Our foray into causal analysis is not yet complete. Until we define the methods of causal inference, we can't get to the deeper insights that causal analysis can provide. This article details many of ...

Recent researches in econometrics and statistics have gained considerable insights into the use of instrumental variables (IVs) for causal inference. A basic idea is that IVs serve as an experimental ...

This comprehensive course bridges the gap between foundational statistical reasoning and practical applications related to business and engineering decision-making. Throughout the course, we’ll ...

Dorie and co-authors (DHSSC) are to be congratulated for initiating the ACIC Data Challenge. Their project engaged the community and accelerated research by providing a level playing field for ...

Statistics is a branch of math that involves the collection, description, analysis, and inference of conclusions from ...

Thesis: On the problem of sequential discrimination. RESEARCH INTERESTS: general methodology, classification, categorical data, zero-inflated distributions, statistical consulting. COURSES TAUGHT: ...