Why p values aren’t necessary: they are not evidence, and they can’t be replicated
Testing scientific code
At the end of last year I had the pleasure of talking to Brian Okken about testing scientific code on his podcast Test & Code. In case you missed the episode, it is included below. As you will hear at the end of the episode, Brian invited me back to talk about Test Driven Development, so stay tuned…
Read moreMarkdown for Science and academia – Why?
We write a lot as scientists. We write emails, we write grants, we write presentations, we write papers. We also write a lot as academics. We write lecture notes and slides, we write course outlines, we write tutorials. The tool we use to write these various forms of communication is to some extent up to us, but it also depends
Read moreWhy p values aren’t necessary: They don’t tell us whether hypotheses are true
spike2py: a python package to process data collected with spike2
going the extra yard: Sharing scientific data and computer code
Scientifically Sound 