Hines, O; (2023) Assumption-Lean Inference for Causal and Statistical Questions in the Era of Machine Learning. PhD thesis, London School of Hygiene & Tropical Medicine. DOI: https://doi.org/10.17037/PUBS.04670988

Hines, Oliver; Diaz-Ordaz, Karla; (2022) Oliver Hines and Karla Diaz-Ordazʼs Contribution to the Discussion of ‘Assumption-Lean Inference For Generalised Linear Model Parameters’ by Vansteelandt and Dukes. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 84 (3). pp. 709-710. ISSN 1369-7412 DOI: https://doi.org/10.1111/rssb.12524

Hines, Oliver; Dukes, Oliver; Diaz-Ordaz, Karla; Vansteelandt, Stijn; (2022) Demystifying Statistical Learning Based on Efficient Influence Functions. The American Statistician, 76 (3). pp. 292-304. ISSN 0003-1305 DOI: https://doi.org/10.1080/00031305.2021.2021984

Hines, Oliver; Diaz-Ordaz, Karla; Vansteelandt, Stijn; Jamshidi, Yalda; (2020) Causal graphs for the analysis of genetic cohort data. PHYSIOLOGICAL GENOMICS, 52 (9). pp. 369-378. ISSN 1094-8341 DOI: https://doi.org/10.1152/physiolgenomics.00115.2019