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Author Archives: pmean
Recommended: Bayesian meta-analysis of two proportions in random control trials
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Recommended: Section 508 CoP: PDF Accessibility – Part One
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Recommended: Microsoft is creating an oracle for catching biased AI algorithms
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PMean: What goes into a contract for a consultation
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Someone asked me about what sort of contract to use with a new client. This person did not need a very detailed contract, but said that a handshake would not suffice. Here’s what I suggested. Continue reading
PMean: Big data groups at UMKC and UM/Columbia
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I was at a meeting where I learned about some recent efforts with big data at the University of Missouri-Kansas City and the University of Missouri/Columbia. Here’s a brief description along with links. Continue reading
Recommended: Analysis of Pretest-Postest Designs
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A very nice resource that talks about difference scores, relative change models, analysis of covariance, and repeated measures models. Continue reading
Recommended: Applied Survival Analysis
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Although the title says “Applied”, this book has a fair amount of mathematics in it, which helps you understand why certain approaches work well. The sample outputs for this book are reproduced in several different software programs at the UCLA Institute for Digital Research and Education. Continue reading
Recommended: Interval regression | R data analysis examples
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This page shows R code to handle the tricky data sets where the response is known to be inside some interval. Continue reading
Recommended: Interval censored data analysis
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Michael Fay gave a short course on interval censored data at the 2010 useR! meeting. The slides from this short course provide a nice overview of the complexities of this type of data. Continue reading