Rudolph, K. E., & Díaz, I. (2022). When the Ends do not Justify the Means: Learning Who is Predicted to Have Harmful Indirect Effects. Journal of the Royal Statistical Society Series A: Statistics in Society, 185(Supplement_2), S573–S589. https://doi.org/10.1111/rssa.12951

Williams, N., Rosenblum, M., & Díaz, I. (2022). Optimising Precision and Power by Machine Learning in Randomised Trials with Ordinal and Time-to-Event Outcomes with an Application to COVID-19. Journal of the Royal Statistical Society Series A: Statistics in Society, 185(4), 2156–2178. https://doi.org/10.1111/rssa.12915