Date of Award
8-29-2023
Document Type
Thesis
Degree Name
Mathematics, MS
First Advisor
Hao Yang Teng
Committee Members
Hao Yang Teng; Hong Zhou; Jie Miao
Call Number
LD 251 .A566t 2023 R44
Abstract
Medical data models aim to evaluate the effectiveness of different treatments in a patient population, and to determine the relative and absolute treatment effects. The aim of this thesis is to evaluate the use of the traditional model when relative treatment effects exists and further develops a new model to account for both the absolute and relative treatment effects for a continuous response. The new model can be seen as a generalization of the traditional model by incorporating the relative treatment effect. It is shown in the simulation studies and real data set that the new model is able to capture the relative treatment effects and outperforms the conventional methods.
Rights Management
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Regmi, Sangit, "Topics In Absolute and Relative Treatment Effects in Medical Data Models and Applications with a Continuous Response" (2023). Student Theses and Dissertations. 164.
https://arch.astate.edu/all-etd/164
