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Dr Melanie Smuk

BSc MSc PhD

Assistant Professor
Program Director of Health Data Science

Room
G38A

LSHTM
Keppel Street
London
WC1E 7HT
United Kingdom

After gaining a Bachelor of Science in Mathematics, Melanie studied a Masters in Statistics at University College London. Her previous experience of working full time for over a year as a biostatistical programmer at biotechnology company (Amgen), coupled with the inspiration from the Master course encouraged Melanie to continue in statistical research. Melanie completed a PhD in missing data methodology at the London School of Hygiene and Tropical Medicine (LSHTM).

Following her PhD, Melanie moved to Queen Mary University of London (QMUL) to work as a research fellow in medical statistics within the Centre for Psychiatry. She left QMUL to work as senior statistician within the National Centre for Social Research (NatCen), however returned to QMUL in June 2017 as a lecturer in Medical Statistics within the Pragmatic Clinical Trials Unit (PCTU). 

In March 2020, Melanie re-joined (LSHTM) as an Assistant Professor of Health Data Science to take up the role of program director for the MSc in Health Data Science and to continue her research into data science methodology. 

Affiliations

Faculty of Epidemiology and Population Health
Department of Medical Statistics

Teaching

Melanie is the program director for the MSc in Health Data Science.

Research

Current research areas include: Health Data Science, Missing Data, Clinical Trials Methodology.

Research Area
Clinical trials
Statistical methods
Bayesian Analysis
Methodology
Randomised controlled trials
Modelling
Discipline
Mathematics
Mathematical modelling
Statistics
Region
World

Selected Publications

External validation of prognostic models to predict stillbirth using the International Prediction of Pregnancy Complications (
IPPIC
) Network database: an individual participant data meta‐analysis
Allotey J; Whittle R; Snell KIE; Smuk M; Townsend R; Dadelszen P; Heazell AEP; Magee L; Smith GCS; Sandall J
2021
Ultrasound in Obstetrics & Gynecology
Missing data: A statistical framework for practice.
Carpenter JR; Smuk M
2021
Biometrical journal. Biometrische Zeitschrift
Paradata analyses to inform population-based survey capture of pregnancy outcomes: EN-INDEPTH study.
Gordeev VS; Akuze J; Baschieri A; Thysen SM; Dzabeng F; Haider MM; Smuk M; Wild M; Lokshin MM; Yitayew TA
2021
Population health metrics
Using recorded mental health recovery narratives as a resource for others: Narrative Experiences Online (NEON) intervention development
Slade M; Rennick-Egglestone S; Llewellyn-Beardsley J; Yeo C; Roe J; Bailey S; Smith R; Booth S; Harrison J; Bhogal A
2021
JMIR Formative Research
Recorded Mental Health Recovery Narratives as a Resource for People Affected by Mental Health Problems: Development of the Narrative Experiences Online (NEON) Intervention.
Slade M; Rennick-Egglestone S; Llewellyn-Beardsley J; Yeo C; Roe J; Bailey S; Smith RA; Booth S; Harrison J; Bhogal A
2021
JMIR formative research
Road traffic noise, noise sensitivity, noise annoyance, psychological and physical health and mortality.
Stansfeld S; Clark C; Smuk M; Gallacher J; Babisch W
2021
Environmental health : a global access science source
Validation and development of models using clinical, biochemical and ultrasound markers for predicting pre-eclampsia: an individual participant data meta-analysis.
Allotey J; Snell KI; Smuk M; Hooper R; Chan CL; Ahmed A; Chappell LC; von Dadelszen P; Dodds J; Green M
2020
Health technology assessment (Winchester, England)
See more Publications