Biostatistics And Health Informatics Research Md(res)/mphil/phd in Kings College London, UK

Biostatistics And Health Informatics Research Md(res)/mphil/phd in Kings College London

Overview

Number of academic staff: 32

Number of students: 10

Recent publications: Several Biostatistics and Health Informatics staff have led or contributed to major publications in quantitative methodology as applied to mental health research, in particular in randomised trials and electronic health records. The department has published extensively in peer-reviewed journals and a series of important text books. 

Key Benefits: Our PhD programme is designed to train and guide students for a research-intensive career in the academia or industry. Our aim is to train scholars who can do original innovative research or applications in theory, methods, or applications. Students will benefit from world class research and facilities plus internationally recognised supervisors.

Description

The Department of Biostatistics and Health Informatics seeks to develop 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 who work closely together on research projects.

The Biostatistics Group is made up largely of statisticians. We have five primary areas of methodological and applied research: 

• Methods for lifecourse epidemiology
• Psychometrics and measurement lab
• Trials methodology (in collaboration with the UKCRC registered King’s Clinical Trials Unit)
• Prediction modelling and personalized medicine; 
• Causal analysis and evaluation

The Health Informatics Group comprises a mix of data and computer scientists, research software engineers and clinical & bio-informaticians, motivated towards enabling a “panor-omic” view of patients through the integration of traditional omics data with data derived from patient records, the exposome, social graphs, biosensors and imaging to develop P4 medicine approaches, namely, medicine that is precise, predictive, preventative and participatory. In essence, we want to enable the right treatment at the right time for patients. The group has a breath of bio, clinical, medical and health informatics expertise with output that is having direct impact on clinical care.

The department is a leader in the education of methodology, applied statistics and Health Informatics. The department offers a wide range of introductory and advanced training and our Statisticians and Health Informaticians provide consultation on a wide variety of topics related to the field.

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