Multiple Imputation in SAS 9.4 Tuesday, January 31 from 9 a.m. to 12 noon in the Visualization Portal, Math Sciences 5628 sign up here. The workshop notes are here.
Description: The purpose of this workshop is to discuss commonly used techniques for handling missing data and common issues that could arise when these techniques are used. In particular, the se workshop will focus on the one of the most commonly used modern methods, multiple imputation. The workshop will cover multiple imputation using the multivariate normal and imputation by chained equations as well as imputation diagnostics.
Applied Survey Data Analysis with Stata Tuesday, February 7 from 9 a.m. to 12 noon in the Visualization Portal, Math Sciences 5628 sign up here. The workshop notes are here.
Description: This workshop will show how descriptive analyses, both numerical and graphical, can be done with continuous and categorical variables. Subpopulation analysis will be discussed, and then examples of OLS regression and logistic regression will be considered.
Introduction to Regression with SPSS Tuesday, February 14 from 9 a.m. to 12 noon in the Visualization Portal, Math Sciences 5628 sign up here. The workshop notes are here.
Description: This workshop will introduce some fundamental topics in regression analysis using SPSS in three parts. The first part will begin with a brief overview of the SPSS environment, as well simple data exploration techniques to ensure accurate analysis using simple and multiple regression. The second part will introduce regression diagnostics such as checking for normality of residuals, unusual and influential data, homoscedasticity and multicollinearity. The third part of this workshop will introduce categorical variables. Special attention will be given to interpreting a two-way categorical interaction with dummy variables and multiple-category predictors.
Introduction to R Tuesday, February 28 from 9 a.m. to 12 noon in in the Visualization Portal, Math Sciences 5628
sign up here. The workshop notes are here.
Description: R is a powerful statistical package that runs on many platforms, including Windows, Macintosh and Unix. This class is designed for people who are just getting started using R. The students in the class will have a hands-on experience using R for statistics, graphics, and data management. The R class notes do not contain any of the computer output. The class notes are not meant to be an R textbook or a reference manual. However, it is possible for individuals to use the class notes to help in learning R even if they don’t enroll in the workshop.
Graphics in R: Introduction to ggplot2 Tuesday, March 7 from 9 a.m. to 12 noon in the Visualization Portal, Math Sciences 5628 sign up here. The workshop notes are here.
Description: This workshop introduces how to use the R ggplot2 package to produce publication-quality graphics, particularly for data analysis accompanying a planned regression model. First, the underlying grammar (system) of graphics is introduced with demonstrations. Then the usage of ggplot2 for exploratory graphs, model diagnostics, and presentation of model results is illustrated through 3 examples.
Past Classes and Workshops Available Online
- Introduction to Stata 13/14
- Regression with Stata
- Logistic Regression with Stata
- Beyond Binary Logistic Regression with Stata
- Multiple Imputation in Stata 14
- Introduction to Survey Data Analysis
- Applied Survey Data Analysis
- Survey Data Analysis
- Survival Analysis Using Stata
- Introduction to Programming in Stata
- Introduction to SAS 9.4
- Programming Basics in SAS 9.4
- Analyzing and Visualizing Interactions in SAS 9.4
- Regression with SAS
- Logistic Regression in SAS
- Repeated Measures Analysis in SAS
- Applied Survey Data Analysis using SAS 9.4
- Multiple Imputation in SAS 9.4
- Survival Analysis Using SAS
- Using Arrays in SAS
- Introduction to SAS Macro Language
- Introduction to Regression with SPSS (Version 23)
- Introduction to SPSS version 22 (point-and-click and syntax)
- Introduction to SPSS Syntax, Part1 (using SPSS version 21)
- Introduction to SPSS Syntax, Part 2 (using SPSS version 21)
- Regression with SPSS
- Repeated Measures Analysis in SPSS
- Mediation and Moderation using the SPSS Process Macro
- Graphics using SPSS
Longitudinal Data Analysis
- Longitudinal Research: Present Status and Future Prospects by Judith Singer & John Willett
- Analyzing Longitudinal Data using Multilevel Modeling
- Deciphering Interactions in Logistic Regression
- Regression Models with Count Data
- Statistical Writing