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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Treatment Effects Analysis Online: June 22 -July 20
We are excited to present a brand new online version of our Treatment Effects Analysis course. It will consist of a series of four weekly installments of videos, quizzes, readings, and assignments, and requires about 10 hours/week. You may participate at your own convenience; there are no set times when you are required to be online.
Recent Blog Post: “For Causal Analysis of Competing Risks, Don’t Use Fine & Gray’s Subdistribution Method”
Dr. Allison argues that one of the more popular methods for regression analysis of competing risks—the analysis of subdistribution hazards, introduced by Fine and Gray (1999)—is not valid for causal inference. Instead, he recommends the traditional method of analyzing cause-specific hazards, treating competing events as censoring.  
5-Day Summer Seminars at Statistical Horizons!
Chicago, July 16-20
Philadelphia, July 30-August 3
We will be introducing two new seminars, Multilevel and Mixed Models Using R on July 31-August 1 and Longitudinal Data Analysis Using R August 2-3 in Philadelphia. These courses can be taken separately or combined.

For a full list of our spring and summer 2018 seminars, click here.

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Felix Elwert
Felix Elwert, Ph.D., is the Romnes Professor of Sociology, and affiliated Professor of Biostatistics and Medical Informatics, and Population Health Sciences at the University of Wisconsin–Madison.



Andrew Hayes
Andrew F. Hayes, Ph.D., is Professor of Quantitative Psychology at the Ohio State University.


Stephen Vaisey
Stephen Vaisey, Ph.D. is a Professor of Sociology at Duke University where he teaches the doctoral statistics sequence.








Treatment Effects Analysis Online
Stephen Vaisey, Instructor
June 22-July 20

Causal Inference with Directed Graphs
Felix Elwert, Instructor
July 2-3, Berlin

Mediation, Moderation, and Conditional
Process Analysis
Andrew Hayes, Instructor
July 16-20, Chicago
Early registration deadline is 
June 18

Structural Equation Modeling
Paul Allison, Instructor
July 16-20, Chicago
Early registration deadline is 
June 18

Multilevel Structural Equation Modeling
Kristopher Preacher, Instructor
July 30-August 3, Philadelphia
Early registration deadline is
July 2

Multilevel and Mixed Models Using R
Stephen Vaisey, Instructor
July 31-August 1, Philadelphia
Early registration deadline is 
July 2

Longitudinal Data Analysis Using R
Stephen Vaisey, Instructor
August 2-3, Philadelphia
Early registration deadline is 
July 2

Linear Regression Using Stata
Paul Allison, Instructor
August 14-15, Stockholm

Structural Equation Modeling Using Stata
Paul Allison, Instructor
August 16-17, Stockholm


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Allison Pic

Paul D. Allison, Ph.D., is Professor of Sociology at the University of Pennsylvania where he teaches research methods and statistics. He has been offering short courses in statistics for over 30 years.