Let's flex those stats muscles on Thursday, June 18th 2020 at 2pm!
Weak or strong, we could all use some reps on the statistical equipment in the discipline.
Practice and Learn:
- See how others are using statistics to evaluate data in their own research.
- Explore a topic you feel weak in, or never learned.
- Expose ourselves to new statistical topics
- Discuss common pitfalls associated with data analysis
How can I participate?
Attend (but not present)
Just be a part of this thing.
Come and give your take on presentations, or dish on topics you'd like to get others' perspective on.
We'd love to hear your perspective!
Showcase a method
Read about a method from any of the resources below.
Make a 2-4 slide presentation on it,
Apply it to your data if you choose.
Doghouse: bad research in print
Who needs to do better? Is there a total flub that got by reviewers? Let us know!
How should they have done their analyses?
Re-analyze it yourself! (optional)
- Modern Statistics for Modern Biology, by Susan Holmes and Wolfgang Huber
- The Cartoon Guide to Statistics, by Larry Gonick
- for purchase
- OpenIntro Statistics, by David Diez
- PDF available
- Statistics and Probability, by Khan Academy
- Website with lessons and tutorials
- Statistics for Biologists Collection, by Nature Publishing Group
- Open: A series of articles chronicling statistical issues Biologists may face
- Stat Trek
- Website for statistics training and tools
- Think Stats, by Allen B. Downey
- Free PDF
- Introduction to probability and statistics for Python programmers
- Includes code examples and exercises in accompanying Github repository
- A biologist's guide to statistical thinking and analysis, by David Fay and Ken Gerow
- PDF of WormBook chapter co-authored by fellow Front Range C. elegans researcher David Fay
- Explain XKCD
- A wiki-style database of statistics-related XKCD comics
- Includes explanations of the statistical concept referenced in the comic
- Statquest Youtube Videos: