Study Design & Analytics
Working group objective
Advise on the design (including for adaptive studies), conduct, and statistical analysis of COVID-19 studies, including clinical trials.
Working group current members
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 (https://amsterdamcohortstudies.org). I performed and supervised many studies on infectious agents, 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.
Dr James Watson is a statistician and data analyst at MORU, Bangkok. His background is Mathematics and Computer Science (undergraduate) and Bayesian Statistics (DPhil). For the last 5 years he has worked as a postdoctoral researcher at MORU with a focus on clinical trial design for multiple tropical diseases, including malaria, snakebite envenoming, and Chagas disease.
- Efficient adaptive designs for clinical trials of interventions for COVID-19, Statistics in Biopharmaceutical Research 2020
- GOST: A generic ordinal sequential trial design for a treatment trial in an emerging pandemic, PLOS Neglected Tropical Diseases 2017
- A minimal common outcome measure set for COVID-19 clinical research, Lancet Infectious Diseases 2020
- Resources for COVID-19 randomized clinical trial design