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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Missing Data Online: May 11-June 8
We are excited to present our very first online 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.
Registration must be completed by May 10.  
More information can be found here
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 Modeling 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.

We are on Twitter!




Stephen Borgatti
Stephen P. Borgatti, Ph.D., is the Paul Chellgren Endowed Chair of Management at the University of Kentucky.


Kevin Grimm
Kevin Grimm, Ph.D., is Professor of Psychology at Arizona State University.

Gregory Hancock
Gregory Hancock, Ph.D., is Professor and Program Director of Measurement, Statistics and Evaluation in the Department of Human Development and Quantitative Methodology at the University of Maryland, College Park.








Causal Inference with
Directed Graphs

Felix Elwert, Instructor
April 20-21, Philadelphia

Machine Learning
Kevin Grimm, Instructor
April 20-21, Philadelphia
Sold Out

Latent Growth Curve Modeling
Gregory Hancock, Instructor
April 27-28, Philadelphia

Introduction to Social
Network Analysis

Stephen Borgatti, Instructor
April 27-28, Philadelphia

Longitudinal Data Analysis Using
Structural Equation Modeling

Paul Allison, Instructor
May 17-18, Los Angeles

Treatment Effects Analysis
Stephen Vaisey, Instructor
May 17-18, Los Angeles

Scale Construction and Development
Tenko Raykov, Instructor
May 31-June 1, Philadelphia
Early registration deadline is 
April 30

Text As Data
Christopher Bail, Instructor
May 31-June 1, Philadelphia
Early registration deadline is 
April 30


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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.