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juliasilge.com
| | www.ericekholm.com
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| | Using feature engineering and linear regression to predict Mario Kart world records
| | calogica.com
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| | In this post we'll take another look at logistic regression, and in particular multi-level (or hierarchical) logistic regression in RStan brms.
| | sebastianraschka.com
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| | I'm Sebastian: a machine learning & AI researcher, programmer, and author. As Staff Research Engineer Lightning AI, I focus on the intersection of AI research, software development, and large language models (LLMs).
| | fharrell.com
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| Historical data (HD) are being used increasingly in Bayesian analyses when it is difficult to randomize enough patients to study effectiveness of a treatment. Such analyses summarize observational studies' posterior effectiveness distribution (for two-arm HD) or standard-of-care outcome distribution (for one-arm HD) then turn that into a prior distribution for an RCT. The prior distribution is then flattened somewhat to discount the HD. Since Bayesian modeling makes it easy to fit multiple models at once...