Category Archives: Statistics

Recommended: To combat physician burnout and improve care, fix the electronic health record

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This article is a nice counterbalance to all the glowing reports about how moving to the electronic health record is going to revolutionize health care. This effort certainly has value, but it comes at a cost. The article talks about the improvements needed to the crude 1990s interface and how to avoid overburdening the medical record with extraneous data. Continue reading

PMean: Starting a heron-i2b2-analytics repository

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I am working on a CTSA grant to develop repeatable downstream pipelines that directly access i2b2 and CDM. In order to promote this work and encourage others to participate, I was given a repository site on github, kumc-bmi/heron-i2b2-analytics. Right now, it is just a shell, but here’s what I want to do with it, short term and long term. Continue reading

PMean: And the least important variable is…

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I heard a story a long time ago, and I don’t remember who told it to me and I’m probably getting all the details wrong, but I wanted to try to recreate the story from memory because it illustrates one of the perils of blind reliance on statistical models to identify “important” variables. Continue reading

PMean: Recommended format for homework assignments

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I’m teaching a couple of classes, Introduction to R and Introduction to SAS, and I’m finding that students will turn in homework a variety of different ways. I’m fine with this up to a point, but I think that I should encourage a simple uniform approach, because out in the real world, your boss or your clients will not appreciate a haphazard and disorganized approach. Here’s a suggested format for homework assignments that will (hopefully) get you in the practice of turning into things in an organized fashion. Continue reading

PMean: Next stop, BMC Medical Informatics and Decision Making

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I’m working part-time on a research grant and I want to publish some of the work I’ve done on this grant. The title of the paper tentatively is “Validating elastic net generated electronic health record breast cancer phenotypes against hospital tumor registries: a case control study.” My co-authors are Dan Connolly and Russ Waitman. I want to summarize the history of the effort so far and why I am considering the BMC Medical Informatics and Decision Making as the next place to submit the article. Continue reading