Dr Jennifer Rogers BSc MSc PhD GradStat
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Jennifer Rogers's Background
I completed my BSc in Mathematics and Statistics in 2006 at Lancaster University. I then remained at Lancaster University for my MSc in Statistics, which I received in 2007. Following this, I moved to the University of Warwick Department of Statistics, where I completed my PhD in Statistics in March 2011, under the supervision of Prof. Jane Hutton. My thesis is titled 'Statistical Models for Censored Point Processes with Cure Fractions' and develops a new class of statistical models that jointly analyse pre-randomisation seizure rates and post-randomisation survival times in clinical trials for epilepsy. The application of my thesis was to assess the benefit of immediate versus deferred treatment in those patients with early epilepsy or single seizures.
I joined the London School of Hygiene and Tropical Medicine Department of Medical Statistics as a Research Fellow in May 2011 and was promoted to Lecturer in October 2013. Since joining the School, my research has mainly focussed on developing and implementing appropriate methodology for the analysis of repeat hospitalisations in patients with heart failure. I was awarded a three year NIHR Post-Doctoral Fellowship in September 2013 for a project titled:'Analysis of Recurrent Events in Clinical Trials'.
I have been a committee member for the Young Statistician's Section of the Royal Statistical Society since 2012 and sat on the President's Nominating Committe in 2013. I am a STEM ambassador for STEMNET, am a speaker for Maths Inspiration and have been appointed the Royal Statistical Society Guy Lecturer for 2014 which involves preparing a lecture aimed at sixth form and GCSE students that draws out the importance and widespread applicability of statistics in a serious but accessible and entertaining way. The title of my Guy Lecture is: Making life saving decisions in clinical trials: how much evidence do we need?
I have had a number of media interactions, namely:
- Mystery Map was a two-part series exploring some of the nation’s best-known mysteries and unexplained occurrences. One of the mysteries explored in this episode was spontaneous human combustion and I appeared as an expert statistician, calculating your risk of dying from this phenomenon and comparing that to more probable causes of death. This was broadcast by ITV1 on 27th November 2013.
- Expert Statistician for Long Live Britain, a series comprising two shows which aimed to raise awareness of three of Britain's biggest preventable conditions. The show undertook the UK's largest ever combined health screening to investigate risks of Type 2 diabetes, heart disease and alcoholic liver disease. My role was to compile the statistical results real time, communicate findings on camera and produce UK projections based on these. This was broadcast by BBC1 on 5th August 2013.
- Voice of the Future 2013, hosted by the Select Committee for Science and Technology in the House of Commons, and broadcast by BBC Parliament on 20th March 2013.
- Interviewed for the BBC Radio Shropshire Breakfast Show (broadcast 6th September 2012) on the role of the statistician in the real world as part of their coverage of the Royal Statistical Society Conference 2012.
Please see my LinkedIn profile for more information: http://www.linkedin.com/in/jkrogers
Jennifer Rogers's Affiliation
Jennifer Rogers's Teaching
I have been involved in teaching on Probability, Survival Analysis, Robust Methods and Advanced Statistical Methods.
I am currently the module leader for Probability.
Jennifer Rogers's Research
My research is focussed on cardiovascular disease and I am currently investigating methods for handling recurrent heart failure hospitalisations as an alternative to the more standard composite endpoints in randomised clinical trials. The focus of my NIHR project is the development of new statistical models for the analysis of recurrent hospitalisations in heart failure in the presence of dependent censoring. This will involve me investigating the relationship between recurrent heart failure hospitalisations and the competing risk of cardiovascular death. I will also be considering new statistical methodology that models the dependency structure between recurrent hospitalisations in general and in the lead up to cardiovascular death.
I have an honorary post at the MRC Clinical Trials Unit at UCL where I am unvestigating the prevalence of violations of the proportional hazards assumption in the analysis of survival data and the subsequent consequences associated with misspecification of the survival model.
- Randomised controlled trials
Disease and Health Conditions
- Cardiovascular disease
- Latent Variable Modelling
- Recurrent Events
- Survival Analysis
Analysing recurrent hospitalizations in heart failure: a review of statistical methodology, with application to CHARM-Preserved.
Rogers, J.K. ; Pocock, S.J. ; McMurray, J.J. ; Granger, C.B. ; Michelson, E.L. ; Ostergren, J. ; Pfeffer, M.A. ; Solomon, S.D. ; Swedberg, K. ; Yusuf, S. ;
Eur J Heart Fail, 2014; 16(1):33-40
Joint modelling of pre-randomisation event counts and multiple post-randomisation survival times with cure rates: application to data for early epilepsy and single seizures
Rogers, J. K.; Hutton, J. L.
Journal of Applied Statistics, 2013; 40(3):546-562
Assessing the risk of subsequent tonic-clonic seizures in patients with a history of simple or complex partial seizures.
Rogers, J.K.; Hutton, J.; Marson, A.G.; Chadwick, D.W.;
J Neurol Neurosurg Psychiatry, 2012; 83(8):803-9
Eplerenone in Patients with Systolic Heart Failure and Mild Symptoms: Analysis of Repeat Hospitalizations.
Rogers, J.K. ; McMurray, J.J. ; Pocock, S.J. ; Zannad, F. ; Krum, H. ; van Veldhuisen, D.J. ; Swedberg, K. ; Shi, H. ; Vincent, J. ; Pitt, B. ;
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