Bartek Kroczek

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197 Following
34 Posts
PhD Student (Cognitive Neuroscience) at Jagiellonian University | Founder of Decision Making group @ JU | Co-owner at Forum Tańca
WWWhttps://bartekkroczek.github.io/
ResearchGatehttps://www.researchgate.net/profile/Bartlomiej-Kroczek
Githubhttps://github.com/bartekkroczek
Scholarhttps://scholar.google.co.uk/citations?user=qChlLc0AAAAJ
New blog post: Why Effect Sizes Selected for Significance are Inflated https://daniellakens.blogspot.com/2024/02/why-effect-sizes-selected-for.html I tried to explain this important topic as clearly as I can. I also explain why bias adjusted estimates are somewhat useful, but Type M errors are not, and how to prevent bias.
Why Effect Sizes Selected for Significance are Inflated

Estimates based on samples from the population will show variability. The larger the sample, the closer our estimates will be to the true po...

I've updated my Short History of Global Living Conditions.

here it is: ourworldindata.org/a-history-of-global-living-conditions

Have you ever wanted to control the mouse on your computer with a laser pointer pointed at a projector?

No? Well, tough luck, here's an #RStats script that does that anyway.

https://gist.github.com/eliocamp/0e14c7f9bb8155edf59e748897d5deaf

Move mouse with a laser pointer

Move mouse with a laser pointer. GitHub Gist: instantly share code, notes, and snippets.

Gist

If you haven't registered yet for the awesome Evidence Synthesis and Meta-Analysis in R (ESMAR) Conference, you still can!

This is an amazing conference: free (pay what you want) but with a great program featuring so many big names in evidence synthesis and meta-analysis! 🤩

Planned for (almost) all timezones: there are sessions from 4:00 UTC to 22:00 UTC, so always something cool to attend ⌚

For more info, check https://esmarconf.org/

ESMARConf

ESMARConf is a FREE, online annual conference series dedicated to evidence synthesis and meta-analysis in R. Our aim is to raise awareness of the utility of Open Source tools in R for conducting all aspects of evidence syntheses (systematic reviews/maps, meta-analysis, rapid reviews, scoping reviews, etc.), to build capacity for conducting rigorous evidence syntheses, to support the development of novel tools and frameworks for robust evience synthesis, and to support a community of practice working in evidence synthesis tool development. ESMARConf began in 2021 and is coordinated by the Evidence Synthesis Hackathon.

When reading the literature, a healthy (!) amount of skepticism is needed. We know researchers selectively report (and use other tricks, see Figure - even though we do not know when and exactly how often). This can make findings look better than they are. Always watch out for signs of selective reporting.
Ready for #ICPS2023 !
tidyverse 2.0.0 is out now! https://www.tidyverse.org/blog/2023/03/tidyverse-2-0-0/ — main change in this release is that lubridate is (finally!) part of the core tidyverse and is thus automatically loaded #rstats
tidyverse 2.0.0

Now including lubridate!

My book📚, “A Student’s Guide to Open Science: Using the Replication Crisis to Reform Psychology” is available to pre-order now! (https://tinyurl.com/59zk7m5y; https://tinyurl.com/2cukuy9v). A thread of why this book is important to both the field and me! 🧵
A Student's Guide to Open Science: Using the Replication Crisis to Reform Psychology: Amazon.co.uk: Pennington, Charlotte: 9780335251162: Books

Buy A Student's Guide to Open Science: Using the Replication Crisis to Reform Psychology by Pennington, Charlotte (ISBN: 9780335251162) from Amazon's Book Store. Everyday low prices and free delivery on eligible orders.

The Square Accepts All - Lecture 19 of Statistical Rethinking 2023. You get the Full McElreath in this one. Brace yourselves. Allometry, dimensional analysis, state-based models of social learning, population dynamics & differential equations. https://www.youtube.com/watch?v=zffwg0xDOgE&list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus&index=19
Statistical Rethinking 2023 - 19 - Generalized Linear Madness

YouTube
Bayesian Analysis of the Ordinal Markov Random Field http://osf.io/ukwrf/