Special Topics

Interpretation of single arm studies. Common methods explained: propensity score matching and IPTW.
Understanding some common methods. Assessment of study reports and publications - can we trust the results?
Treatment effect heterogeneity: who will benefit? Interaction tests and Forest plots. Some common problems, and solutions. Checklist for assessing study reports and publications. Description text goes here
Understanding censoring and Kaplan-Meier curves. What does the Hazard Ratio actually mean? Cox PH regression and other methods.
Combining results from multiple studies: common approaches to meta-analysis. Checklist for assessing quality of evidence.
Data monitoring committees. Understanding alpha-spending and some common approaches.
Defining the NI margin. What is assay sensitivity and why does it matter? Thinking differently about analysis sets and estimands.
Learn the principles of effective data visualisation. How an understanding of visual perception can be used for pattern detection and storytelling in clinical data.

A deeper dive into some topics commonly encountered in clinical trials and evidence generation.