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Mashup Score: 413Common statistical tests are linear models (or: how to teach stats) - 1 month(s) ago
This document is summarised in the table below. It shows the linear models underlying common parametric and “non-parametric” tests. Formulating all the tests in the same language highlights the many similarities between them. Get it as an image or as a PDF. Most of the common statistical models (t-test, correlation, ANOVA; chi-square, etc.) are special cases of linear models or a very close approximation. This beautiful simplicity means that there is less to learn. In particular, it all comes down to (y
Source: lindeloev.github.ioCategories: General Medicine News, Infectious DiseaseTweet
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Mashup Score: 14
By Jonas Kristoffer Lindeløv (blog, profile). Last updated: 28 June, 2019 (See changelog). Check out the Python version and the Twitter summary. This document is summarised in the table below. It shows the linear models underlying common parametric and “non-parametric” tests. Formulating all the tests in the same language highlights the many similarities between them. Get it as an…
Source: lindeloev.github.ioCategories: Hem/Oncs, Latest HeadlinesTweet-
RT @GuyProchilo: Most common statistical models are linear models: https://t.co/WnE0JxrOAb #phdchat https://t.co/t1BlIrhIHP
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Mashup Score: 1
By Jonas Kristoffer Lindeløv (blog, profile). Last updated: 28 June, 2019 (See changelog). Check out the Python version and the Twitter summary. This document is summarised in the table below. It shows the linear models underlying common parametric and “non-parametric” tests. Formulating all the tests in the same language highlights the many similarities between them. Get it as an…
Source: lindeloev.github.ioCategories: Future of Medicine, Latest HeadlinesTweet-
Would any of my interactive visualization guru friends be interested in making a @ch402 -style interactive demo explainer of GLMs/stat tests in the spirit of this wonderful blog post? https://t.co/2tXMiQFq6L Would be so awesome.
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Mashup Score: 2
By Jonas Kristoffer Lindeløv (blog, profile). Last updated: 28 June, 2019 (See changelog). Check out the Python version and the Twitter summary. This document is summarised in the table below. It shows the linear models underlying common parametric and “non-parametric” tests. Formulating all the tests in the same language highlights the many similarities between them. Get it as an…
Source: lindeloev.github.ioCategories: Latest Headlines, PediatricsTweet-
RT @msiuba: Or, more constructively: https://t.co/Ijsj2Panb7
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Students sometimes ask 'should I do a regression or calculate a correlation?' This is a useful explanation about why it's the same thing: https://t.co/n0YUGtJnqM (originally via @seabbs)