Wiedmann, Lea; Blumenau, Jack; Carroll, Orlagh; Cairns, John; (2024) Using automated text classification to explore uncertainty in NICE appraisals for drugs for rare diseases. International journal of technology assessment in health care, 40 (1). e5-. ISSN 0266-4623 DOI: https://doi.org/10.1017/S0266462323002805

Carroll, O; (2022) Strategies for imputing missing covariate values in observational data. PhD thesis, London School of Hygiene & Tropical Medicine. DOI: https://doi.org/10.17037/PUBS.04665779

Carroll, Orlagh U; Morris, Tim P; Keogh, Ruth H; (2020) How are missing data in covariates handled in observational time-to-event studies in oncology? A systematic review. BMC MEDICAL RESEARCH METHODOLOGY, 20 (1). 134-. ISSN 1471-2288 DOI: https://doi.org/10.1186/s12874-020-01018-7

Rockenschaub, Patrick; Gill, Martin J; McNulty, David; Carroll, Orlagh; Freemantle, Nick; Shallcross, Laura; (2020) Development of risk prediction models to predict urine culture growth for adults with suspected urinary tract infection in the emergency department: protocol for an electronic health record study from a single UK university hospital. Diagnostic and prognostic research, 4 (1). 15-. ISSN 2397-7523 DOI: https://doi.org/10.1186/s41512-020-00083-2

Thorpe, Benjamin; Carroll, Orlagh; Sharples, Linda; (2017) Methods for Handling Unobserved Covariates in a Bayesian Update of a Cost-effectiveness Model. Medical decision making, 38 (2). pp. 150-162. ISSN 0272-989X DOI: https://doi.org/10.1177/0272989X17736780