Project

Determining heterogenous treatment effects from real world medical data

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real world medical data project

Randomised clinical trials (RCTs) are the key gold standard in pre-market evaluation of the safety and efficacy of therapies, however they do not always represent real-world populations or settings. The results identified in an RCT for the “average” patient could also miss substantial benefits of harms for particular sub-groups. This project aims to develop an analytic framework and methodology for measuring and reporting on the use and effectiveness of interventions in heterogeneous populations as used in routine care. This will be developed and evaluated using exemplar interventional procedures, including the use of electroconvulsive therapy (ECT) for treating depression, schizophrenia, and manic or psychotic symptoms.

School

Centre for Big Data Research in Health

Research Area

Mental Health 

Our research programs: Mental health

Nearly half of Australians will experience a mental health disorder at some time in their life, with one-in-six experiencing thoughts of suicide. 

Real world evidence

At the Centre for Big Data Research in Health (CBDRH), we develop capability for real-world evidence. This is evidence regarding the use and potential benefits and risks of a medical product or intervention derived from analysis of real-world data. 

Our research home

The Centre for Big Data Research in Health (CBDRH) actively fosters a broad community of researchers who are adept in advanced analytic methods, agile in adopting new techniques and who embody best practices in data security and privacy protection.