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ALLSTAT  November 2018

ALLSTAT November 2018

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Subject:

University of Cambridge- MRC Biostatistics Unit- 8 funded PhD studentships

From:

Angela Talbot <[log in to unmask]>

Reply-To:

Angela Talbot <[log in to unmask]>

Date:

Tue, 6 Nov 2018 10:43:21 +0000

Content-Type:

text/plain

Parts/Attachments:

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text/plain (37 lines)

The BSU is an internationally recognised research unit specialising in statistical modelling with application to medical, biological or public health sciences. 

We are recruiting for 6 (six) MRC funded BSU studentships and 2 (two) NIHR studentships.

To apply for any of the following PhD projects, please visit https://www.mrc-bsu.cam.ac.uk/training/phd/application-procedure/ . 

Deadline for all application information to be received by the University application system is *Thursday 3rd January 2019*

All informal enquires to be directed to [log in to unmask]

We currently have the following projects available at the MRC Biostatistics Unit. 

1.	Construction of multi layer gene regulatory networks to understand the human immune system – Chris Wallace
2.	Statistical inference for response-adaptive clinical trials– David Robertson, Sofia Villar and Adrian Mander
3.	Risk prediction of time to onset of Alzheimer’s disease using imaging modalities within DPUK– Simon White and Brian Tom
4.	Matching approaches for efficient and robust causal inferences in Mendelian randomization– Stephen Burgess and Brian Tom
5.	Evidence synthesis for estimating epidemiology of chronic diseases– Chris Jackson, Daniela De Angelis and Anne Presanis
6.	Dynamic risk prediction of cardiovascular disease using primary care data from New Zealand– Jessica Barrett and Angela Wood (CEU)
7.	Developing Bayesian non-myopic response-adaptive randomisation for the case of delayed endpoint observation– Sofia Villar and Adrian Mander
8.	Conditional false discovery rates in high dimensional data sets– Chris Wallace
9.	Influenza transmission modelling with online model assessment, including detecting and accounting for conflicting evidence– Anne Presanis, Chris Jackson and Daniela De Angelis
10.	Trajectories of modifiable risk factors and their influences on disease outcomes: using genetics in life course epidemiology– Stephen Burgess and Jessica Barrett
11.	Dynamic prediction of in-patient mortality based on electronic health record data: a comparison of landmarking and machine learning approaches– Steven Kiddle and Jessica Barrett
12.	Improving the robustness of mobile health trials through online false discovery rate control – David Robertson and Adrian Mander
13.	Developing methods to estimate HIV incidence and evaluate the role of prevention interventions in controlling transmission– Daniela De Angelis, Paul Birrell (PHE) and Anne Presanis
14.	Modelling the association between blood pressure variability and cardiovascular disease– Jessica Barrett and Stephen Kaptoge (CEU)
15.	Bayesian dose adaptive trials using non-myopic response-adaptive methods– Sofia Villar and Adrian Mander
16.	Longitudinal study design to efficiently estimate biomarker change-point outcomes and time-to-change point– Simon White and Brian Tom
17.	Modelling the sex effect on survival in cystic fibrosis patients– Jessica Barrett and Brian Tom
18.	Statistical methods for integrating intermediate quantitative phenotypes in rare disease genetic association analysis– Ernest Turro (Department of Haematology), Will Astle (CEU and MRC BSU) and Daniel Greene (Department of Haematology and MRC BSU)
19.	Identifying the genetic determinants of translation rate in blood cells and characterising their relevance to human traits– Ernest Turro (Department of Haematology), Will Astle (CEU and MRC BSU) and Mattia Frontini (Department of Haematology)

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