https://phys.org/news/2018-07-rape-nairobi-ground-breaking-group-stanford.html

Figuring that out requires more than taking a few stats courses. It requires pushing the boundaries of statistical modeling, itself. "And then I did one smart thing," says Efron. "I involved Mike Baiocchi in the project."

Baiocchi's passion for causal inference had led him to occupy positions in both the statistics department and at the Stanford Research Prevention Center in the university's medical school; he quickly became absorbed by the technicality of the challenge and the impact of finding a solution. "If we can measure difficult concepts like empowerment and gender norms," he says, "then we can use statistical analyses to map out the causal pathways to assess what is essential, and what is not, in these interventions."