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Institute of Digital Health

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Practical Statistics for Medical Research

Medical statistics plays an essential role in all stages of a quantitative health care research project from design through to analysis and interpretation. This intensive course covers the essential principles and methods required. Emphasis is on study design, appropriate analysis, and interpretation of results. The underlying concepts of statistical analysis as well as basic and some more advanced analysis techniques are covered. Sessions include lectures and practical work, both computer based (using Stata) and using small workshops for discussion. The course has been running for more than 20 years and has earned an international reputation. Lectures are taught by experienced medical statisticians from renowned academic institutions.

Published: Feb 9, 2017 4:59:06 PM

Workshop on Personal Genetic Testing: Challenges, Pitfalls, and Benefits in and Beyond the Clinic (27/6/17)

The rapid growth of the Personal Genetic Testing (PGT) market raises a number of important scientific, ethical, legal and social concerns, including data security, privacy, and identity, as well as issues around the accuracy, utility, and communication of inferences regarding ancestry, biological predispositions, disease vulnerability, and the sharing of personal data with third parties.

Published: May 15, 2017 2:14:39 PM

SQL Database Management Software Training (28/06/17)

Database systems are increasingly being used for working with medical data and enable the rapid querying of complex data in health and social care. This short course will introduce the theory behind the relational data model and enable participants to gain an understanding on how data can be modelled and stored in a relational database system and what different data types are used. Through a series of practical-driven sessions using real-life data, students will learn how to load existing data in a contemproary relational database management system and how to craft simple and complex queries for analysing the data. By the end of the course, students will be able to load, format and export data in a format suitable for analysis by common statistical packages.

Published: Jan 12, 2017 2:00:34 PM

Frontiers of Digital Health: Pervasive Analytics for Lifestyle and Urban Sensing (6/7/17)

Over the last 5 years, I have been working to build and deploy context-aware mobile applications, based on sensor data from personal mobile & wearable devices. In this talk, I will detail two key themes of my research. First, I will describe work on wearable analytics that uses sensor data from personal wearable devices (e.g., smartwatches) to capture fine-grained insights on daily lifestyle activities, such as eating.

Published: Jun 2, 2017 3:54:08 PM