Introduction to Mixed Models
Introduction
What Are Mixed Models?
Potential Advantages of Mixed Models
Historical Perspective
Example 1: Biological & Technical Replicates
Example 2: Rabbit Inspiration Time – Sources of Variation
Non-Normal Data
Example 3: Non-normal data
Trials Involving Comparisons Between Units
Example 4: Crossover Trial
Repeated Measures Data
Practical considerations – Negative Variance Components
Significance Testing for Fixed Effects
Model Assumptions & Model Checking Methods
Sample Size Estimation
Explaining A Mixed Model
Statistical Packages
Licence: Other (Not Open)
Keywords: Mixed models, Roslin Institute
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