Applied Statistical Modelling and Health Informatics (ASMHI) PG Cert/ MSc available in 2020 Blended Distance Learning
Prof. Daniel Stahl Prof. Richard Dobson (HoD) Zahra Abdulla
Why Applied Statistical Modelling and Health Informatics? NHS is unsustainable and needs a transformation through digital tools and data to cope with today’s challenges. Health data is a complex, challenging sector of data science, requiring transferable data science skills & cross disciplinary working. A more rigorous methodological approach is needed to deal with the replication crisis in science.
Why a PgCert in ASMHI? A ground-breaking course that provides world class training in methodological techniques underpinning big data acquisition, multimodal problem solving and information analysis, to solve real-world problems for health.
How do we do it? By drawing on the wealth of research, education expertise and experience from researchers working at the cutting edge of their field and from across our world-renowned IoPPN.
Statistical modelling
Statistical modelling is a mathematically-formalized way to approximate reality and to make predictions from this approximation. It encompasses inferential techniques such as generalized linear models, causal modelling and structural equation as well as modern computer-intensive machine learning approaches. Machine learning systems can learn from data, identify patterns and make decisions with minimal human intervention.
Biostatistics & Health Informatics department World-wide leading in the development of quantitative methodology and health informatics. Significant national and international collaborations. The department research groups: Causal Analyses & Evaluation Life Course Epidemiology Mental Health Trials Precision Medicine and Statistical Learning Psychometrics and Measurement Natural Language Processing Genomics Mobile Health
The Digital Era
“A new model of medicine is being induced by the digital era and the altered way in which information will be flowing” Eric Topol
‘‘I think the biggest innovations of the 21st century will be at the intersection of biology and technology. A new era is beginning’’ Steve Jobs
Precision medicine “an approach for treatment and prevention that takes into account each person’s variability in genes, environment and lifestyle” Made possible by • provision of “new” data: Imaging, genetics, omics, patient records and sensors in smartphones and wearables and internet and smart phone usage (Health informatics) • high performance computing technology that effectively collects, processes, stores and analyses “big data” (Statistical modelling, Machine learning, AI)
Why blended learning?
Flexible Individual Inclusive Taught by researchers working at the cutting edge of their fields in multimodal and big data.
Structure of PgCert ASMHI Fundamental Modules
Introduction to Statistical Programming
Optional Modules Natural Language Processing (NLP) Structural Equation Modelling (SEM)
Prediction Modelling
Machine Learning for Health and Bioinformatics
Psychometrics
Introduction to Statistical Modelling
Multilevel and Longitudinal Modelling
Computational Neuroscience Introduction to Health Informatics (SEM)
Causal Modelling and Evaluation
Machine Learning for Health and BIoinformatics
Clinical Trials
Structure of ASMHI Modules
1 Week
Face 2 Face
Face 2 Face
Face 2 Face
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Face 2 Face
100% online
4 Weeks
1 Week
Lectures by world leading experts Interactive Sessions Hand’s on workshops Quizzes Consolidation and Reflection
100% Online
100% Online
100% Online
Project Work E-portfolio of Skills Exam
100% Online
Would you like to join us? Want to learn more? Course page HERE Contact: PgCert ASMHI Enquiries kcl-asmhienquiries@kcl.ac.uk Prof. Daniel Stahl Daniel.r.Stahl@kcl.ac.uk Prof. Richard Dobson richard.j.dobson@kcl.ac.uk Zahra Abdulla (Senior Teaching Fellow) zahra.abdulla@kcl.ac.uk