We are looking forward to a great 2019 and the exciting things in store, including new seminars, new instructors, and the return of some of our most popular courses. 

Be the first to experience our newest seminars-

Finite Mixture Modeling taught by Jeffrey Harring on May 3-4 in Philadelphia. Finite mixture modeling (FMM), commonly referred to as model-based clustering methods, has been applied to a wide variety of cross-sectional and longitudinal data to account for heterogeneity in population characteristics. This two-day seminar will give you the theoretical background and practical skills to address interesting research questions using FMM.

Experimental Methods taught by Michael Gaddis on May 16-17 in Philadelphia This seminar is a moderately-paced introduction to experimental methods that will leave researchers able to begin designing their own experiments and embarking on data collection.

Matching and Weighting for Causal Inference with R taught by Stephen Vaisey on June 6-7 in Chicago. This course offers an in-depth introduction to matching and weighting methods using the R package. Matching and weighting are quasi-experimental techniques for estimating causal effects from observational data using the potential outcomes or counterfactual framework.

This spring and summer you can find us in Ft. Myers, San Diego, Philadelphia, Atlanta, Chicago, Boston, and Los Angeles. Some of our most popular seminars will be offered including Machine Learning, Causal Mediation Analysis, and Longitudinal Data Analysis. Our schedule through August is available here.

We are on Twitter!
Follow @StatHorizons