September 7th, 12 PM   Dr. Craig Enders, UCLA

Missing Data in Blimp

September 21st, 12 PM   Yiwen Zhang, University of Pittsburgh

BRMS Package in R for Bayesian Regression Analysis

October 5th, 12 PM   Abhishek Dedhe, Carnegie Mellon University 

Analyzing Mental Algorithms Using Bayesian Mixture Models

October 19th, 12 PM   Darci Smtih, University of Pittsburgh

Topic TBD

November 2nd, 12 PM   Dr. Julia Rohrer, Leipzig University

Causal Inference or: How to Get the Elephant in the Room through the Eye of a Needle

November 16th, 12 PM   Dr. Colin Vize, University of Pittsburgh

Bayesian SEM

November 30th, 12 PM   Dr. Phoebe Lam, Carnegie Mellon University

Meta-analytical and Integrative Data Analytical Approaches to Examining Lifecourse Inquiries

We've had the privilege to hear a wide range of topics from quantitative leaders in both academia and industry, including:

Donald Hedeker, PhD: Mixed Effects Location Scale Models
Sara Baumann, PhD, MPH: Mixed Methods
Garrett Hisler, PhD: Quant Skills in Industry
Gregory Hancock, PhD, & Patrick Curran, PhD: Statistics Q&A
Ellen Hamaker, PhD: Cross-Lagged Panel Models
Philipp Masur, PhD: Specification Curve Analysis
Caitlin Tenison, PhD: Educational Testing Services (ETS)
Cédric Scherer, PhD: Data Visualization
Rony Patel, PhD: Google