Statistical Horizons offers a rotating schedule of over 50 different seminars. If you are interested in any of the seminars below and would like additional information, please email  All of these seminars can be brought on site.  

past and present Seminars include:

Analysis of Complex Survey Data

Analysis of Cost Data

Applied Bayesian Data Analysis

Building Web Apps with R Shiny

Categorical Structural Equation Modeling

Causal Mediation Analysis

Data Visualization

Data Wrangling with R

Designing Effective Online Surveys

Difference in Differences

Directed Acyclic Graphs for Causal Inference

Experimental Methods

GitHub for Data Analysis

Instrumental Variables

Intensive Longitudinal Methods

Interactions in Linear Regression Analysis

Introduction to Mediation, Moderation, and
Conditional Process Analysis

Introduction to Python for Data Analysis

Introduction to Social Network Analysis

Introduction to Structural Equation Modeling

Item Response Theory

Latent Class Analysis

Latent Growth Curve Modeling

Linear Regression

Logistic Regression

Longitudinal Data Analysis Using R

Longitudinal Data Analysis Using SAS

Longitudinal Data Analysis Using Stata

Longitudinal Data Analysis Using SEM

Machine Learning

Marginal Structural Models




Matching and Weighting for Causal Inference with R

Mediation, Moderation, and Conditional
Process Analysis

Mediation, Moderation, and Conditional Process Analysis: A Second Course


Missing Data

Moderated Mediation Analysis

Multilevel and Mixed Models

Multilevel and Mixed Models Using R

Multilevel Modeling

Multilevel Modeling of Categorical Outcomes

Multilevel Modeling: A Second Course

Multilevel Structural Equation Modeling

Power Analysis and Sample Size Planning

Propensity Score Analysis

Qualitative Data Analysis using ATLAS.ti

Regression Discontinuity Designs

Scale Construction and Development

Social Networks: Statistical Approaches

Statistical Computing with Python

Statistics with R

Statistics with Stata

Structural Equation Modeling: A Second Course

Structural Equation Modeling: Part 1

Structural Equation Modeling: Part 2

Structural Equation Modeling: Special Topics

Survival Analysis

Text as Data

Time Series Analysis

Treatment Effects Analysis

Workflow of Data Analysis