Workshop Description (Advanced Course)

Through this seminar, attendees will know when and how to use regression models for different data analysis tasks. Regression models are powerful tools for solving various problems in scientific analysis, and can be easily applied using R packages. Attendees will also learn some widely misused statistical models and how to avoid these misuses. The course require basic knowledge of statistics and R. There will be homework assignments each night to solidify the concepts from class. These are short and optional.

Workshop Materials

Linear regression advanced

Generalized linear regression, LASSO

Statistical rigor in biological analysis

Technical Requirements

Helpful to have A basic understanding of R.
We strongly encourage attendees to bring a laptop capable of accessing UCLA’s WiFi.
You need to have R and Rstudio already installed PRIOR to class.


Dr. Xinzhou Ge is a Postdoctoral Fellow in the Department of Computational Medicine with Prof. Jingyi Jessica Li. Arjun’s research focuses on enhancement of statistical rigor in biological data analysis and developing statistical and computational models. He received his BS in Statistics at Peking University and a PhD in Statistics at the University of California, Los Angeles.




Workshop Details

Prerequisites: (W14) Intro to Modern Statistics with R
Length: 3 days, 2 hrs per day
Level: Advanced
Location: Boyer 529
Seats Available: 28

Spring 2023 Dates

May 16, 17, and 18
1:30 PM – 4:30 PM