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 rpsychologist.com
Estimating treatment effects and ICCs from (G)LMMs on the observed scale using Bayes, Part 1: lognormal models | R Psychologist
| | aosmith.rbind.io
Simulate! Simulate! - Part 4: A binomial generalized linear mixed model
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| | I walk through an example of simulating data from a binomial generalized linear mixed model with a logit link and then exploring estimates of over/underdispersion.
| | hbiostat.org
Incorrect Covariate Adjustment May Be More Correct than Adjusted Marginal Estimates - Statistical Thinking
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| | This article provides a demonstration that the perceived non-robustness of nonlinear models for covariate adjustment in randomized trials may be less of an issue than the non-transportability of marginal so-called robust estimators.
| | www.civilytics.com
Mixed Effects Tutorial 2: Fun with merMod Objects - Civilytics
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| | Update: Since this post was released I have co-authored an R package to make some of the items in this post easier to do. This package is called merTools and is available on CRAN and on GitHub. To read more about it, read my new post hereand check out the packageon GitHub. Introduction First of [...]
| | emiruz.com
Fitting models from noisy heuristic labels - Emir's blog
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