Public Seminars

Here is a list of our upcoming seminars. Just click on the course titles for detailed information and registration. If the course title does not have a link, then registration is not yet open. All seminars meet for two full days, unless otherwise noted. Please check back periodically for updates.

For a comprehensive list of past and present Statistical Horizons seminars, please click here.

For questions regarding payment, discounts, and other information, please click here.

Treatment Effects
Analysis Online
Stephen Vaisey, Instructor
May 24-June 21

Longitudinal Data Analysis
Using SAS
Paul Allison, Instructor
May 30-31, Atlanta

Matching and Weighting for Causal Inference with R
Stephen Vaisey, Instructor
June 6-7, Chicago

Statistics With R
Andrew Miles, Instructor
June 6-7, Chicago

Causal Mediation Analysis
Tyler VanderWeele, Instructor
June 14-15, Boston

Survival Analysis
Paul Allison, Instructor
June 14-15, Boston

Longitudinal Data Analysis
Using Stata
Paul Allison, Instructor
June 27-28, Los Angeles
Early registration deadline is
May 28

Machine Learning
Kevin Grimm, Instructor
June 27-28, Los Angeles
Early registration deadline is
May 28

Structural Equation Modeling
Paul Allison, Instructor
July 15-19, Chicago
Early registration deadline is
June 17

Mediation, Moderation, and Conditional Process Analysis
Andrew Hayes, Instructor
July 15-19, Chicago
Early registration deadline is
June 17

Multilevel Structural
Equation Modeling
Kristopher Preacher, Instructor
July 29-August 2, Philadelphia
Early registration deadline is
July 1

Multilevel and Mixed Models
Using R
Stephen Vaisey, Instructor
July 30-31, Philadelphia
Early registration deadline is
July 1

Longitudinal Data Analysis
Using R
Stephen Vaisey, Instructor
August 1-2, Philadelphia
Early registration deadline is
July 1

Introduction to Structural Equation Modeling
Paul Allison, Instructor
August 16-17, Vancouver
Early registration deadline is
July 16

  
FEATURED

INSTRUCTORS

Andrew Miles
Andrew Miles, Ph.D., is an Assistant Professor of Sociology at the University of Toronto where he teaches statistical methods at both the undergraduate and graduate levels.

Stephen Vaisey
Stephen Vaisey, Ph.D. is Professor of Sociology and Political Science and the Director of the Worldview Lab at Duke University.

Tyler VanderWeele
Tyler J. VanderWeele, Ph.D., is Professor of Epidemiology at the Harvard T.H. Chan School of Public Health, faculty affiliate of the Harvard Institute for Quantitative Social Science, and Director of the Program on Integrative Knowledge and Human Flourishing.