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Dr Orlagh Carroll

Research Fellow in Health Data Science in Medical Statistics Epidemiology

United Kingdom

I completed a BA Mathematics at Trinity college, Dublin before completing a Masters in Medical Statistics at LSHTM. I completed my PhD in 2022 which focused on the handling of missing data when internally validating a prediction model.

I am a Research Fellow in Health Data Science/Medical Statistics in the department of Infectious Disease Epidemiology & International Health (IDEIH) at LSHTM. I work on projects involving infectious disease and non-communicable exposures during pregnancy and the impact on child health.

I previously worked as a Research Fellow in the Health Services Research department at LSHTM. My projects looked at the effectiveness of a treatment using observational data and trial emulation.

Affiliations

Department of Infectious Disease Epidemiology and International Health
Faculty of Epidemiology and Population Health

Teaching

I am a co-module organiser for Health Data Management on MSc Health Data Science. I act as a tutor on the MSc Medical Statistics Causal Inference and missing data module. 

I act as a tutor to MSc students and supervise summer projects. I am a co-supervisor to one PhD student.

I have previously been involved with the Distance Learning Statistics in Epidemiology module and the MSc Public Health Basic Statistics module.

Research

My interests include causal inference, prediction modelling and missing data. I currently work in maternal and child health.

 

I have previously been involved with the ESORT project which evaluates the effectiveness and cost-effectiveness of urgent versus elective surgery. I worked on the PERMIT study which looks at the effectiveness of second-line treatment on outcomes for Type 2 diabetes mellitus patients. 

My PhD focused on the handling of missing data in the covariates of prediction models when using internal validation. Previous research involved the handling of unobserved covariates in a Bayesian update of a Cost-effectiveness model during an NIHR internship at Leeds CTU.

Research Area
Statistical methods
Epidemiology
Disease and Health Conditions
Syphilis
Country
Brazil
United Kingdom

Selected Publications

O’Neill, S; BIDULKA, P; Lugo-Palacios, DG; CARROLL, O; Leiva-Escobar, I; Silverwood, R; BRIGGS, A; Adler, AI; Khunti, K; GRIEVE, R;
2025
Diabetologia
CARROLL, OU; BIDULKA, P; Basu, A; Adler, AI; O'NEILL, S; BRIGGS, AH; Lugo‐Palacios, DG; Khunti, K; GRIEVE, R;
2025
Diabetes, Obesity and Metabolism: a journal of pharmacology and therapeutics
PAIXÃO, ES; CARROLL, O; RODRIGUES, LC; De Oliveira, GL; Cardoso, AM; De Cássia Ribeiro-Silva, R; Barreto, ML; Ichihara, MY;
2025
JAMA network open
PAIXAO, ES; Cerqueira-Silva, T; Florentino, PT V; CARROLL, O; SANCHEZ CLEMENTE, N; Lawlor, DA; Ribeiro Silva, RD C; RODRIGUES, LC; SMEETH, L; Barreto, ML;
2024
Wellcome open research
Lugo-Palacios, DG; BIDULKA, P; O'Neill, S; CARROLL, O; Basu, A; Adler, A; DíazOrdaz, K; BRIGGS, A; GRIEVE, R;
2024
Health economics
PAIXAO, E; Cerqueira-Silva, T; Florentino, PT V; CARROLL, O; Sanchez Clemente, N; Lawlor, D; Ribeiro Silva, RD C; Rodrigues, LC; SMEETH, L; Barreto, M;
2024
Wellcome Open Res
BIDULKA, P; Lugo-Palacios, DG; CARROLL, O; O'NEILL, S; Adler, AI; Basu, A; Silverwood, RJ; BARTLETT, JW; NITSCH, D; Charlton, P; BRIGGS, AH; SMEETH, L; DOUGLAS, IJ; Khunti, K; GRIEVE, R;
2024
BMJ
WIEDMANN, L; Blumenau, J; CARROLL, O; CAIRNS, J;
2024
International journal of technology assessment in health care
Elliott, MR; CARROLL, O; GRIEVE, R; CARPENTER, J;
2023
Statistical methods in medical research
Rockenschaub, P; Gill, MJ; McNulty, D; CARROLL, O; Freemantle, N; Shallcross, L;
2023
PLOS digital health