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Johns Hopkins University

1. •Essentials of Probability and Statistical Inference I: Probability. Fall 2012, 2011, 2010 [LINK]
   

2. •Essentials of Probability and Statistical Inference II: Statistical Inference.  Fall 2012, 2011. [LINK]
   

3. •Adaptive Designs in Clinical Trials: Spring 2010, Spring 2009 [LINK]
   

4. •Experimental and Non-experimental Designs for Estimating Causal Effects (140.665.01)-co-taught with Constantine Frangakis.  Course created and implemented by Constantine. Spring 2010, Spring 2009 [LINK]
   

UC Berkeley

1. •Statistics 131A: Statistical Inferences for Social and Life Scientists. Fall 2007 [LINK]
   

2. •Statistics 20: Introduction to Probability and Statistics. Spring 2007.
   

Introductory Material on Some Causal Inference Topics

1. •The Assumptions a Causal DAG (directed acyclic graph) Encodes [PPT]
   

   *Note: Contains animation, best viewed in slideshow mode

1. •Overview of Targeted Maximum Likelihood for Estimating the Causal Effect of a Single Time Point Treatment and of a Two Time Point Treatment [PDF]