Master of Statistics (UNSW)
Oisin is currently working at Neura as a meta-analysis statistician with Ruth Peters and Ying Xu. His primary occupation is as a PhD candidate at the Centre for Big Data Research in Health at UNSW Sydney. His PhD is focused on approaches to using electronic medical records for evaluation of treatment effectiveness and patient subgroup discovery. He has worked for the past 5 years as a statistician/data scientist in healthcare research.
We know that having high blood pressure increases the chance that we will develop dementia and cognitive decline as we grow older but we are still trying to understand whether using blood pressure-lowering treatments (antihypertensives) can help to prevent this. To explore the relationship between blood pressure, blood pressure lowering and cognition we will combine global data from the highest quality placebo-controlled trials of antihypertensive drugs. Working across three institutions, The George Institute for Global Health https://www.georgeinstitute.org.au/, Neuroscience Research Australia and Imperial College London https://www.imperial.ac.uk/ this project will deliver knowledge and targeted clinical recommendations for antihypertensive use to support reduction of dementia risk.
DR GAIL KENNING
Interdisciplinary Fellow Ageing Futures Institute
: 02 8936 0598
To estimate cumulative live birth rates (CLBRs) following repeated assisted reproductive technology (ART) ovarian stimulation cycles, including all fresh and frozen/thaw embryo transfers (complete cycles). CLBRs based on complete cycles are meaningful estimates of ART success, reflecting contemporary clinical practice and encouraging safe practice. These estimates can be used when counselling patients and to inform public policy on ART treatment.
Women who had hypertensive disorders of pregnancy (HDP) are twice as likely to experience maternal cardiovascular disease later in life. The primary aim of this study (BP) is to compare outcomes of 3 different management strategies, including lifestyle behaviour change (LBC), in the first 12 months postpartum in women who had HDP in their preceding pregnancy. Secondary aims include assessing the effects on other cardiometabolic parameters. BP will provide evidence regarding the feasibility and effectiveness of postpartum LBC interventions and structured clinical follow-up in improving cardiovascular health markers after HDP.
On linear regression modeling, the presence of DO was a strong predictor for an increased PWV when controlling for age, BMI and diastolic blood pressure (DBP), thus supporting the hypothesis that atherosclerosis may contribute to the etiology of DO.