Applications are open for a PhD Studentship in causal inference in the
context of cancer data and health technology assessment.
Location: University of Sheffield
Start date: October 2019 (latest)
Application deadline: 1st March 2019
The PhD is based in the School of Health and Related Research (ScHARR),
University of Sheffield, and is funded by Yorkshire Cancer Research. Fees
will be paid, plus an annual maintenance grant and a training budget.
Broadly, the project will be to do with causal inference in the context of
cancer data and health technology assessment. In particular, the project
could focus on:
(i) Causal inference to estimate comparative effectiveness using UK cancer
registry datasets;
(ii) Causal inference for estimating transition probabilities for health
economic models of cancer treatments.
But prospective students are free to suggest their own research plan, as
long as it is in the broad area of causal inference and health technology
assessment.
Adverts are here:
https://www.findaphd.com/phds/project/phd-studentship-in-causal-inference-for-the-analysis-of-cancer-registry-data-funded-by-yorkshire-cancer-research-ycr/?p105476
https://www.findaphd.com/phds/project/phd-studentship-in-causal-inference-in-the-context-of-health-economic-modelling-funded-by-yorkshire-cancer-research-ycr/?p105477
Supervision will be by Dr Nicholas Latimer and others, depending upon the
topic chosen. For further details, please contact [log in to unmask]
--
Nicholas Latimer, PhD
Reader in Health Economics
Health Economics and Decision Science
NIHR Post-Doctoral Research Fellow
ScHARR
University of Sheffield
Regent Court
30 Regent Street
Sheffield
S1 4DA
Tel: +44 (0) 114 222 0821
Fax:+44 (0) 114 272 4095
Email: [log in to unmask]
www.shef.ac.uk/heds
Follow HEDS at :http://scharrheds.blogspot.co.uk/
Twitter: @NRLatimer
Forthcoming course: Causal Inference in Observational Studies and Clinical
Trials Affected by Treatment Switching: A Practical Hands-on Workshop
<https://umit.at/page.cfm?vpath=departments/public_health/htads-continuing-education-program/causal-inference>,
18-21 March, 2019
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