PhD Project: A unified approach for the statistical analysis of post-randomisation variables in clinical trials
This project will review the analysis approaches for post-randomisation variables, including non-compliance, mediation analysis, surrogate outcomes, missing data and clustering effects. Currently all these issues are considered separately. This project seeks to unify the theory and analysis to provide a comprehensive approach for the statistical analysis of post-randomisation variables in clinical trials.
Based at the Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London:
https://www.kcl.ac.uk/ioppn/depts/BiostatisticsHealthInformatics
Funded as part of the MRC-NIHR Trials Methodology Research Partnership PhD projects:
https://www.methodologyhubs.mrc.ac.uk/about/phd-studentships/
Supervisors:
Professors Richard Emsley and Sabine Landau
https://www.kcl.ac.uk/ioppn/depts/biostatisticshealthinformatics/people/biostatistics
Application procedure:
Please provide an academic CV, a personal statement detailing your research interests and reasons for applying to this PhD, and contact details for 2 academic referees. All documents should be in electronic format and sent via e-mail to: [log in to unmask]<mailto:[log in to unmask]>
The closing date for applications is 1st May 2019.
If required, interviews will be held the week beginning 13th May 2019.
Following interview, the selected candidate will need to apply and be accepted for a place on the Institute of Psychiatry, Psychology and Neuroscience PhD programme. Details about the PhD programme and the application process can be found here: https://www.kcl.ac.uk/ioppn/study/prospective-students/programmes-of-study/pgr/applicationprocess/howtoapply
The start date for the project is 1st October 2019, and is offered full time for 3 years.
Funding provided
* Stipend at UKRI rate (£15,009 p.a. in 19/20) for 3 years
* Tuition Fees at UK/EU rates (£5,700 p.a. in 19/20) for 3 years
* Conference travel of up to £500p.a. for 3 years
* Note that this studentship covers UK/EU tuition fees only
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