- RESEARCH METHODS & STATISTICS
- INTRODUCTION
- FOUNDATIONS
- 2 Understanding, describing & exploring data
- Defining data
- Test Yourself
- Numerical summaries & display
- Test Yourself
- Categorical summaries & display
- Test Yourself
- Two numerical variables
- Test Yourself
- Transformations: Z-Scores
- Test Yourself
- Transformations: Logged variables
- Test Yourself
- Describing binary variables (prevalence & incidence)
- Test Yourself
- 3 Basic study design principles
- 4 Ideas of statistical inference
- 5 Basic probability
- 2 Understanding, describing & exploring data
- STATISTICAL INFERENCE
- SIMPLE COMPARISONS
- STUDY DESIGN & CONDUCT
- STATISTICAL MODELLING
- EVIDENCE SYNTHESIS
- GLOSSARY
- CREDITS
Lecture
This topic will be delivered by face to face lecture by Dr Liang Wong
Learning outcomes
- Identify a good or bad research hypothesis
- Understand the concept of dependent and independent variables
- Outline the factors to consider when taking measurements
- Discuss issues to consider when designing experiments
- Describe basic experimental designs with appropriate controls