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Building likelihood and support functions from the same estimate in R, Stata, Python, Julia, MATLAB, and SQL, and checking they agree.
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Drag an estimate and its interval and watch the entire P-value function, every compatibility interval, and the S-value move together.
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Good collaboration with statisticians and data engineers is a set of concrete habits, not goodwill.
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A single MMA fight is not a probability.
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A look at the recent JAMA study that found an association between dietary cholesterol and cardiovascular disease incidence along with a look at the current state of research on this question.
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A look at fish oil’s controversial evidence base and how a recently completed
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A relatively simple way to conclude a cause and effect relationship in humans is with
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A post explaining what surrogate markers are, why we sometimes focus on
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The results of the long-awaited REDUCE-IT trial are finally out in The New
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Examples of using Stata, Julia, and pseudocode in blog posts
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This guide discusses the bootstrap resampling method and its close connection to the consonance distribution and how to use certain iterations of the bootstrap to construct a consonance distribution.
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Learn how to compute and visualize confidence interval functions (confidence curves, p-value functions) using the cifunction Stata package.
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A simple guide on how to produce consonance functions in Stata.
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A discussion about models and the assumptions that underlie them.
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A simulation of a two-group parallel-arm randomized trial with interim analysis using the rpact package.
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Sensitivity analyses are an important part of statistical analyses, however, there are major misconceptions about what they do and what qualifies as such an analysis.
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This post goes through the R code and logic that was used to construct the figures and concepts in Rafi & Greenland (2020) BMC MRM.
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Discussions on statistical science and the applications of statistical methods.
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Experienced statisticians and data analysts are familiar with stories where a coding error has led to an entire conclusion changing, even leading to a retraction.
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An early look at Gelman et als new book, Regression and Other Stories, which is an update to their seminal 2006 book, Data Analysis Using Regression and Multilevel Hierarchical Models.