Researcher Skills
Biostatistics Essentials for Health Researchers
From descriptive statistics to regression modelling, taught through applied health-science datasets and analysis plans.
Learning outcomes
- • Choose appropriate tests
- • Write a statistical analysis plan
- • Interpret regression outputs
- • Avoid common statistical errors
Curriculum
Module 1 — Foundations
- • Data types
- • Descriptive statistics
- • Distributions
Module 2 — Inference
- • Hypothesis testing
- • Confidence intervals
- • Sample size logic
Module 3 — Modelling
- • Linear regression
- • Logistic regression
- • Survival basics
Who is this for
- • Researchers with no statistics background
- • Postgraduate students
- • Clinicians