Analyzing ordered categorical phenotypes: challenges and pitfalls

Quentin D. Read

Who is this talk for?

  • Anyone who works with categorical phenotypes
  • Hopefully you have a little experience with statistics
  • It’s OK if you do more “applied” stats and don’t have a solid background in statistical theory … I don’t either!

Applied statistics

Talk outline

  • What is categorical phenotype data, and what are its advantages and disadvantages?
  • How should we analyze categorical data?
  • Practical recommendations

Image (C) Maria Gusarova

What is categorical phenotype data?

  • It may be ordered or unordered
  • unordered: color, etc. (not the focus of this talk)
  • ordered: low/medium/high, disease score from 1-5, etc.