introduction

goals

• appreciation for statistical rules
  (practical rigor, not methodological rigor)
• ways to think about/look at data
• familiarity with statistical techniques (GLM, basic GLMMs)
• landscape of more advanced techniques (GLMM)

ground rules

• no “stupid” questions
• if the material seems too hard:
  • ask! I can help later
  • get what you can
• if the material seems too easy:
  • ask! we can talk later
  • think about pedagogy

my heros

Gelman, Harrell, Zuur (et al.), McElreath

feedback

• post-it notes
• every day: too fast/too slow; “one up, one down”
• lots of opportunities for alternative topics
• homework
• https://etherpad.net/p/krakow_2018