Instructor: Jean-Baptiste Poline

Outline

With this lecture, you will get a general introduction to reproducible - or irreproducible - life sciences.

Specifically, you will:

• learn what is meant by reproducibility of research results in the life sciences
• understand the main causes for irreproducible results
• learn the possible collective and individual actions for curbing irreproducibility

Questions you will be able to answer after taking this module

• Is the term “replicability” generally applied to obtaining the same results with another (new) dataset ?
• Is the root cause of irreproducibility the publication incentive ?
• What is a similar result with the same methodology or pipeline but different data ?

Material

• code
• slides

Resources

• Canonical paper: Ten common statistical mistakes to watch out for when writing or reviewing a manuscript

Pre-recorded lecture video

Extras

explanation

• ReproNim Statistics Module
• Shiny apps
  • train your p hacking skills
  • distribution of p-values
  • Understanding positive predictive values
• Nice visualization on R psychologist to better understand
  • p values
  • null hypothesis statistical testing
  • confidence intervals
  • dsitributions of p-values

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