FB2NEP — Nutritional Epidemiology

1 Welcome

This site hosts the practical teaching materials for FB2NEP: Nutritional Epidemiology & Public Health.
The data used here are synthetic and reproducible — see the provenance.

It is important that you familiarise yourself with this repository. It will be used for teaching and is part of the assessment.

🚀 First time using Python or Colab?
Head straight to the How-To & Sandbox section.
It explains how to open notebooks in Colab, which warnings to accept, and gives you a safe playground to practise before diving into the main material.

2 Contents

  • 01 · Introduction to Epidemiology
    Open 01 in Colab

  • 02 · Study designs, exposure and outcomes
    Open 02 in Colab

  • 02b · Study population & missing data plan
    Open 02b in Colab

  • 03 · Exposure analysis (dietary intake vs biomarker)
    Open 03 in Colab

  • 04 · Theoretical model building — DAGs
    Open 04 in Colab

  • 05 · Regression analysis (cross-sectional)
    Open 05 in Colab

  • 06 · Regression analysis (prospective: logistic & survival)
    Open 06 in Colab

  • 07 · Advanced topics (confounding, colliders, mediation, imputation)
    Open 07 in Colab

  • 08 · Summary
    Open 08 in Colab

3 Assessment

For your assessment, you will analyse the dataset and report results.
All relevant details are here: Assessment Brief.