Monthly Archives: April 2017

Recommended: Proving the null hypothesis in clinical trials

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I’m attending a great short course on non-inferiority trials and the speaker provided a key reference of historical interest. This reference is the one that got the Statistics community interested in the concept of non-inferiority. The full text is behind a paywall, but you can look at the abstract. A footnote is a paper, Dunnett and Gent 1977, (also trapped behind a paywall) addressed this problem earlier. Continue reading

Recommended: Blind analysis: Hide results to seek the truth

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This paper advocates something I would call a triple blind, keeping the doctor, the patient, and the statistician who analyzes the data in the dark as to which treatment group is which. This avoids problems where the people analyzing the data will either consciously or subconsciously manipulate the data to get a preferred result. Interesting idea, though it represents an awful amount of work to pull it off. Continue reading

Recommended: Launch a Shiny App on Your Own Server in 4 Steps

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It’s very easy, apparently, to set up your own server to run Shiny apps (Shiny is a web based method for interacting with R code). If you have set up Amazon Web Services, then it is even easier. Here is a detailed account of how to do this. Once I get my own Shiny server going, I will let you know. Continue reading

Recommended: Why be an independent consultant?

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I might as well recommend something that I wrote. This is a short article in the Amstat News, a monthly newsletter of the American Statistical Association. I talk about all the reasons you wouldn’t want to be an independent consultant and the one big reason why you would–being in control. Continue reading