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| | svmiller.com
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| | This is a basic tutorial for estimating the Poisson model, what it does, and how you should interpret what it tells you.
| | www.rdatagen.net
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| | Simulation can be super helpful for estimating power or sample size requirements when the study design is complex. This approach has some advantages over an analytic one (i.e.one based on a formula), particularly the flexibility it affords in setting up the specific assumptions in the planned study, such as time trends, patterns of missingness, or effects of different levels of clustering. A downside is certainly the complexity of writing the code as well as the computation time, which can be a bit painful. My goal here is to show that at least writing the code need not be overwhelming.
| | aosmith.rbind.io
9.6 parsecs away

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| | I walk through an example of simulating data from a binomial generalized linear mixed model with a logit link and then exploring estimates of over/underdispersion.
| | muijonathan.com
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| Preface After a long time, I have decided to resurrect the mathematics part of this blog! I started Diversions in Mathematicsas a way for me to try to explain mathematics to the general public. This continues to be the main goal of this series of blogposts -- for a more detailed introduction, please read the...