CHECK OUT OUR 2022 SCHEDULE
With the new year comes new seminars! Some of our most popular seminars will return along with the introduction of some new ones.
Learn the how and why of econometric analysis of observational data with Econometrics: A Causal Approach. Be one of the first to take this hands-on seminar that provides an intensive introduction of econometrics and includes a deep exploration of regression and identification. The seminar will be taught by Nick Huntington-Klein on January 20-22, 2022.
Categorical Data Analysis, another brand-new seminar, will focus on interpreting and learning to deal with the complications introduced by nonlinear models when answering behavioral, health, and social science questions. Trenton Mize will teach this on January 27-29, 2022.
Let’s welcome Seth Flaxman, Associate Professor in the Department of Computer Science at the University of Oxford, to Statistical Horizons. He will teach Machine Learning on January 13-15.
Learn Statistics On Demand
Treatment Effect Analysis with Stephen Vaisey focuses on matching and weighting cross-sectional observational data to obtain better causal estimates of treatment effects. Register now for the December 6, 2021-January 3, 2022 seminar.
Sign up for Missing Data with Paul Allison to cover the theory and practice of two modern methods for handling missing data: multiple imputation and maximum likelihood. This seminar will take place January 3-31, 2022.
Already have some prior experience with multilevel modeling and want to deepen and extend your knowledge? Register for Multilevel Modeling: A Second Course with Kris Preacher from February 7-March 7, 2022.
Finally, learn about some recent developments in causal mediation with Tyler VanderWeele. Registration is now open for Causal Mediation Analysis from May 9-June 6.
Coding has become a necessary skill for today’s researchers to collect, organize, analyze, visualize, and communicate their data. Check out Statistical Horizons sister company, Code Horizons, to learn the skills you need to take your work to the next level.