Monthly Archives: January 2017

PMean: Looking inside the brains of scientists

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I found an interesting research study that shows what happens inside the brains of  scientists as they view statistical graphs of the type commonly used in peer-reviewed research. I don’t have the citation in front of me, but it was published in a very prominent research journal. Here’s a brief summary of the research. Continue reading

PMean: How to run your first Bayesian analysis using jags software in R

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Someone wanted to know how to run a Bayesian data analysis for a two group longitudinal study. There are several ways you can do this, but I had to confess I did not have an immediate answer. So I took some time to figure out how to do this using jags software inside of R. I’ve done a fair amount of stuff in jags, but not anything close to a longitudinal design. The general principle is to start with something easy and work your way slowly up to the final analysis. Continue reading

Recommended: Guidelines for Assessment and Instruction in Statistics Education College Report 2016

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As a community, we statisticians have known for a long time that we do not teach that introductory level class in Statistics as well as we should. This guideline list the things and ways we SHOULD teach as well as things that we might think about leaving out. Continue reading

Recommended: Statistical Issues Seen in Non-Statistics Proposals

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If you are writing a research grant, there are a lot of statistical issues that you need to consider. This guide, prepared by the American Statistical Association, highlights three areas: framing the problem, designing the study, and specifying the data analysis plan. It doesn’t talk enough about data management, but otherwise it is an excellent resource. Continue reading