Latest updates for Multilevel Modeling

Fresh curated links around Multilevel Modeling are collected here so marketers can spot useful updates and turn timely ideas into posts faster.

Recent items include:

  • Survey Statistics: ANOVA follow-up
  • “Why did ANOVA fall out of fashion?”
  • mlreserve: machine-learning loss reserving on ‘real-world’ triangles (based on a ‘ChainLadder’ fork)

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statmodeling.stat.columbia.edu /3 weeks ago

Survey Statistics: ANOVA follow-up

Rodney Sparapani commented on the ANOVA post about struggles with multilevel models, saying ANOVA is more straightforward. I also struggle with multilevel models, but I don’t find...

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statmodeling.stat.columbia.edu /1 month ago

“Why did ANOVA fall out of fashion?”

A student asks the above question. My response: Anova is still important; it’s just been subsumed by hierarchical models. The link is to my 2005 paper, Analysis of variance: Why it...

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r-bloggers.com /2 weeks ago

mlreserve: machine-learning loss reserving on ‘real-world’ triangles (based on a ‘ChainLadder’ fork)

This post presents a function `mlReserve()` for machine-learning loss reserving on 'real-world' triangles, based on a fork of the 'ChainLadder' package. It includes two experiments...

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statmodeling.stat.columbia.edu /1 month ago

Survey Statistics: ANOVA

Andrew recently answered “Why did ANOVA fall out of fashion?”: Anova is still important; it’s just been subsumed by hierarchical models. The link is to my 2005 paper, Analysis of v...

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r-bloggers.com /1 month ago

Repeated measures ANOVA in R

Introduction Data Aim and hypotheses Assumptions Variable type and design Independence between subjects Normality Sphericity Outliers Repeated measures ANOVA in R With the {rstatix...

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dev.to /1 month ago

Your LLM Telemetry Table Does Not Have One Denominator

Originally published on hexisteme notes. I had an LLM telemetry report with the usual reassuring furniture: medians, interquartile ranges, sample sizes, and bootstrap intervals. T...

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statmodeling.stat.columbia.edu /1 month ago

Survey Statistics: more on SynthMargins and Bayes-Raking

Last week we discussed SynthMargins, a method from the poster Modeling Complex Contingency Tables that uses partial information (margins) about poststratification variables. On the...

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statmodeling.stat.columbia.edu /1 month ago

Survey Statistics: logit shift and raking

We’ve been discussing how to use population margin information about poststratification variables (see Modeling Complex Contingency Tables and SynthMargins & Bayes-Raking). I w...

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statmodeling.stat.columbia.edu /2 weeks ago

Using the computer to p-hack . . . I’d rather use it to fit multilevel models.

Brian Stone writes: Cognitive psychologist and long time reader of the blog here. I thought you and your audience might appreciate this recent post from Andy Hall: AI is about to w...

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Sources covering Multilevel Modeling

dev.to

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statmodeling.stat.columbia.edu

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r-bloggers.com

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