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josiahparry.com
| | sfdep.josiahparry.com
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| | www.seascapemodels.org
2.9 parsecs away

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| | [AI summary] A tutorial explaining the basics of General Linear Models using statistical concepts like linear equations, R programming simulations, and assumption checking for biological sciences.
| | www.robertkubinec.com
3.1 parsecs away

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| | Ordered beta regression can give you comparable, scale-free ATEs that can still be understood in the scale of the original data-all without using logs.
| | www.rdatagen.net
23.4 parsecs away

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| In my previous post, I described a continuous data generating process that can be used to generate discrete, categorical outcomes. In that post, I focused largely on binary outcomes and simple logistic regression just because things are always easier to follow when there are fewer moving parts. Here, I am going to focus on a situation where we have multiple outcomes, but with a slight twist - these groups of interest can be interpreted in an ordered way.