15apr12:00 pm1:00 pmMini stat camp: The Algebra of CausalityMini statistics camp12:00 pm - 1:00 pm BTM 2006B Lecturer: Joseph Locascio, PhD Event Category:Invited talk,Statistics and machine learning
As the opening talk of the Mini Statistics Camp this year, Dr. Joseph J. Locascio from Harvard Medical School and affiliated BWH and MGH will give a talk entitled "The Algebra of Causality". Below
As the opening talk of the Mini Statistics Camp this year, Dr. Joseph J. Locascio from Harvard Medical School and affiliated BWH and MGH will give a talk entitled “The Algebra of Causality”. Below is the abstract and corresponding references Dr. Locascio sent for his talk.
I would like to discuss basic data analysis methods for causal modeling. Given my background originating in applied statistics for the behavioral sciences, where causal modeling of one form or another has been used for decades and given its more recent introduction to bio-medical statistics, I would like to introduce some basic aspects of it that may be unfamiliar to bio-medical researchers and even many biostatisticians. As a backdrop, I will refer to a recent book which has created quite a bit of interest on this subject, “The Book of Why” (2018) by Judea Pearl, who claims that a “Revolution in Causality” is taking place in data analysis and science. (Reading the book is not a prerequisite for my talk). I want to emphasize that the purpose of my presentation is not to explain how to conduct any specific data analysis technique like structural equation modeling (SEM), path analysis, or confirmatory factor analysis (using e.g., the SAS Calis Procedure), though I will touch on that. Rather I will try to show people how causal models, especially as explicated with causal diagrams, can be seen as underlying research questions tested by many varied statistical techniques and to hopefully provide a helpful way of making certain decisions about appropriate data analyses given the research questions and available data. Thus, I want to emphasize causal modeling as a methodology rather than a specific method.
Pearl, J., The Book of Why, co-authored with Dana Mackenzie, Basic Books, NY, NY, 2018.
Pearl, J. Mind over Data. (Excerpt from: “The Book of Why: The New Science of Cause and Effect” co-authored with Dana Mackenzie, 2018), Significance Magazine, August, 2018, Vol 15, Issue 4, pgs. 6-7.
Pearl, J. Turing award winner, longtime ASA member publishes ‘The Book of Why’. (Interview with ASA Executive Director, Ron Wasserstein). AMSTAT News, August, 2018, Issue 494, pgs. 12-14.
Here is a link to the above article:
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