Guillaume Rousselet

Guillaume Rousselet

@robustgar

Followers3.5K
Following365

data parasite | queue jumper | statistics | visualisation | neuroscience | MEEG | #rstats #matlab #barbarplots EJN & BNA editor @CCNi_UofG

Glasgow, Scotland
Joined on September 05, 2013
Statistics

We looked inside some of the tweets by @robustgar and here's what we found interesting.

Inside 100 Tweets

Time between tweets:
6 days
Average replies
2
Average retweets
16
Average likes
46
Tweets with photos
37 / 100
Tweets with videos
0 / 100
Tweets with links
0 / 100

[NEW POST] Mean or median reaction time? An open review of Miller (2020) https://t.co/0FZPm2Y0ZE Miller (2020) https://t.co/be4tJC15yd is a reply to Rousselet & Wilcox (2020) https://t.co/Zzm6bKB2do which builds upon Miller (1988) https://t.co/iWfvi7fqjL

Rigor Mortis: How Sloppy Science Creates Worthless Cures, Crushes Hope, and Wastes Billions

https://t.co/b6uZXXNHtf https://t.co/NF1W443fv1

Rigor Mortis: How Sloppy Science Creates Worthless Cures, Crushes Hope, and Wastes Billions https://t.co/b6uZXXNHtf https://t.co/NF1W443fv1

using robust measures of association (thanks @CyrilRPernet, @robustgar, and Rand Wilcox), we found both positive and negative associations of synegy with age, in localized clusters https://t.co/2wCulxAKq4

using robust measures of association (thanks @CyrilRPernet, @robustgar, and Rand Wilcox), we found both positive and negative associations of synegy with age, in localized clusters https://t.co/2wCulxAKq4

Does anyone know of a good, accessible introduction to defining outliers and different approaches to dealing with them? (The "accessible" bit of that sentence is really important!)

Quoted @Social__AI

We're really excited about the range of amazing SOCIAL PhD projects for September 2020 entry. See https://t.co/XTWnGIgcgW for the full list, including a project on using e-skin to generate emotive features, and another on optimising interactions with virtual environments.

Our @UKRI_News Centre for Doctoral Training in Socially Intelligent Artificial Agents @Social__AI is now accepting PhD applications. We will fund up to 15 SOCIAL AI PHD projects at the intersection of @UofGPsychology and @GlasgowCS from September 2020. https://t.co/Ceyose5zgX

Should scientists who average across trials before modelling be reported for fraud?

https://t.co/XxlHxXOVdB https://t.co/kcFRAS6GM8

Should scientists who average across trials before modelling be reported for fraud? https://t.co/XxlHxXOVdB https://t.co/kcFRAS6GM8

brms and multi-level models are ๐Ÿ’ช! ๐Ÿš€ Another: https://t.co/Vw21TgMxf6 https://t.co/ScQd9REel2

Quoted @jonmummolo

Johnson and Cesario have stated their analysis is still informative because it controls for county crime rates by race and other shooting attributes. But as Bayesโ€™ rule shows, the addition of these control variables, X, does not solve the fundamental conceptual problem. 11/n https://t.co/6PclW6Y0Pb

Johnson and Cesario have stated their analysis is still informative because it controls for county crime rates by race and other shooting attributes. But as Bayesโ€™ rule shows, the addition of these control variables, X, does not solve the fundamental conceptual problem. 11/n https://t.co/6PclW6Y0Pb

Re study of police shootings, scroll up for full flavor. Another example of social science using โ€œcontrolโ€ like a magic verb that manufactures truth. If only there were an axiomatic framework for deciding causal queries... https://t.co/aUxYahuXJg

New blog post: Baby steps in Bayes: Accounting for measurement error on a control variable #rstats

https://t.co/thfy1twBY1 https://t.co/dDSDCzrC5L

New blog post: Baby steps in Bayes: Accounting for measurement error on a control variable #rstats https://t.co/thfy1twBY1 https://t.co/dDSDCzrC5L

To look at individual differences, it is essential to consider test-retest reliability: https://t.co/IReAyyPNzR However, standard methods such as ICC can be very misleading: https://t.co/XxlHxXOVdB

This brilliant blog post by @Nate__Haines demonstrates the huge benefits of estimating test-retest reliability using hierarchical models instead of standard ICC on averaged data:

https://t.co/XxlHxXOVdB https://t.co/aAxnZOwUa9

This brilliant blog post by @Nate__Haines demonstrates the huge benefits of estimating test-retest reliability using hierarchical models instead of standard ICC on averaged data: https://t.co/XxlHxXOVdB https://t.co/aAxnZOwUa9

More good reasons to move away from idolising P from single studies. And towards cumulative science. https://t.co/2e3OrMdqoH https://t.co/UZ4PSJpNLE

More good reasons to move away from idolising P from single studies. And towards cumulative science. https://t.co/2e3OrMdqoH https://t.co/UZ4PSJpNLE

Looking for a user-friendly hands-on intro to Bayesian inferences using the brms R package?

Here you go:

https://t.co/dJiKNkY17P https://t.co/XGstTo0TY5
2

Looking for a user-friendly hands-on intro to Bayesian inferences using the brms R package? Here you go: https://t.co/dJiKNkY17P https://t.co/XGstTo0TY5

I'm very proud and excited to present to you: a team science approach to reproducibly studying decision-making! https://t.co/5tCtt9ePuO Want to know what it's been like to work on this? Behind-the-scenes ๐Ÿงต๐Ÿ‘‡ 1/many https://t.co/nCiyELxXxk

โ€œA small P-value is just a warning signal that the current model could have a problem, so we should check our model assumptionsโ€ https://t.co/v277HwzlWg

Quoted @psychopy

Finally out. Out timing mega-study: comparing a range of experiment generators, both lab-based and online You can now see the preprint https://t.co/eEFqOiPxuX and view the data https://t.co/pZoYJgCmU5 Audio, visual and response timing, on many packages, OSs and browsers 1/4

Psychologists who care about measurement precision, read on: https://t.co/fq66p7yLNZ

Interested in health behaviour and socially-intelligent artificial agents? Apply to our @Social__AI Doctoral Training Centre and study how to situate digital health behaviour interventions in daily life! @HealthyCogLab @StacyMarsella See https://t.co/euZKDpCu98 for all projects

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