Other training courses

Introduction to the basic concepts and methods commonly used in medical and public health research.

Learn about the underpinning logical arguments for statistical inference and the terminology used in this hands-on course. SPSS is used throughout the day, so attendees are expected to be familiar with this statistical software as well as descriptive statistics.

This course is a logical continuation of the Introduction to Statistics 1 course. Besides continuing to cover the commonly used statistical tests, it also provides an overview of selecting the most appropriate statistical test.

Introduction to the methodology of systematic reviews and meta-analysis.

Supports health professionals and academic partners who are preparing research proposals by considering the application as a marketing document, clarity of description and explanation, feasibility issues, and identifying and avoiding potential pitfalls.

This 15 credit module aims to equip learners with the knowledge, skills, and critical thinking abilities to effectively engage with qualitative research methodologies in health and care research.

Learn to (1) critically analyse the strengths, limitations and issues to consider with different types of epidemiological studies; (2) assess the sources of evidence routinely used as a basis for health policy and practice; (3) interpret and apply the results of basic statistical analyses, particularly inferential statistics; and (4) use appropriate tools to critically appraise the evidence used in public health.

A theoretical and practical introduction to questionnaire design, application and data interpretation.

Learn to interpret the validity and reliability of healthcare data (e.g. clinical trials, reviews, audits) and respond appropriately with respect to their clinical practice.

Through following the process of carrying out a Systematic Review, learn practical skills required for searching, evaluating and synthesizing evidence in health behaviour.