A talk given at the National Academies workshop on statistical reproducibility: http://sites.nationalacademies.org/DEPS/BMSA/DEPS_153236

1. Evidence based data analysis
Jeff Leek
@simplystats

2. What Roger said but with more pictures.
Jeff Leek
@simplystats

4. The tools for reproducibility
already exist.*

8. I think that it is ironic that a paper that
claims to prove the reliability of the
literature had completely messed up
the two main figures that represent the
core of all its data and its main results.
“
”

9. An analysis can be fully
reproducible and still be
wrong.
“
”

10. http://bioinformatics.mdanderson.org/Supplements/ReproRsch-All/

11. Training not tools

12. Fisher et al. (2014) http://dx.doi.org/10.7717/peerj.589

13. Fisher et al. (2014) http://dx.doi.org/10.7717/peerj.589

14. Prevention not treatment

15. Leek and Peng (2015) doi: 10.1073/pnas.1421412111

17. Scaling training

19. 1,750,000+
Enrolled

20. Even simple things are
hard at scale

21. Leek and Peng (2015) DOI: 10.1126/science.aaa6146