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mixed-models-snippets's Introduction

Hello there!

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I'm a senior researcher working in the Institute of Medical Sociology (IMS) at the University Medical Center Hamburg-Eppendorf (UKE). I chair the working group on health and health care among the aged.

My research interests are

  • Health and health care among the aged
  • Family carers of older people
  • Organizational behaviour and health care research
  • Social inequalities in health care

Scientific and social media profiles

               

You can find further information on my website:

👉👉 www.danielluedecke.de 👈👈

including a list of publications.

Statistical skills

I'm co-chairing the working group "Research Methods" of the German Society of Medical Sociology (AG Methoden / DGMS) and do a lot R programming. Currently, I'm mostly involved in projects related to R statistics (through the easystats project or my other packages like ggeffects). However, my previous main activity in developing research software was the Zettelkasten, in Java.

Here are the main R-package projects I'm working on:

Data wrangling and preparation

  • datawizard 🧙 Magic potions to clean and transform your data

Statistics and regression modelling

  • parameters: 📊 Computation and processing of models' parameters
  • performance: 💪 Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
  • bayestestR: 👻 Utilities for analyzing Bayesian models and posterior distributions
  • effectsize: 🐉 Compute and work with indices of effect size and standardized parameters
  • correlation: 🔗 Methods for Correlation Analysis
  • modelbased: 📈 Estimate effects, contrasts and means based on statistical models
  • report: 📜 🎉 Automated reporting of objects in R
  • insight: 🔮 Easy access to model information for various model objects
  • sjstats: Effect size measures and significance tests

Data Visualization

  • ggeffects: Estimated marginal means, contrasts and pairwise comparisons and effects plots for regression models
  • see: 🎨 Visualisation toolbox for beautiful and publication-ready figures
  • sjPlot: Plots and tables for summary statistics, descriptive statistics and regression models

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mixed-models-snippets's Issues

clarification regarding likelihood-ratio test in Fixed and Random Effects Models snippet

@strengejacke: thank you so much for your awesome examples and packages.

I wanted to bring to your attention a potential question regarding your example here, namely in the section Check if a REWB- or simple RE-model suitable with the following ANOVA comparing fixed effects using REML with glmmTMB: anova(model_re, model_mundlak)

Rather than repeat all the details, perhaps you could take a look at the discussion I've posted here regarding the glmmTMB documentation: glmmTMB/glmmTMB#686. The short version is that LRTs conducted with glmmTMB, unlike lme4::lmer, do not refit models with ML prior to producing the LRT output, which may be an issue with regard to the LRT.

I'm curious about your thoughts/interpretation.

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