Workshops & Seminars

	Date	Delivery Method	Price
Measuring What Matters Practical Guide to Selecting and Validating Patient - Reported Outcome Measures Patient-reported outcomes (PROs) are important to clinical trials, health services research, and population health studies. Selecting inappropriate measures or applying weak validation methods can undermine scientific credibility. This intensive one-day workshop provides a structured and practical framework to select, evaluate, score, and interpret PRO measures with methodological rigor	13 October 2026, 9:30am to 5pm	Face-to-Face Workshop
Making Sense of Reality - From 'things' to 'themes': A Systematic Approach to Analysing Lived Experience for Public Health Research Analysing qualitative data involves several procedures from discovering and identifying themes, narrowing themes to a manageable few, building hierarchies of themes and finally, linking themes into theoretical models. Thematic categories are the stuff of qualitative matter. Investigators use themes to describe, compare, and explain social phenomena. The workshop will take participants through each step of transforming empirical data into relevant themes through a systematic process underpinned by current developments in the field of thematic analysis. It will deliver instructional and group-based activities over a period of 2 days	21 - 22 Oct 2026, 9am to 5pm	Face-to-Face Workshop
Justify your N - A Workshop on Sample Size Estimation This course is for anyone looking to eliminate the guesswork from research planning and justify sample sizes with absolute confidence in grant applications and study protocols. By attending, you will master both precision- and power-based estimation methods, learning exactly how to select the right approach for both exploratory and confirmatory studies. Best of all, you will walk away with the practical, hands-on ability to perform these calculations yourself using free, accessible web-based applications	27 October 2026, 10am to 4pm	Face-to-Face Workshop
Causal Inference for Health and Population Research: Concepts, Methods, and Practice Causal inference provides a framework and set of tools for moving beyond associations to ask whether an exposure, intervention, or policy actually causes a change in an outcome. This one-day workshop provides an accessible, practical, and hands-on introduction to causal inference using observational data.	11 November 2026, 9.00am - 5.00pm	Face-to-Face Workshop