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Professor Jennifer Rogers

Director of Statistical Consultancy Services - Associate Professor of Statistics

OxCSML Group

+44 (0)1865 272860 (Department)
+44 (0)1865 281279 (Direct)

Biographical Sketch

I completed my BSc in Mathematics and Statistics (2006) and MSc Statistics (2007) at Lancaster University, before moving to the University of Warwick, where I completed my PhD in Statistics in March 2011, under the supervision of Prof. Jane Hutton.

I joined the London School of Hygiene and Tropical Medicine Department of Medical Statistics in May 2011 and in September 2013 I was awarded a three year NIHR Post-Doctoral Fellowship for a project titled: ‘Analysis of Recurrent Events in Clinical Trials’.

I joined the Department of Statistics, University of Oxford in September 2015 initially as a Research Fellow, and in July 2016 I took up the role of Director of Statistical Consultancy Services at the University of Oxford, whereby I am responsible for the brand new Oxford University Statistical Consulting, providing comprehensive statistical consultancy services to both internal departments and external businesses. This position involves directing and managing end-to-end provision of the Department’s consultancy activities, which includes: liaising with clients to formulate and solve their statistical problems, interpreting and delivering the results of the statistical analysis, as well as developing and delivering appropriate code and software where required. I am required to direct the Department’s consultancy services, including managing consultancy contracts in conjunction with Oxford University Innovations. I also provide advice and mentoring to colleagues interested in carrying out consultancy activities, operational management of the consultancy team, as well as contributing to the strategic direction of the services. My consultancy roles to date have been wide reaching, but have predominantly focussed on clinical trial research.

Research Interests

  • Statistical methodology
  • Analysis of recurrent events
  • Survival analysis
  • Joint modelling
  • Latent variable modelling

My research is generally focussed on statistical methodology, with applications of statistics to health care. My main area of research to date has been on the development and application of novel statistical methods for the analysis of large-scale clinical trials. My work often requires multi-disciplinary collaboration and I have a number of joint publications. My principal theoretical interests are survival analysis and the analysis of recurrent events with a particular interest in joint modelling strategies that combine the two. I have national and international research networks and have consulted for pharmaceutical companies in the design of a number of major clinical trials. My major medical collaborations have been in cardiovascular disease and in epilepsy.

Notable Appointments

I am a highly active member of the Royal Statistical Society, currently sitting on RSS Council and being the Society’s Vice President for External Affairs. I was also previously appointed as the RSS Guy Lecturer for 2014 and was Honorary Officer for Meetings and Conferences, organising the 2015 and 2016 RSS International Conferences. In addition to my involvement with the Royal Statistical Society, I was the President of the British Science Association Mathematical Sciences Section for 2018.

Media and Public Engagement

I believe that public engagement is an important facet of my career as a successful biostatistician. I also believe that as an academic, I should be an ambassador for my field and that inspiring engagement with the public is paramount in ensuring the future of our profession. I have invested energy in my development as a public speaker and have successfully made a number of appearances on YouTube, TV and radio, as well as speaking at numerous high-profile maths festivals and events, and giving many school presentations. My presentations focus on statistical significance, uncertainty and chance, communicating risk, and issues surrounding correlation versus causation. I present thought-provoking and stimulating statistical concepts in a captivating, interactive and engaging way that is driven by real-world problems.

Selected Publications

  • J.K. Rogers, A.Yaroshinsk, S.J. Pocock, D. Stokar and J. Pogoda. Analysis of recurrent events with in the presence of informative censoring: Application of the joint frailty model. Statistics in Medicine 2016; 35(13):2195-2205. DOI: 10.1002/sim.6853.
  • J.K. Rogers, S.J. Pocock, J.J.V. McMurray, C.B. Granger, E.L. Michelson, J. Östergren, M.A. Pfeffer, S.D. Solomon, K. Swedberg and S. Yusuf. Analysing recurrent hospitalisations in heart failure: a review of statistical methodology, with application to CHARM-Preserved. European Journal of Heart Failure 2014; 16:33-40. DOI: 10.1002/ejhf.29.
  • J.K. Rogers and J.L. Hutton. Comparing treatment policies in early epilepsy through the joint modelling of pre-randomisation event rates and multiple post-randomisation survival times. Journal of Applied Statistics 2013; 40(3):546-562. doi: 10.1080/02664763.2012.748720.
  • J.K. Rogers, J.J.V. McMurray, S.J. Pocock F. Zannad, H. Krum, D.J. Veldhuisen, K. Swedberg, H. Shi, J. Vincent and B. Pitt. Eplerenone in Patients with Systolic Heart Failure and Mild Symptoms: Analysis of the Repeat Hospitalizations. Circulation 2012; 126(19):2317-2323. DOI: 10.1161/CIRCULATIONAHA.112.110536.