Dr Katy Morgan


Assistant Professor
in Medical Statistics

Keppel Street
United Kingdom

One of my main research interests is in the statistical methodology of clinical trials. I hold a MRC Skills Development Fellowship, during which I will be looking at ways of improving the statistical efficiency of randomised controlled trials through their design, focusing on trials that look for a difference in slopes over time and series of N-of-1 trials.

I studied Natural Sciences at the University of Cambridge, and completed a PhD in particle physics at Durham University. I then retrained as a medical statistician through an NIHR research methods fellowship. As part of the fellowship I obtained an MSc in Medical Statistics from LSHTM and worked at the Pragmatic Clinical Trials Unit, Queen Mary University of London. I joined the School as a research fellow in 2014.


Faculty of Epidemiology and Population Health
Department of Medical Statistics


Centre for Statistical Methodology


I give lectures on the Frequentist Statistical Inference module of the Medical Statistics MSc. I also help in various practical sessions including those for Robust Methods.


Research Area
Clinical trials
Statistical methods

Selected Publications

The association between anthropometric measures of adiposity and the progression of carotid atherosclerosis.
Imahori Y; Mathiesen EB; Morgan KE; Frost C; Hughes AD; Hopstock LA; Johnsen SH; Emaus N; Leon DA
BMC Cardiovascular Disorders
Know Your Heart: Rationale, design and conduct of a cross-sectional study of cardiovascular structure, function and risk factors in 4500 men and women aged 35-69 years from two Russian cities, 2015-18.
Cook S; Malyutina S; Kudryavtsev AV; Averina M; Bobrova N; Boytsov S; Brage S; Clark TG; Diez Benavente E; Eggen AE
Wellcome Open Research
A pedometer-based walking intervention in 45- to 75-year-olds, with and without practice nurse support: the PACE-UP three-arm cluster RCT.
Harris T; Kerry S; Victor C; Iliffe S; Ussher M; Fox-Rushby J; Whincup P; Ekelund U; Furness C; Limb E
Health technology assessment
Quality of stepped-wedge trial reporting can be reliably assessed using an updated CONSORT: crowd-sourcing systematic review.
Hemming K; Carroll K; Thompson J; Forbes A; Taljaard M; SW-CRT Review Group
Journal of Clinical Epidemiology
The contribution of obesity to carotid atherosclerotic plaque burden in a general population sample in Norway: The Tromsø Study.
Imahori Y; Mathiesen EB; Leon DA; Hopstock LA; Hughes AD; Johnsen SH; Jørgensen L; Emaus N; Morgan KE
Interpreting population reach of a large, successful physical activity trial delivered through primary care.
Kerry SM; Morgan KE; Limb E; Cook DG; Furness C; Carey I; DeWilde S; Victor CR; Iliffe S; Whincup P
BMC public health
Increasing the Availability of Psychological Treatments: A Multinational Study of a Scalable Method for Training Therapists.
O'Connor M; Morgan KE; Bailey-Straebler S; Fairburn CG; Cooper Z
Journal of medical Internet research
Using the Internet to Train Therapists: Randomized Comparison of Two Scalable Methods.
Cooper Z; Bailey-Straebler S; Morgan KE; O'Connor ME; Caddy C; Hamadi L; Fairburn CG
Journal of medical Internet research
Cluster randomized trials with a small number of clusters: which analyses should be used?
Leyrat C; Morgan KE; Leurent B; Kahan BC
International journal of epidemiology
Choosing appropriate analysis methods for cluster randomised cross-over trials with a binary outcome.
Morgan KE; Forbes AB; Keogh RH; Jairath V; Kahan BC
Statistics in medicine
Appropriate statistical methods were infrequently used in cluster-randomized crossover trials.
Arnup SJ; Forbes AB; Kahan BC; Morgan KE; McKenzie JE
Journal of clinical epidemiology
The use of the cluster randomized crossover design in clinical trials: protocol for a systematic review.
Arnup SJ; Forbes AB; Kahan BC; Morgan KE; McDonald S; McKenzie JE
Systematic reviews
See more Publications