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Professor Abderrahim Oulhaj

Khalifa University, Abu Dhabi (United Arab Emirates)
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Biography
Dr. Abderrahim Oulhaj is an associate Professor in Biostatistics at the College of Medicine and Health Sciences, United Arab Emirates University. He holds a PhD in statistics from the UCL University, Belgium. He worked as a Senior Medical Statistician at the University of Oxford for almost 10 years. He was the lead medical statistician for the Oxford Project to Investigate Memory and Ageing (OPTIMA) and then moved to the Diabetes Trial Unit (DTU, Oxford University) to work as the lead medical statistician for the Exenatide Study of Cardiovascular Event Lowering Trial (EXSCEL). Dr. Abderrahim Oulhaj divides his time in teaching undergraduate and post-graduate programs, supervising PhD and Master students and working on many research activities. His research include statistical modelling in the field of Diabetes, Cardio-vascular and Alzheimer’s diseases. He also has a strong interest in predictions modelling especially joint modelling of longitudinal markers and time to event.
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Contributor content

The association between visit-to-visit variability in established risk factors and incident CVD: a post-hoc analysis of the multi-ethnic study of atherosclerosis
Presentation
The association between visit-to-visit variability in established risk factors and incident CVD: a post-hoc analysis of the multi-ethnic study of atherosclerosis
The incorporation of repeated measurements of risk factors at current and previous visits improves the accuracy of cardiovascular risk assessment: an analysis of the EXSCEL trial
Presentation
The incorporation of repeated measurements of risk factors at current and previous visits improves the accuracy of cardiovascular risk assessment: an analysis of the EXSCEL trial
Sensitivity and specificity of cardiovascular risk thresholds used to guide treatment therapy
Presentation
Sensitivity and specificity of cardiovascular risk thresholds used to guide treatment therapy
A new online application to assess and compare a multitude of cardiovascular risk prediction tools and prevention guidelines
Presentation
A new online application to assess and compare a multitude of cardiovascular risk prediction tools and prevention guidelines
Agreement between cardiovascular disease risk assessment tools in the arabian gulf countries population
Presentation
Agreement between cardiovascular disease risk assessment tools in the arabian gulf countries population

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