Head of the Biostatistics Group at OUCRU
Associate professor in biostatistics at the University of Oxford
I obtained my PhD in mathematical statistics in 1997. Since I wanted to continue my career in an applied field of research, I was very happy to start as senior statistician at the public health service of Amsterdam. There I specialised in the analysis of data that are collected in cohort studies, i.c. the Amsterdam Cohort Studies on HIV infection and AIDS. I was involved in many studies on infectious diseases, especially those that are transmitted via sexual contact. Besides, I worked in several (medical) statistical research groups in the Netherlands, most notably in the academic medical center in Amsterdam. I joined OUCRU in January 2017 and became associate professor at Oxford University.
My research interests include: i) models for complex time-to-event data (competing risks, multi-state models), ii) models for complex longitudinal data, iii) prediction based on time-updated marker values, iv) causal inference, v) infectious diseases vi) graphics design and principles of data visualization.
I performed, contributed to and supervised medical, epidemiological and statistical studies. These efforts are reflected in more than 150 articles as published in international journals, as well as one book:
Ronald B. Geskus. Data Analysis with Competing Risk and Intermediate States. CRC Press, Boca Raton 2016. ISBN 9781466570351; see http://www.competingrisks.org
5 key recent research articles:
Geskus RB, Gonzalez C, Torres M, Del Romero J, Viciana P, Masia M, Blanco JR, Iribarren M, De Sanjose S, Hernandez-Novoa B, Ortiz M, Del Amo J; CoRIS-HPV Study Group (2016). Incidence and clearance of anal high-risk human papillomavirus in HIV-positive men who have sex with men: estimates and risk factors, AIDS, 2;30(1):37-44. https://doi.org/10.1097/QAD.0000000000000874
Matser A, Schim van der Loeff M, Geskus R (2018). Determining the Most Likely Source of Infection: An Application to Neisseria Gonorrhoeae Among Men Who Have Sex with Men. Epidemiology. 2018 May;29(3):421-430. https://doi.org/10.1097/EDE.0000000000000816
Thao LTP, Geskus R. (2019) A comparison of model selection methods for prediction in the presence of multiply imputed data. Biometrical Journal. Mar;61(2):343-356. https://doi.org/10.1002/bimj.201700232
van Santen DK, van der Helm JJ, Touloumi G, Pantazis N, Muga R, Gunsenheimer-Bartmeyer B, Gill MJ, Sanders E, Kelleher A, Zangerle R, Porter K, Prins M, Geskus RB; CASCADE Collaboration within EuroCoord (2019). Effect of incident hepatitis C infection on CD4+ cell count and HIV RNA trajectories based on a multinational HIV seroconversion cohort. AIDS. 2019 Feb 1;33(2):327-337. https://doi.org/10.1097/QAD.0000000000002040
Ronald B. Geskus (2020). Chapter 5 – Competing risks: Aims and methods, Editor(s): Arni S.R. Srinivasa Rao, C.R. Rao, Handbook of Statistics, Elsevier, Volume 43, Pages 249-287. https://doi.org/10.1016/bs.host.2019.11.001
Nuffield Department of Medicine, University of Oxford