Dr Jennifer Nicholas
BSc MPhil PhD
of Medical Statistics
I joined the LSHTM Department of Medical Statistics at the start of 2012. Before this I was at King's College London Department of Primary Care and Public Health working on a project to evaluate the implementation of NHS health checks in the South London area. I have a PhD in Epidemiology from King's College London and MPhil in Epidemiology from University of Cambridge. Before starting my PhD I worked for two years as a public health epidemiologist in the NHS.
My research interests are in randomised clinical trials and in non-randomised clinical studies. I have a methodological interest in the optimisation of clinical trial design in neurology, particularly focusing on trials in dementia and multiple sclerosis.
At the school I have been involved in researching new treatments for people with multiple sclerosis. Currently I am working with the MS Society on design of multi-arm multi-stage clinical trials to assess treatment for progressive multiple sclerosis. I am trial statistician for the MS-STAT2 randomised clinical trial, which is evaluating whether high dose simvastatin can slow progression of disability in secondary progressive multiple sclerosis.
I have also worked with the LSHTM Clinical Trials Unit on trials which examine whether remote ischaemic conditioning can improve clinical outcomes. The REPAIR and ERICCA trials were conducted in patients receiving living donor kidney transplantation and coronary artery bypass surgery respectively. The ongoing ERIC-PPCI trial examines whether remote ischaemic conditioning can improve clinical outcomes following myocardial infarction.
I have an ongoing collaboration with the Dementia Research Centre, UCL, exploring genetic and other risk factors for the development of dementia and examining how dementia affects cognition, brain imaging and other biomarkers. As part of this work I am a co-investigator on GENFI, an international longitudinal study of familial frontotemporal dementia and working with UCL on the Insight 46 neuroscience sub-study of the MRC National Survey of Health and Development.