Potential optimization/analytics candidates?
2 February 2021Two PhD studentships in Bayesian statistics and machine learning at the University of Hong Kong
2 February 2021Potential optimization/analytics candidates?
2 February 2021Two PhD studentships in Bayesian statistics and machine learning at the University of Hong Kong
2 February 2021The Department of Medical Statistics, London School of Hygiene & Tropical Medicine is delighted to advertise two funded PhD projects for entry in September 2021.
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Project title: “Estimating treatment effects using real world data when there are competing risks https://ubeldtp.files.wordpress.com/2021/01/keogh-ruth-1.pdf.” Supervised by Prof Ruth Keogh (ruth.keogh@lshtm.ac.uk), Prof Linda Sharples, Dr Tom Cowling at LSHTM Department of Medical Statistics. This project is co-funded by the ESRC and AstraZeneca.
Project title: “Modern causal methods to estimate the impact of Individual and Group Health Policies using routinely collected data
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For further information about these projects, about the funding, and about how to apply, please see: ESRC Co-funded Studentships . The deadline for application is 5th March 2020. Potential applicants are strongly encouraged to contact the supervisors by email if they have questions about the projects and for informal discussion.
The students will join a highly active and collaborative group of researchers in the Medical Statistics Department and Centre for Statistical Methodology at LSHTM. Both projects are co-funded by the ESRC and industry partners and offer opportunities to work closely with the industry partner.
Applicants should have an undergraduate degree in mathematics, statistics or a related field and an MSc in statistics, medical statistics, health data science, or a related field, or equivalents for qualifications gained outside the UK.
UK and international students are eligible to apply. For full eligibility criteria please see: https://ubeldtp.ac.uk/esrc-studentships/.
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Ruth Keogh
Professor of Biostatistics & Epidemiology
UK Research and Innovation Future Leaders Fellow
Department of Medical Statistics
London School of Hygiene and Tropical Medicine
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