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hbiostat.org | ||
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www.rdatagen.net
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| | | | | I was thinking a lot about proportional-odds cumulative logit models last fall while designing a study to evaluate an intervention's effect on meat consumption. After a fairly extensive pilot study, we had determined that participants can have quite a difficult time recalling precise quantities of meat consumption, so we were forced to move to a categorical response. (This was somewhat unfortunate, because we would not have continuous or even count outcomes, and as a result, might not be able to pick up small changes in behavior.) We opted for a question that was based on 30-day meat consumption: none, 1-3 times per month, 1 time per week, etc. - six groups in total. The question was how best to evaluate effectiveness of the intervention? | |
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www.karsdorp.io
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| | | | | I'm a researcher in Computational Humanities and Cultural Evolution at Amsterdam's [Meertens Institute](https://meertens.knaw.nl/index.php/en/), affiliated with the Royal Netherlands Academy of Arts and Sciences. I study aspects of cultural change and experiment with methods to quantify cultural diversity. A significant aspect of my recent work is understanding and accounting for biases in these quantifications. I like to use computational models from fields such as Machine Learning, Cultural Evolution, and Ecology to aid these investigations. Beyond research, I have a passion for teaching computer programming, especially within the Humanities context. Together with [Mike Kestemont](http://mikekestemont.github.io/) and [Allen Riddell](https://www.ariddell.or... | |
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www.nicholas-ollberding.com
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| | | | | This is post is to introduce members of the Cincinnati Children's Hospital Medical Center R Users Group (CCHMC-RUG) to some of the functionality provided by Frank Harrell's Hmisc and rms packages for data description and predictive modeling. | |
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svmiller.com
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| | | I believe that the ability to read a regression table is an important task for undergraduate students in political science. I offer an explanation of the regression table in this post. | ||
