PREV 794 CAUSAL INFERENCE
This course covers issues relating to causal inferences ? that is, the study of methods and models used to understand what causes what in our world. Different causal frameworks are explored and used to address problems relating
to study design, confounding, modeling, validity and inference. Readings are assigned each week, and students complete one midterm assignment and a final exam. The course is useful to all those designing and conducting clinical research. A background in foundational epidemiological methods and biostatistics is recommended.