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Who we are

About the Department of Biostatistics & Health Informatics

The Department has been a major force in the development of quantitative methodology as applied to mental health research, with significant national and international collaborations, and with growing impact into all areas of medicine particularly through expertise in trials and software development. The Department is organised into two groups - biostatistics and health informatics - though we often work closely together on projects.

Leadership

Head of Department: Professor Richard Dobson

Deputy Head of Department: Professor Daniel Stahl

Biostatistics

The Biostatistics theme is made up largely of statisticians. We have five primary areas of methodological and applied research: prediction modelling and personalized medicine; causal evaluation and the analysis of therapeutic mechanism; the Psychometrics & Measurement Lab; life course research; and mental health clinical trial statistics and methodology. Our statisticians also provide statistical collaboration for both introductory and advanced training in applied statistical methodology.

biostatistics

Health Informatics

The Health Informatics theme focuses on translational bioinformatics and its application to complex disease. It is comprised of a mix of data and computer scientists, research software engineers and clinical and bio-informaticians, focused on the use of data from 'omics, electronic health records, the exposome, smartphones, and wearables for real-time tailored care and alerting, trial recruitment, patient stratification, and research. This multi-disciplinary team is able to develop and implement solutions for analysing and interpreting complex integrative datasets and for communicating findings to clinicians and patients.

healthinformatics

More about Biostatistics & Health Informatics

Research themes

Our research

We are driving progress in global mental health research through advanced quantitative methods.

Our impact

Research impact

Driving progress in global mental health research through advanced quantitative methods.

Our people

Our people

Meet the members of the Department of Biostatistics & Health Informatics.

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