Methods & Issues seminar: A bit of a DAG: a rationale for variable selection in assessing the causal effect of serum urate on cardiovascular disease incidence
Thursday, 24 May 2012
12:30 p.m. - 1:30 p.m.
At Room 730-373, Building 730, Tāmaki Innovation Campus
Dr Simon Thornley
School of Population Health
In the era of electronic health records, epidemiologists may need to make decisions about which of an encyclopaedic range of exposure variables to add into a statistical model. Serum urate has attracted some controversy in recent years as an indicator of CVD risk, with varying estimates of effect and a range of approaches to model building. With South Auckland described as the ‘gout capital of the world’, Simon re-examines this issue. He also introduces DAG: directed acyclic graphs, a concept first proposed by computer scientist Judea Pearl, and how they informed decisions about variable selection.
Simon’s PhD focuses on estimating the effect of a range of exposures on the incidence of cardiovascular disease (CVD), using data from primary care, laboratory and national healthcare and mortality records.
Dr Simon Thornley is a PhD student, Professional Teaching Fellow and Public Health Physician in the Section of Epidemiology and Biostatistics. He has varied research interests which include applied biostatistics, addiction and chronic disease epidemiology.
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