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Dr Jennifer Thompson

Assistant Professor

United Kingdom

I am a trial statistician and methodologist in the International Statistics and Epidemiology Group (ISEG). My research focuses on developing statistical methods for use in cluster-randomised trials, with a special interest in stepped-wedge trials. I completed my PhD at the school in 2017. My PhD focused on statistical methodology to improve the design and analysis of stepped-wedge cluster-randomised trials. Previously, I have worked at the MRC Clinical Trials Unit at UCL.

Affiliations

Department of Infectious Disease Epidemiology and International Health
Faculty of Epidemiology and Population Health

Centres

Centre for Data and Statistical Science for Health
Centre for Evaluation
TB Centre

Teaching

I co-organise a short course in the Design & Analysis of Cluster Randomised Trials and Stepped Wedge Trials. I also teach on the distance learning module Cluster Randomised Trials (CTM209) and face-to-face Clinical Trials module.

Research

My research focuses on statistical methodology for cluster randomised trials. Much of my work focuses on the stepped wedge trial design and developing robust methods of analysis. I help to maintain a website providing guidance to researchers on conducting cluster randomised trials. I was the a statistician for a recently completed cluster randomised trial evaluating the impact of an electronic monitoring box aiming  to improving adherence to tuberculosis treatment in China.

Research Area
Applied statistics (medical)
Statistical methods
Public health measure evaluation (statistical methods)
Randomised controlled trials
Impact evaluation
Disease and Health Conditions
Tuberculosis

Selected Publications

Cluster randomized controlled trial analysis at the cluster level: The clan command.
THOMPSON, JA; Leurent, B; Nash, S; Moulton, LH; HAYES, RJ;
2023
The Stata journal
Digital adherence technologies to improve tuberculosis treatment outcomes in China: a cluster-randomised superiority trial.
Liu, X; THOMPSON, J; Dong, H; SWEENEY, S; Li, X; Yuan, Y; Wang, X; He, W; Thomas, B; Xu, C; Hu, D; VASSALL, A; Huan, S; Zhang, H; Jiang, S; FIELDING, K; Zhao, Y;
2023
The Lancet. Global health
swpermute: Permutation tests for Stepped-Wedge Cluster-Randomised Trials.
THOMPSON, J; DAVEY, C; HAYES, R; HARGREAVES, J; FIELDING, K;
2019
The Stata Journal
Reporting of stepped wedge cluster randomised trials: extension of the CONSORT 2010 statement with explanation and elaboration.
Hemming, K; Taljaard, M; McKenzie, JE; Hooper, R; Copas, A; THOMPSON, JA; Dixon-Woods, M; Aldcroft, A; Doussau, A; Grayling, M; Kristunas, C; Goldstein, CE; Campbell, MK; Girling, A; Eldridge, S; Campbell, MJ; Lilford, RJ; Weijer, C; Forbes, AB; Grimshaw, JM;
2018
BMJ (Clinical research ed)
The optimal design of stepped wedge trials with equal allocation to sequences and a comparison to other trial designs.
THOMPSON, JA; FIELDING, K; HARGREAVES, J; Copas, A;
2017
Clinical trials (London, England)
Bias and inference from misspecified mixed-effect models in stepped wedge trial analysis.
THOMPSON, JA; FIELDING, KL; DAVEY, C; AIKEN, AM; HARGREAVES, JR; HAYES, RJ;
2017
Statistics in medicine
Assessing the efficacy of tuberculosis regimens in the presence of treatment non-adherence
Dodd, M; Fielding, K; Carpenter, J; THOMPSON, J; Elbourne, D;
2023
Union World Conference on Lung Health
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