Here is a question for you: Imagine you are asked to conduct an observational study to estimate the effect of wearing a helmet on the risk of death in motorcycle crashes. You have to choose one of two different data-sets for this study: Either a large, rather heterogeneous sample of crashes (these happened on different roads, at different speeds, etc.) or a smaller, more homogeneous sample of crashes (let's say they all occurred on the same road). Your goal is to unearth a trustworthy estimate of the treatment effect that is as close as possible to the `truth', i.e. Read more about The Role of Sample Size and Unobserved Heterogeneity in Causal Inference
The Applied Statistics Workshop resumes this week with a talk by Holger Lutz Kern, a Ph.D. candidate at Cornell University currently visiting at Harvard. His research focuses on comparative political economy and behavior with a focus on causal inference from observational data. His work has appeared in the Journal of Legislative Studies. Read more about Applied Statistics - Holger Lutz Kern
Dr. King, Esteemed Faculty, Members of the Advisory Board, My Fellow Stats Brats:
The rite of custom brings us together at a defining hour when decisions are hard and courage is needed. We enter the year 2007 with large endeavors under way and others that are ours to begin. In all of this, much is asked of us. We must have the will to face difficult challenges and determined reviewers, and the wisdom to face them together. Read more about Stats of the Union
I’ll be giving the talk at the Gov 3009 seminar in early February, and I’ll be presenting a paper I’m writing with Don Rubin on applying the potential outcomes framework of causation to what lawyers call “immutable characteristics” (race, gender, and national origin, for example). I’ll be previewing some of the idea from this paper on the blog. Read more about The Goal of Causal Inference
So it's finally getting cold in Boston after some days that resembled Spring more than anything. Outside the buildings, smokers in T-shirts and flip-flops? The first flowers blooming?? But it's not all lost: I was just reading that an early Spring or a short interval of warm temperatures doesn't really matter for plants and animals. Plants just grow new buds or skip a year. Animals adjust their sleep patterns. But maybe Mother Nature is also smart about predicting when it's the right time to wake up. Read more about Mother Nature Estimates Using...?
... it may extend your life by up to two years, according to a new paper by Matthew Rablen and Andrew Oswald from the University of Warwick, as reported in this week's Economist. They suggest that the increase in status associated with winning a Nobel Prize increases longevity compared to those who are nominated but never win. Read more about As if winning a Nobel Prize wasn't enough...
I saw an thought-provoking post at John Baez's diary the other day pointing out an interesting analogy between natural selection and Bayesian inference, and I can't decide if I should classify it as just "neat" or if it might also be "neat, and potentially deep" (which is where I'm leaning). Because it's a rather lengthy post, I'll just quote the relevant bits: Read more about Bayesian inference and natural selection
The Applied Statistics Workshop will resume for the spring semester on January 31, 2007. We will continue to meet in the CGIS Knafel Building, Room N354 on the third floor at noon on Wednesdays. The Workshop has a new website that has the tentative schedule posted for the semester. We will be moving the archives of papers from the previous semesters to the new site in the coming weeks, so you can track down your favorite talks from years past. Read more about Applied Statistics Workshop