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. 

Latent Growth Curve Modeling
Gregory Hancock, Instructor
June 1-2, Philadelphia

Treatment Effects Analysis
Stephen Vaisey, Instructor
June 1-2, Philadelphia

Machine Learning
Stephen Vardeman, Instructor
June 8-9, Philadelphia
SOLD OUT

Missing Data
Paul Allison, Instructor
June 8-9, Philadelphia

Longitudinal Data Analysis Using Structural Equation Modeling
Paul Allison, Instructor
June 22-23, Boston

Structural Equation Modeling
Paul Allison, Instructor
July 10-14, Chicago
Early registration deadline is 
June 12

Mediation, Moderation, and 
Conditional Process Analysis
Andrew Hayes, Instructor
July 10-14, Chicago
Early registration deadline is 
June 12

Multilevel Structural Equation
Modeling
Kristopher Preacher, Instructor
July 24-28, Philadelphia
Early registration deadline is
June 26

Missing Data Using Stata
Paul Allison, Instructor
August 15-16, Stockholm, Sweden

Longitudinal Data Analysis Using Structural Equation Modeling
Paul Allison, Instructor
August 17-18, Stockholm, Sweden

 

Causal Mediation Analysis
Tyler Vanderweele, Instructor
October 13-14, Boston
Early registration deadline is September 13

Item Response Theory
Tenko Raykov, Instructor
October 20-21, Philadelphia
Early registration deadline is September 20

Meta Analysis
David Wilson, Instructor
October 20-21, Philadelphia
Early registration deadline is September 20

Conditional Process Analysis
Andrew Hayes, Instructor
October 27-28, Philadelphia
Early registration deadline is September 27

Instrumental Variables
Felix Elwert, Instructor
October 27-28, Philadelphia
Early registration deadline is September 27

Applied Bayesian Data Analysis
Jeff Gill, Instructor
November 3-4, Philadelphia
Early registration deadline is October 3

Propensity Score Analysis
Shenyang Guo, Instructor
November 10-11, Chicago
Early registration deadline is October 10

Analyzing Ordinal, Nominal, and
Count Data
Donald Hedeker, Instructor
November 10-11, Chicago
Early registration deadline is October 10

Data Visualization
Kieran Healy, Instructor
December 1-2, Philadelphia
Early registration deadline is November 1

Multilevel and Mixed Models
Stephen Vaisey, Instructor
December 1-2, Philadelphia
Early registration deadline is November 1

Latent Class Analysis
Stephanie Lanza, Instructor
December 8-9, Philadelphia
Early registration deadline is November 8

 

 
   

 

 

 
FEATURED

INSTRUCTORS

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.

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

Stephen Vardeman
Stephen B. Vardeman is a University Professor of Statistics and Industrial Engineering and Liberal Arts and Sciences Kingland Data Analytics Faculty Fellow at Iowa State University.