Statistics Module 3: Generalised linear models and generalised linear mixed models

Statistics Module 3: Generalised linear models and generalised linear mixed models

  • Beginn: 14.12.2015
  • Ende: 17.12.2015
  • Vortragende(r): Dr. Fränzi Korner-Nievergelt
  • Oikostat
  • Ort: Möggingen/Radolfzell
  • Raum: MaxLounge
  • Gastgeber: IMPRS for Organismal Biology
  • Kontakt: mhieber@orn.mpg.de
Statistics Module 3: Generalised linear models and generalised linear mixed models
Day 1: Binomial model - refreshing LM and LMM - introduction Bayesian data analysis - logistic regression, binomial model - model assumptions, overdispersion - tests, predictions Day 2: Poisson model - Poisson model - model assumptions, overdispersion - tests, predictions - depending on participants wishes: zero-inflation Day 3: GLMM - including random effects - glmer-function - depending on participants wishes: introduction to WinBUGS and more complex models Day 4: projects - work on own data and presentations Prerequisite for participation Modul 1 and 2, basic knowledge in statistics, linear models (ANOVA) and linear mixed models
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