|
You are here |
josiahparry.com | ||
| | | | |
sfdep.josiahparry.com
|
|
| | | | | ||
| | | | |
www.seascapemodels.org
|
|
| | | | | [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
|
|
| | | | | 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
|
|
| | | 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. | ||