Quantifying and addressing the prevalence and bias of study designs in the environmental and social sciences
We reviewed the prevalence of different study designs in environmental and social sciences and introduced a novel model for with-study comparisons.
Causal inference: An introduction
Introduction to causal inference for social science PhD students.
The cycle of statistical research
More than fifty years ago, John Tukey first envisioned a field we now call "Data Science" (he called it "Data Analysis") to replace academic statistics. George Box, who famously said "all models are wrong", instead called "Data Analysts [to] get …
Comment: Will competition-winning methods for causal inference also succeed in practice?
This is an invited commentary for Statistical Science on the causal inference data competition in ACIC 2016.