Epidemiology

The Book of Why: The new science of cause and effect

Causal reasoning is at the core of everything we see, do, and imagine. Causal inference is the foundation of scientific thinking and reasoning. Every explicit decision we make is the realization of causal thinking. You will be surprised to learn that the rigorous study of causality as a science is relatively new in comparison to the disciplines of statistics and probability. The history of the Causal Revolution will surprise, inspire, entertain, and—at times—shock you!

epitools: R tools for public health epidemiologists

Several years ago I (TJA) developed the ‘epitools’ R package for epidemiologic data and graphics. My goal was to have a practical package for practicing epidemiologists at local and state health departments. It was designed to conduct contingency table analyses for outbreak investigations, to construct epidemic curves, to improve graphical color selection, to implement basic methods from Chapter 4 of Rothman’s Modern Epidemiology, and more. Recently, ‘epitools’ maintenance was taken over by Adam Omidpanah from the Washington State University.