Onsdag gik samtlige danske medier i ‘breaking mode’ på baggrund af en ny rapport fra Statens Serum Institut. Rapporten bærer titlen ‘Ekspertrapport af den 6. maj 2020: Matematisk modellering af COVID-19 smittespredning og sygehusbelastning ved scenarier for anden fase af genåbningen af Danmark’ og kan findes her. Jeg har ingen nævneværdige holdninger til selve indholdet […]
Category: statistics
10 method books you should read before you die
In this post you will find my 10 recommendations for method books you should read (or at least buy to impress your so-called friends). I have tried my best to put some order into the list so you can begin from the beginning. However, you should be able to read the books in any order […]
Social science research during COVID-19
What a time to be alive. The coronavirus pandemic is a global problem and social scientists use this unique opportunity to write novel papers with the novel COVID-19 as the case (or the context of the study). There is not a single day without a new study saying something about either social distancing or the […]
Potpourri: Statistics #64
657. Tidymodels: tidy machine learning in R 658. The Seven Key Things You Need To Know About dplyr 1.0.0 659. Introduction to Data Science 660. When Is Anonymous Not Really Anonymous? 661. Empirical Papers for Teaching Causal Inference 662. Why log ratios are useful for tracking COVID-19 663. Effect Sizes and Power for Interactions in […]
Simpsons paradoks
Simpsons paradoks kan forstås som et fænomen, hvor der er en korrelation mellem to variable i en bestemt retning, evt. en positiv korrelation, men som er produktet af korrelationer i en modsat retning inden for bestemte grupper. Figur 1 nedenfor viser dette illustreret med karakterer fra The Simpsons. Bemærk dog, at Simpsons paradoks er opkaldt […]