Date of Award


Document Type

Open Access Dissertation

Degree Name

Doctor of Philosophy in Statistics (PhD)

Administrative Home Department

Department of Mathematical Sciences

Advisor 1

Qiuying Sha

Committee Member 1

Kui Zhang

Committee Member 2

Xiao Zhang

Committee Member 3

Laura E. Brown


This dissertation includes three Chapters. In Chapter One, we develop a computationally efficient clustering linear combination approach to jointly analyze multiple phenotypes for GWAS. In this paper, based on the existing CLC method and ACAT strategy, we develop the ceCLC method to test association between multiple phenotypes and a genetic variant. In Chapter Two, we develop a novel method called sCLC for association studies of multiple phenotypes and a genetic variant based on GWAS summary statistics. Simulation results show that sCLC can control Type I error rates well and has the highest power in most scenarios. In Chapter Three, we investigate the relationship between health service costs (medical cost, pharmacy cost, and total cost) and diabetic medication adherence for patients with diabetes in the UPHP population. This finding indicates that despite higher pharmacy spending, increasing medication adherence can significantly reduce the medical cost. Moreover, medication adherence based on different medicines has different effects on total healthcare cost and medical cost.

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.