Dr Jennifer Thompson

Assistant Professor

United Kingdom

Email
Jennifer

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

Cluster randomised trials with a binary outcome and a small number of clusters: comparison of individual and cluster level analysis method.

THOMPSON, JA; LEYRAT, C; FIELDING, KL; HAYES, RJ;

2022

BMC Medical Research Methodology

Better Evidence for Programmatic Approaches to Routine Syphilis Testing Among Men Living With Human Immunodeficiency Virus: Does a Stepped Wedge Trial Provide the Answer?

THOMPSON, JA; FRANCIS, SC;

2021

Clinical Infectious Diseases

Comparison of small-sample standard-error corrections for generalised estimating equations in stepped wedge cluster randomised trials with a binary outcome: A simulation study.

THOMPSON, JA; Hemming, K; Forbes, A; FIELDING, K; HAYES, R;

2020

Statistical Methods in Medical Research

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 efficacy in non-inferiority trials with non-adherence to interventions: Are intention-to-treat and per-protocol analyses fit for purpose?

DODD, M; CARPENTER, J; THOMPSON, JA; WILLIAMSON, E; FIELDING, K; ELBOURNE, D;

2024