Comparative Risk Assessment: what is it and how can it be useful
About Steve: Steve became involved with the Comparative Risk Assessment (CRA) project in 2000 when he joined a team of researchers led by the World Health Organisation and Harvard School of Public Health. Initially, he was one of the statisticians working within the core development group of the CRA project and later contributed as an advisor on statistical questions arising across different areas of the Global Burden of Disease project. Otherwise, Steve has worked mainly within the biotechnology industry and in other areas involving clinical trials. He recently moved to Melbourne and now works as a statistical consultant at the Statistical Consulting Centre.
by Steve vander Hoorn
Abstract: Reliable and comparable analysis of risks to health is key for preventing disease and injury. Causal attribution of morbidity and mortality to risk factors has traditionally been in the context of individual risk factors often in a limited number of settings, restricting comparability. Furthermore, data for trends in major determinants of global and regional burden of disease are needed to set intervention priorities and evaluate national programmes. The CRA analytic framework offers an alternative approach to understanding the role of risk factors. An advantage of CRA is that it can be used across different disciplines each utilising methods for risk assessment but usually with varying terminologies, methods, and types of data. This talk aims to introduce the general concepts of CRA as well as statistical methods underlying it. Results from several analyses will be presented and more recent ideas for potential future directions will be put forward.
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