Jessica on the Philosophy of Data Science Podcast with Glen Colopy | Advancing Statistical Genomics

In the podcast, Jessica describes common statistical pitfalls in genomic data analysis & the statistical reasoning required to correct these mistakes.

Common themes throughout include:

  • hypothesis-driven science & critical scientific reasoning over data
  • p-values and non-sensical null hypotheses/distributions
  • the value of appearing statistically rigorous
  • researchers cutting intellectual corners & digging themselves into local minima