MRI Workshop Videos, Including Two Short ‘p Values Suck’ Talks

I recently posted about MRI Together. It was a great global zoomfest, and now videos of the talks are online.

The Videos

The YouTube site with all the videos is here, but it’s easiest to scan the program and click on any talk title to go to the video.

It’s clear that many in the MRI community have been working on Open Science issues for a while. It was great to see lots of talks about software for statistical analysis of scans, and the challenges of making analyses reproducible–and of finding good ways to make code and the highly complex data sets open, and readily usable by others.

I’ll mention just a few videos below.

An Intro

Cassandra Gould van Praag gives an engaging intro talk here. She encountered a range of OS issues when her PhD examiners required modifications to her thesis. She bravely tells the story of the work and revisions she had to undertake. She must have taken the lessons to heart: Her current job is to develop and promote the open science infrastructure of Oxford Neuroscience.

Two ‘p Values Suck’ Talks

Valentin Amrhein gave a rousing talk titled ‘P Values and the Replicability of Results‘. The video is here. He has some well-chosen graphics and some striking graphs, for example of the wide range of likely p values in various situations. You won’t be surprised to hear that I heartily agree with almost everything he said.

My talk was titled The New Statistics for Reproducible Science The video is here. My three take-home messages were:

  1. p values are highly unreliable, never trust them
  2. Adopt Open Science practices, planned analyses
  3. esci, Bob’s new software for estimation, meta-analysis, teaching, and more, is available now (in beta), and gaining thousands of installs each month. It includes great graphs with confidence intervals. It’s a pleasure to teach with it.

Brian Nosek Rounds It Off

Talk title: Publishing and Sharing Open Science. The video is here. Brian does a typically neat and persuasive job, of course with lots of evidence.

Lots more gems to discover: Just browse the program.

Geoff

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