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  Cancer survivorship research using Big Data – matched cohort methods


   Institute of Epidemiology, Primary Care & Population Health

This project is no longer listed on FindAPhD.com and may not be available.

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  Dr K Bhaskaran, Dr E Williamson  No more applications being accepted  Funded PhD Project (UK Students Only)

About the Project

Following recent improvements in cancer survival, there are now 2 million people living with a history of cancer in the UK, and millions more elsewhere. The long-term health of these individuals is of concern due to postulated elevated risks of cardiovascular diseases and other complications.

Large electronic health records databases offer a way of quickly assembling a cohort of cancer survivors, but to investigate long-term outcomes, a comparison group is needed. One approach is to create a “matched cohort” of people with no prior cancer but with similar characteristics to the cancer survivor group. However there are a number of outstanding methodological questions about this approach. When is a matched cohort design optimal? How should matching be implemented? How should matched data be analysed?

This project will combine theoretical considerations, simulation study, and real-world data analysis to address these questions. There will also be opportunities to develop and apply the methodology in other contexts, for example to answer pharmacoepidemiological questions.

This is one of several projects currently being advertised as part of the MRC London Intercollegiate doctoral training programme - full details at http://mrc-lid.lshtm.ac.uk. Suitable applicants will have an MSc in Medical Statistics, an MSc in Epidemiology with strong quantitative skills, or equivalent.


Funding Notes

To be eligible for the studentship award applicants must
(a) hold, or expect to obtain before September 2018, a 1st or 2.1 Honours degree (as a minimum), and
(b) be a UK or EU citizen, and
(c) have maintained ordinary residence in the UK continuously for the 3 years preceding 1 September 2018