Title: Maximising the value of Australasian cohorts | Date: Monday 19 March to Thursday 22 March 2018 | Price: $1299 + GST | Registration includes: 4-day program; Welcome reception; Morning and afternoon refreshments; Lunches; Masterclass dinner (Wednesday 21 March, 7.00pm) | Venue: Elements Resort, Byron Bay, NSW | Accommodation, travel, and transfers are not included in registrations | Please note that this event is a Masterclass - there is no Call for Papers.
We are delighted to open registrations for the 2018 Longitudinal Studies Masterclass with international presenter Professor Jonathan Sterne, focusing on data analysis methods, titled:
Maximising the Value of Australasian Cohorts
Combined analyses of observational data: meta-analytic and integrated approaches
The masterclass will be held Monday-Thursday, 19-22 March 2018, in Byron Bay, NSW, and will include 4 days of presentations and workshops tailored for Australasian longitudinal data experts.
Topics
Practical lab sessions
Venue
The masterclass and workshops are being held at the beautiful Elements Resort, Byron Bay. In addition to hosting the 4-day masterclass event, the venue offers luxurious 1, 2 and 3-bedroom villas. Our events team has negotiated an accommodation discount with Elements Resort for LSN Masterclass delegates (conditions apply), plus other accommodation options are available nearby and in central Byron Bay.
About the presenter
Professor Jonathan Sterne is Professor of Medical Statistics and Epidemiology in the University of Bristol’s Department of Population Health Sciences, and Deputy Director of the new NIHR Bristol Biomedical Research Centre. Having studied undergraduate mathematics at the University of Oxford, Jonathan obtained an MSc in Statistics at UCL, after which he completed a PhD while working at the MRC Dental Research Unit. After six years at the London School of Hygiene and Tropical Medicine and three years at King’s College London, he moved to Bristol in 1999.
Jonathan leads a large scale collaboration of HIV cohort studies that led to advances in our understanding of prognosis of HIV positive people in the era of effective antiretroviral therapy. He has a longstanding interest in methodology for systematic reviews and meta-analysis, led development of the ROBINS-I tool for assessing risk of bias in non-randomised studies of interventions, and contributed to the development of the Cochrane risk of bias tool for randomised trials. He has authored highly-cited papers on causal inference, including methodology for instrumental variable analyses of Mendelian randomisation studies. Other research interests methodology for epidemiology and health services research and the epidemiology of asthma and allergic diseases.
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