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Achievements

Achievement: Pair Extraordinairex2Achievement: Pull Sharkx2Achievement: YOLO

Achievements

Achievement: Pair Extraordinairex2Achievement: Pull Sharkx2Achievement: YOLO
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StefanThoma/README.md

Hi there, I'm Stefan!

Welcome to my Github page. I'm a data scientist with a passion for open science and woodworking. Here you'll find a selection of projects I've worked on, ranging from my masters thesis and research projects to toy data analysis problems from application procedures

Current work & interests

  • Data Scientist at Roche, where I'm working on the open source tools admiral and teal for clinical trial analyses.
  • Woodworking & Coffee, my hobbies outside of work that keep me grounded and creative.

Research

  • Impact of VR on environmental attitudes, investigating how immersive experiences can promote pro-environmental behaviors and attitudes.
  • Measure of relevance in many-lab studies, developing a novel statistical approach to quantify the impact of studies conducted across multiple labs.

Education

  • MSc in Statistics, where I learned advanced statistical methods and how to apply them to real-world problems.
  • MSc in Psychology, where I explored the fascinating world of human behavior and cognition.

Feel free to reach out to me at [email protected] if you have any questions or just want to say hi!

Pinned Loading

  1. pharmaverse/admiral pharmaverse/admiral Public

    ADaM in R Asset Library

    R 215 60

  2. ReplicationRelevance ReplicationRelevance Public

    Package for master thesis project STATS

    R

  3. VR_Environmental_Awareness VR_Environmental_Awareness Public

    Data analysis of the "melting glacier" project.

    TeX 2

  4. Example of critical p-values for thr... Example of critical p-values for three basic multiple testing adjustments.
    1 
    library(tidyverse, jmv, ggplot2)
    2 
    library(ggthemes)
    3 
    data <- read_csv(file = "https://raw.githubusercontent.com/methodenlehre/data/master/alkohol-aggression.csv") %>%
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        mutate(alkoholbedingung = factor(alkoholbedingung,
    5 
                                         levels = c("kein_alkohol", "placebo", "anti_placebo", "alkohol")))
  5. Mixed Effects model visualisation Mixed Effects model visualisation
    1 
    ######## Miminal working example
    2 
    

    

    
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    # Bin nicht sicher, ob Du alle packages hier brauchst.
    

    

    
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    pacman::p_load(tidyverse, nlme, ggplot2, ggthemes)
    

    

    

    

    

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causality-course-ethz
causality-course-ethz Public

    

    

    
Forked from christinaheinze/causality-course-ethz

    

    
Code used in the causality course (401-4632-15) at ETH Zurich.

    

    


Jupyter Notebook


    

    

    

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