Summary
Ellie is currently an NHIR Doctoral Fellow at the Imperial clinical Trials Unit (ICTU). Their work focuses on the use of machine learning methods for discovering treatment effect heterogeneity in trials.
Ellie joined ICTU in July 2019 as an NIHR Research Methods Summer Intern until September 2019. Through the summer of 2020 they worked as the systematic review coordinator for the SCiPAD study before starting their Pre-doctoral Fellowship in October 2020. The first year of their fellowship was used to complete an MSc in Health Data Analytics and Machine Learning, during the second year the research causal machine learning methods for modelling conditional average treatment effects in trials. Since the end of their fellowship Ellie has worked on a similar project with the Alan Turing Institute and the MRC Clinical Trials Unit at University College London, and worked as a network meta-analysis statistician on topical treatments for Eczema at Imperial.
Publications
Journals
Kelleher MM, Phillips R, Brown SJ, et al. , 2022, Skin care interventions in infants for preventing eczema and food allergy., Cochrane Database of Systematic Reviews, Vol:11, ISSN:1469-493X, Pages:1-177
Van Vogt E, Cro S, Cornelius VR, et al. , 2021, Individual participant data meta-analysis versus aggregate data meta-analysis: a case study in eczema and food allergy prevention., Clinical and Experimental Allergy, Vol:52, ISSN:0954-7894
Tan P-T, Cro S, Van Vogt E, et al. , 2021, A review of the use of controlled multiple imputation in randomised controlled trials with missing outcome data, Bmc Medical Research Methodology, Vol:21, ISSN:1471-2288
Kelleher MM, Cro S, Van Vogt E, et al. , 2021, Skincare interventions in infants for preventing eczema and food allergy: A cochrane systematic review and individual participant data meta-analysis, Clinical and Experimental Allergy, Vol:51, ISSN:0954-7894, Pages:402-418
Kelleher MM, Cro S, Cornelius V, et al. , 2021, Skin care interventions in infants for preventing eczema and food allergy., Cochrane Database of Systematic Reviews, Vol:2021, ISSN:1469-493X, Pages:1-165