strengejacke Goto Github PK

followers: 657.0 following: 2.0 repos: 26.0 gists: 12.0

Name: Daniel

Type: User

Company: Universitätsklinikum Hamburg-Eppendorf

Bio: Senior researcher; systems theory, qualitative and quantitative research

Twitter: strengejacke

Location: Hamburg, Germany

Blog: http://strengejacke.de

Hello there!

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

Data Visualization

ggeffects: Estimated marginal means 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

Daniel's Projects

brms-snippets

A collection of small code snippets, mostly for brms

causal_salad_2021

One day course on causal inference, MPI-EVA 9 September 2021

corona-19-shiny

Visualization of confirmed and recovered Corona cases, data from https://github.com/CSSEGISandData/COVID-19

cvms

R Package: Cross-validate one or multiple gaussian or binomial regression models at once. Perform repeated cross-validation. Returns results in a tibble for easy comparison, reporting and further analysis.

esc

Effect Size Computation for Meta Analysis

faux

R functions for simulating factorial datasets

forgettable

Consistent re-implementation of useful functions where you forgot how to use them

ggeffects

Estimated Marginal Means and Marginal Effects from Regression Models for ggplot2

glmmadaptive_presentations

Presentations for the GLMMadaptive package

glmmtmb

glmmTMB

iterake

Create weights with iterative raking.

marginaleffects

An R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds ratios, etc.) for over 70 classes of statistical models in R. Conduct linear and non-linear hypothesis tests, as well as equivalence tests using the delta method.