Free Statistics Workshops - Statistical Consulting Services
The SCS is pleased to present two upcoming workshops!
Workshop 1: A Practical Introduction to Variable Selection using R – November 13th
Workshop 2: A Practical Introduction to Structural Equation Modeling in R – November 15th
WORKSHOP 1: A Practical Introduction to Variable Selection using R
Presented by: Shuang Yin, Xiaomeng Li, & Jinjian Mu
Abstract:
Variable selection, also known as feature screening, is getting much attention in many research
areas, especially for large ‘omics data sets. This workshop will introduce why we should do
variable selection and some basic variable selection methods including stepwise, forward and
backward regression. The Least absolute shrinkage and selection operator (LASSO) method will
also be covered as a widely used variable selection method. Furthermore, this workshop will
include the elastic net method, which is a combination of the ridge regression and the LASSO
method. All the methods will be implemented in R.
Outline:
1. Why use variable selection?
2. Stepwise forward and backward regression
3. The LASSO method
4. The Elastic Net in R
Location: McHugh Hall (MCHU) 201
Time & Date: 11:00 AM – 12:00 PM, November 13, 2019
Registration: Please register at the following link: https://forms.gle/yWs6JqVnstyLo6va6
WORKSHOP 2: A Practical Introduction to Structural Equation Modeling in R
Presented by: Yulia Sidi, Renjie Chen, & Joochul Lee
Abstract:
Structural equation modeling, also known as SEM, is increasingly being used in research,
particularly in the social sciences. SEM allows for the estimation of complex relationships
between measured variables and latent constructs. In this workshop, we will introduce the
components of the SEM framework. We will also go over a practical implementation of SEM in
R, using the lavaan package. Specifically, we will focus on factor and mediation analyses.
Outline:
1. Latent variable and the basic elements of an SEM
2. Practical demonstration of Factor Analysis in R using lavaan
3. Extension of Factor Analysis – Mediation
Location: Biology Physics Building (BPB) 130
Time & Date: 10:00 AM – 11:00 AM, November 15, 2019
Registration: Please register at the following link: https://forms.gle/yWs6JqVnstyLo6va6
LIVE STREAMING AVAILABLE AT http://ait.uconn.edu/live-streaming
For more information, contact: Tracy Burke at tracy.burke@uconn.edu