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Professor Jonathan Bartlett

Professor in Medical Statistics

United Kingdom

I completed the MSc in Medical Statistics at LSHTM in 2004, before going on to do my PhD here. Following this I worked in the Medical Statistics Department for a number of years, before moving to work in AstraZeneca's Statistical Innovation Group. I then returned to academia, moving to the Department of Mathematical Sciences at the University of Bath. In 2022 I returned to LSHTM as a Professor in Medical Statistics.

Affiliations

Department of Medical Statistics
Faculty of Epidemiology and Population Health

Centres

Centre for Data and Statistical Science for Health

Teaching

I currently teach on the Statistical Models for Discrete Outcomes (2462) and Causal Inference and Missing Data (2450) MSc modules. I also organise and teach on our 3 day short course on Statistical Analysis with Missing Data using Multiple Imputation.

Research

I am interested in development and application of statistical methodology for a range of biostatistics problems. Particular areas of focus are methods for missing data and measurement error. I have in recent years worked on estimands in clinical trials, and in particular how causal inference methods can be used within this area.

Selected Publications

Comparison of parametric versus machine-learning multiple imputation in clinical trials with missing continuous outcomes
Tackney, MS; BARTLETT, JW; Williamson, E; Lee, KM;
2026
BMC Medical Research Methodology
The Role of Post Intercurrent Event Data in the Estimation of Hypothetical Estimands in Clinical Trials
BARTLETT, JW; Daniel, RM;
2026
Statistics in biopharmaceutical research
Bayesian analysis of the causal reference-based model for missing data in clinical trials.
NANSEREKO, B; Wolbers, M; CARPENTER, J; BARTLETT, J;
2026
Journal of Biopharmaceutical Statistics
Artificial intelligence to improve the detection and risk stratification of acute pulmonary embolism (AID-PE): protocol for a pragmatic quasi-experimental comparator study.
Gunning, SG S; Page, J; Rossdale, J; Charters, PF P; Hudson, B; Lyen, S; Mackenzie Ross, R; Seatter, A; BARTLETT, JW; Austin, L; Myring, G; McLeod, H; Mitchell, P; Stimpson, D; Cookson, A; Suntharalingam, J; Rodrigues, JC L;
2026
BMJ Open
How to interpret hazard ratios
BARTLETT, JW; Magirr, D; Morris, TP;
2026
Quantifying excess TB prevalence among people living with HIV on ART in the universal ART era: Evidence from a TB prevalence survey in Zambia and South Africa.
Gachie, T; Klinkenberg, E; Shanaube, K; Mureithi, L; Dodd, PJ; Ruperez, M; Schaap, A; Hayes, R; Ayles, H; Bartlett, J; Floyd, S;
2026
PLOS Glob Public Health
jwb133/hypothetical_post_ice_data
BARTLETT, J;
2025
Github
Infection and telomere length: A systematic review.
TUNNICLIFFE, L; Muzambi, R; BARTLETT, JW; Howe, LD; Basit, KA; ASARE, K; GORE-LANGTON, G; MANSFIELD, KE; Codd, V; WARREN-GASH, C;
2025
PloS one
Quantitative bias analysis for mismeasured variables in health research: a review of software tools
Gerlach-Wood, CJ C; Tilling, K; BARTLETT, JW; Hughes, RA;
2025
Figshare
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