Skip to main content
Open Access Publications from the University of California


UCLA Electronic Theses and Dissertations bannerUCLA

Statistical Methods for Multivariate Genetic Analysis

  • Author(s): Ji, Soo Min
  • Advisor(s): Zhou, Hua;
  • Lange, Kenneth L.
  • et al.

This dissertation develops statistical and computational methods for human genetics. We consider modern solutions to estimate the power of proposed genetic studies, and propose an alternative to the mixed model framework for analysis on non-Gaussian distributions. The methods we develop are designed for multivariate simulation and analysis in high dimensions. We implement our methods in individual, open-sourced Julia packages. They are freely available to the scientific community through the OpenMendel platform.

Main Content
For improved accessibility of PDF content, download the file to your device.
Current View