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Senior Research Associate in Medical Statistics
Mathematics & Statistics
£31,644 to £36,661
Wednesday 19 March 2014
To be confirmed
To work on an MRC funded project “Heterogeneity in treatment effects: Can modelling techniques provide personalized prediction of treatment response and uncover groups of respondents?”.
Randomized trials of novel drugs, health technologies and non-drug interventions are usually designed to test average treatment effects. In the analysis of these trials it is therefore typically assumed that treatment effects are constant across individuals. This strong assumption is often neither supported by empirical evidence nor the theories undergirding the intervention. This project will develop novel statistical methods to empirically identify individual patients treatment effects.
The project is a cross-institutional initiative between the Statistics Groups at the Universities of Lancaster and the Department of Psychology at the University of South Carolina, Columbia (USA) led by Dr Thomas Jaki (Lancaster) and Prof M Lee Van Horn (Columbia, SC, USA).
You should have a PhD in Statistics or related discipline and good programming skills are essential.
This is a fixed term contract for 3 years.
Informal enquires can be addressed to Dr Thomas Jaki (email@example.com).
We welcome applications from people in all diversity groups
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