chair or Co-Chairs
JeanMarie Hendrickson
Committee Members
Robert Price, Nicole Lewis
Abstract
An efficient way of analyzing survival clinical data such as cancer data is a great concern to health experts. In this study, we investigate and propose an efficient way of handling survival clinical data. Simulation studies were conducted to compare performances of various forms of survival model techniques using an R package ``survsim". Models performance was conducted with varying sample sizes as small ($n5000$). For small and mild samples, the performance of the semi-parametric outperform or approximate the performance of the parametric model. However, for large samples, the parametric model outperforms the semi-parametric model. We compared the effectiveness and reliability of our proposed techniques using a real clinical data of mild sample size. Finally, systematic steps on how to model and explain the proposed techniques on real survival clinical data was provided.
Document Type
Thesis - unrestricted
Recommended Citation
Nwi-Mozu, Isaac, "Robustness of Semi-Parametric Survival Model: Simulation Studies and Application to Clinical Data" (2019). Electronic Theses and Dissertations. Paper 3618. https://dc.etsu.edu/etd/3618
Copyright
Copyright by the authors.