Introduction to Analysing Repeated Measures Data

  1. Introduction

  2. Potential Analysis Approaches

  3. Mixed Model Analysis

  4. Covariance Pattern Model

  5. Example – Covariance Pattern Model

  6. Significance Testing for Fixed Effects

  7. Model Checking

  8. Random Coefficients (Slopes) Models

  9. Example – Random Coefficients Model

  10. Non-Normal Data with Example

  11. Summary

Keywords: Data analysis, Repeated measures, Roslin Institute

Difficulty level: Beginner

Licence: Other (Not Open)

Authors: Helen Brown

Introduction to Analysing Repeated Measures Data https://tess.elixir-europe.org/materials/introduction-to-analysing-repeated-measures-data Training session with Dr Helen Brown, Senior Statistician, at The Roslin Institute, March 2016. These training sessions were given to staff and research students at the Roslin Institute. The material is also used for the Animal Biosciences MSc course taught at the Institute. Data analysis, Repeated measures, Roslin Institute