McDevitt & Kline Continuing Education Workshops

Statistics training that makes sense

At Statistical Horizons, you can learn the latest statistical methods in an efficient, affordable and enjoyable manner. We offer short seminars on a wide variety of popular statistical methods—methods that are not offered in many graduate programs. Our instructors are all well-known experts in their fields. They are also outstanding teachers who are highly skilled at making statistics understandable.

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click here to View Our Seminar Schedule



New Blog Post

Making Your First GitHub R Project: Check out the Code Horizons blog, where Aaron Gullickson explains the benefits of using git for R projects and how to create your first repository using GitHub.

Learn Statistics On Demand

Longitudinal Data Analysis Using Structural Equation Modeling taught by Paul Allison on September 27-October 25, 2021. This seminar takes a deep dive into the ML-SEM method for estimating dynamic panel models, exploring the ins and outs of assumptions, model specification, software programming, model evaluation and interpretation of results.

Survival Analysis with Paul Allison on November 1-29, 2021. This seminar covers both the theory and practice of statistical methods for event-time data. It will provide a thorough introduction to such topics as censoring, Kaplan-Meier estimation, Cox regression, discrete-time methods, competing risks, and repeated events. 


Join Matthew Diemer, Professor at the University of Michigan in the Combined Program in Education & Psychology (CPEP) and in the Educational Studies program, on November 18-20 for Psychometrics.

Paul Smaldino, Associate Professor of Cognitive and Information Sciences and faculty in the Quantitative and Systems Biology graduate group at the University of California, Merced, will teach Introduction to Agent-Based Modeling on December 2-4.


New dates are being added weekly. Click here to see our current calendar.

Code Horizons

Have you checked out the new Code Horizons website? Click here to learn about our newest initiative.

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Aaron Gullickson
Aaron Gullickson, Ph.D., is Associate Professor of Sociology at the University of Oregon. 

Shenyang Guo
Shenyang Guo, Ph.D., is the Frank J. Bruno Distinguished Professor of Social Work Research in the George Warren Brown School of Social Work at Washington University in St. Louis.

Ross Jacobucci
Ross Jacobucci is Assistant Professor in Quantitative Psychology at the University of Notre Dame.




Longitudinal Data Analysis Using
Structural Equation Modeling

On Demand
Paul Allison, Instructor
September 27-October 25

GitHub for Data Analysis*
Remote Seminar
Aaron Gullickson, Instructor
September 30-October 2

Propensity Score Analysis
Remote Seminar
Shenyang Guo, Instructor
September 30-October 2

Workflow of Data Analysis
Using Stata

Remote Seminar
Bianca Manago, Instructor
October 7-9

Advanced Machine Learning
Remote Seminar
Ross Jacobucci, Instructor
October 7-9

Statistics with R*
Remote Seminar
Andrew Miles, Instructor
October 14-16

Difference in Differences
Remote Seminar
Pedro H. C. Sant’Anna, Instructor
October 14-16

Multilevel Modeling:
Second Course

Remote Seminar
Kristopher Preacher, Instructor
October 21-23

Instrumental Variables
Remote Seminar
Felix Elwert, Instructor
October 21-23


now available


We have an exciting giveaway for members of the Statistical Horizons community! For the first time, you can now download a complimentary copy of Dr. Paul Allison’s Fixed Effects Regression Methods for Longitudinal Data
Using SAS

Need advice on

which seminar to take?

One of our senior instructors would be happy to talk with you (by email or phone) about finding the best fit for your background, interests and needs. Email us at to set up your recommendation session.

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Allison Pic

Paul D. Allison, Ph.D., is President of Statistical Horizons and Professor Emeritus of the University of Pennsylvania. He has been offering short courses in statistics for over 30 years.