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## February 2019

### Introduction to Regression in R

Regression analysis is one of the most powerful statistical techniques that is used to explain variability in a response (dependent) variable as a function of one or more predictor (explanatory or independent) variables. The aim of this seminar is to help participants increase their skills in using regression analysis with R. The seminar does not teach regression, per se, but focuses on how to perform regression analyses using R. However, it gives a very brief review on the theoretical background as necessary. It…

Find out more »### R Markdown Basics

R Markdown files integrate text, Markdown, and R code into dynamic documents that weave together plain text, formatted text, and the output of the R code. The resulting dynamic reports can be produced in many formats, including HTML documents, HTML slideshows, LaTeX pdf, Beamer slideshows, MS Word doc, books, scientific articles, and websites. This seminar covers basic coding and conventions of the 3 frameworks upon which R Markdown depends: Markdown for formatting text, knitr for R code chunks, and YAML…

Find out more »## March 2019

## April 2019

### Introduction to ggplot2

Description: The ggplot2 package is a widely-used and well-supported system for creating eye-catching graphics in R. In this interactive seminar, you will learn the underlying grammar of graphics that forms the philosophical framework of ggplot2, giving you the power to create publication-quality figures intuitively. The workshop is interactive, in which attendees are encouraged to participate in R coding to create their own statistical graphics. The workshop will be held in Math Sciences 5628 (the IDRE Visualization Portal) The notes for…

Find out more »### Causal Inference for Complex Observational Data

Observational data often have issues which present challenges for the data analyst. The treatment status or exposure of interest is often not assigned randomly. Data are sometimes missing not at random (MNAR) which can lead to sample selection bias. And many statistical models for these data must account for unobserved confounding. This talk will demonstrate how to use standard maximum likelihood estimation to fit extended regression models (ERMs) that deal with all of these common issues alone or simultaneously.

Find out more »### Introduction to Bayesian Statistics Using Stata

Bayesian analysis has become a popular tool for many statistical applications. Yet many data analysts have little training in the theory of Bayesian analysis and software used to fit Bayesian models. This talk will provide an intuitive introduction to the concepts of Bayesian analysis and demonstrate how to fit Bayesian models using Stata. No prior knowledge of Bayesian analysis is necessary and specific topics will include the relationship between likelihood functions, prior, and posterior distributions, Markov Chain Monte Carlo (MCMC)…

Find out more »### Decomposing Interactions in R

Description: In regression, we are often interested in an interaction, which is the modification of the effect of an independent variable by another. Interactions can be decomposed in three ways, by 1) testing each effect against zero, 2) testing differences among effects, and 3) graphing. This workshop will demonstrate how to do all three analyses in R for the following interaction models: continuous-by-continuous, categorical-by-continuous, and categorical-by-categorical. Some hands-on exercises will be presented. Some knowledge of linear regression is recommended. The…

Find out more »## May 2019

### Logistic Regression in Stata

Description: This workshop will help increase your skills in using logistic regression analysis with Stata. The workshop does not teach logistic regression, per se, but focuses on how to perform logistic regression analyses and interpret the results using Stata. It is assumed that you have some familiarity with both logistic regression and Stata. The workshop will be held in Math Sciences 5628 (the IDRE Visualization Portal) The notes for the workshop are here. The sign-up link is here. This workshop…

Find out more »### Multiple Imputation in Stata

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, we will focus on the one of the most popular methods, multiple imputation and how to perform it in Stata. The Stata code for this seminar is developed using Stata 15. The workshop will be held in Math Sciences 5628 (the IDRE Visualization Portal) The notes for the workshop are here.…

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