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Dr Manuela Quaresma

PhD

Research Fellow
in Statistics

Room
Room 253

LSHTM
Keppel Street
London
WC1E 7HT
United Kingdom

Tel.
+44 (0) 20 7927 2123

I am a graduate from the University of Lisbon (Portugal) where I trained in Applied Mathematics, with a specialisation in Probability and Statistics. After my graduation, I worked for five years at the Southern Portuguese Cancer Registry, where I was responsible for the data management and analysis of the cancer registration data. Since joining the school, I am based at the Non-Communicable Disease Epidemiology Department (Faculty of Epidemiology and Population Health), where I completed my part-time staff PhD on the estimation of population-based cancer survival at small area, supervised by Professor Bernard Rachet and Professor James Carpenter.

Affiliations

Department of Non-communicable Disease Epidemiology
Faculty of Epidemiology and Population Health

Teaching

I am currently the co-organiser of the module “Introduction to Statistical Computing” for the MSc in Medical Statistics. I also teach on the module “Introduction to Survival Analysis” for the MSc in Medical Statistics. I have been a regular teacher on the annual short course “Cancer Survival: Principles, Methods and Applications” at the school.

Research

My main research interests include modelling cancer survival data at the small area level and the development of methodology and tools for the presentation of cancer survival outcomes.

Research Area
Health inequalities
Health outcomes
Statistical methods
Bayesian Analysis
Geographic Information Systems (GIS)
Spatial analysis
Modelling
Discipline
Epidemiology
Statistics
Disease and Health Conditions
Cancer
Country
United Kingdom

Selected Publications

Breast cancer survival and survival gap apportionment in sub-Saharan Africa (ABC-DO): a prospective cohort study.
McCormack V; McKenzie F; Foerster M; Zietsman A; Galukande M; Adisa C; Anele A; Parham G; Pinder LF; Cubasch H
2020
The Lancet. Global health
Flexible Bayesian excess hazard models using low-rank thin plate splines.
Quaresma M; Carpenter J; Rachet B
2019
Statistical methods in medical research
Association between age, deprivation and specific comorbid conditions and the receipt of major surgery in patients with non-small cell lung cancer in England: A population-based study.
Belot A; Fowler H; Njagi EN; Luque-Fernandez M-A; Maringe C; Magadi W; Exarchakou A; Quaresma M; Turculet A; Peake MD
2018
Thorax
Persistent inequalities in 90-day colon cancer mortality: an English cohort study.
Fowler H; Belot A; Njagi EN; Luque-Fernandez MA; Maringe C; Quaresma M; Kajiwara M; Rachet B
2017
British journal of cancer
Adjusting for overdispersion in piecewise exponential regression models to estimate excess mortality rate in population-based research.
Luque-Fernandez MA; Belot A; Quaresma M; Maringe C; Coleman MP; Rachet B
2016
BMC medical research methodology
Do cancer survival statistics for every hospital make sense?
Morris M; Quaresma M; Pitkäniemi J; Morris E; Rachet B; Coleman MP
2016
The lancet oncology
Is cancer survival associated with cancer symptom awareness and barriers to seeking medical help in England? An ecological study.
Niksic M; Rachet B; Duffy SW; Quaresma M; Møller H; Forbes LJ
2016
British journal of cancer
Inequalities in non-small cell lung cancer treatment and mortality.
Nur U; Quaresma M; De Stavola B; Peake M; Rachet B
2015
Journal of epidemiology and community health
See more Publications