
Vincent Arel-Bundock
@VincentAB
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Prof in Montréal. Most tweets about R: marginaleffects, modelsummary, tinytable, countrycode, altdoc. @[email protected] https://t.co/uKmQqTufUL
Montréal
Joined April 2012
My First R Package: Dec.5-6 . I'm super excited to announce that I'll soon be teaching a short course on how to develop #RStats packages!. A 📦can make your code more efficient, reproducible, and helpful to others. Please let me know if you have any questions.
Interested in creating your own #Rstats package? Learn how to organize code efficiently, manage dependencies, implement best practices in testing and documentation, and distribute your package with My First R Package taught by @VincentAB on Dec. 5-6!.
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RT @StatHorizons: Struggling with complex statistical results? Watch the first hour of @VincentAB’s "Interpreting and Communicating Statist….
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RT @jon_mellon: If it feels like survey experiments are taking over top journals, you're not wrong!.
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RT @ryancbriggs: In the most recent year, about 1/5 articles in AJPS and JOP had a survey experiment. (preliminary result from work in prog….
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@carlislerainey here's a new submission to your ever expanding collection: "interweb links about power".
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Our job in Political-Economy is still open! (Must speak French). Montréal est une ville fantastique. Svp, envoyez-nous votre CV!.
🚨 JOBS! 🚨 U de Montréal is recruiting 2 Profs in Political Economy and International Relations. Collègues ultra-sympathiques, excellents étudiants, et ville extraordinaire! . If you speak French and think we might be a good fit for you, please apply or get in touch. 🔗 ⬇️
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Jeudi de 12h à 13h30 (EST), j'offre un atelier en ligne gratuit sur l'interprétation des modèles statistiques avec la librarie `marginaleffects` pour R. Joignez-vous à nous!.
Midi-webinaire Précrisa : Découvrez comment la librairie 𝗺𝗮𝗿𝗴𝗶𝗻𝗮𝗹𝗲𝗳𝗳𝗲𝗰𝘁𝘀 peut soutenir la gestion de crise, en aidant à l'interprétation de modèles complexes. Inscription : #CrisisPreparedness #PublicHealth #R #Python
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RT @jon_mellon: New paper w/ @caprosser at @apsrjournal. A recent paper claim rising mass polarization in US is actually declining survey c….
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Hey! Ryan and I did a podcast where we talk about our paper:. Quantitative Research in Political Science is Greatly Underpowered. Tell us what you disagree with!. Thanks to Juan and Abel for the fun conversation, and to the I4R for their amazing work!.
osf.io
We analyze the statistical power of political science research by collating over 16,000 hypothesis tests from about 2,000 articles. Even with generous assumptions, the median analysis has about 10%...
New podcast episode out! 🎙️ @ryancbriggs & @VincentAB dive into their latest paper on the importance of statistical power in political science. They break down what it means for research reliability & why it matters for the field. Don’t miss it!.
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RT @phdskat: 🚨 New paper out!. Excited to share this, where I take a 'weaponized interdependence' view at explaining historical failure and….
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RT @JStuckatz: 🚨Job Alert🚨: @BCEgerod and I are looking for a 2-year postdoc to work with us on a project on the Corporate Revolving Door a….
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📚🚨 I posted 11 new chapters of my upcoming book!. Model to Meaning: How to Interpret Statistical Results with #marginaleffects for #RStats and Python. These are early drafts and I really need your feedback! Errors, content requests, improvements, etc.
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RT @charlesm993: Dear colleagues, I'm in the last year of my postdoc at @FlatironInst and I'm looking for research and faculty positions in….
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RT @isaStallworthy: Interested in causal questions but working with observational data? Check out our new preprint, an accessible tutorial….
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Causal inference and questions about timing are central to developmental science. Yet scientists are often limited to observational data, and conceptual, methodological, and computational barriers...
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