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Dr Katy Morgan

MA MSci PhD MSc

Research Fellow
in Medical Statistics

LSHTM
Keppel Street
London
WC1E 7HT
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.

Affiliations

Department of Medical Statistics
Faculty of Epidemiology and Population Health

Centres

Statistical Methodology

Teaching

I give lectures on the Frequentist Statistical Inference module of the Medical Statistics MSc. I also help in various practical sessions including those for Statistical Computing (Stata).

Research

Research Area
Clinical trials
Statistical methods
Methodology
Discipline
Statistics

Selected Publications

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
2018
Atherosclerosis
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
2018
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
2018
Journal of medical Internet research
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 A; Averina M; Bobrova N; Boytsov S; Brage S; Clark T; Diez Benavente E; Eggen AE
2018
Wellcome Open Research
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; Dutton SJ; Madurasinghe V; Morgan K; Stuart B; Fielding K
2018
Journal of Clinical Epidemiology
Cluster randomized trials with a small number of clusters: which analyses should be used?
Leyrat C; Morgan KE; Leurent B; Kahan BC
2017
International journal of epidemiology
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
2017
Journal of medical Internet research
Choosing appropriate analysis methods for cluster randomised cross-over trials with a binary outcome.
Morgan KE; Forbes AB; Keogh RH; Jairath V; Kahan BC
2016
Statistics in medicine
Appropriate statistical methods were infrequently used in cluster randomised crossover trials.
Arnup SJ; Forbes AB; Kahan BC; Morgan KE; McKenzie JE
2015
Journal of clinical epidemiology
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