Marzyeh Ghassemi, Tristan Naumann, Peter Schulam, Andrew L Beam, Irene Y Chen, and Rajesh Ranganath. A review of challenges and opportunities in machine learning for health. AMIA Summits on Translational Science Proceedings, 2020:191, 2020.
Clive WJ Granger. Investigating causal relations by econometric models and cross-spectral methods. *Econometrica: Journal of the Econometric Society*, pages 424-438, 1969.
James Hensman, Alexander G. de G. Matthews, and Zoubin Ghahramani. Scalable variational Gaussian process classification. In Artificial Intelligence and Statistics (AISTATS), 2015.
Çaglihar Hizli, S. T. John, Anne Tuulikki Juuti, Tuure Tapani Saarinen, Kirsi Hannele Pietiläinen, and Pekka Marttinen. Causal modeling of policy interventions from treatment-outcome sequences. In International Conference on Machine Learning (ICML), 2023.
Kosuke Imai, Luke Keele, and Dustin Tingley. A general approach to causal mediation analysis. Psychological Methods, 15(4):309, 2010a.
Kosuke Imai, Luke Keele, and Teppei Yamamoto. Identification, inference and sensitivity analysis for causal mediation effects. Statistical Science, 25(1):51 - 71, 2010b.
Siv H Jacobsen, Kirstine N Bojsen-Møller, Carsten Dirksen, Nils B Jørgensen, Trine R Clausen, Birgitte S Wulff, Viggo B Kristiansen, Dorte Worm, Dorte L Hansen, Jens J Holst, et al. Effects of gastric bypass surgery on glucose absorption and metabolism during a mixed meal in glucosetolerant individuals. Diabetologia, 56:2250-2254, 2013.
Blandine Laferrère and François Pattou. Weight-independent mechanisms of glucose control after Roux-en-Y gastric bypass. Frontiers in Endocrinology, 9:530, 2018.
Blandine Laferrère, Julio Teixeira, James McGinty, Hao Tran, Joseph R. Egger, Antonia Colarusso, Betty Kovack, Baani Bawa, Ninan Koshy, Hongchan Lee, Kimberly Yapp, and Blanca Olivan. Effect of weight loss by gastric bypass surgery versus hypocaloric diet on glucose and incretin levels in patients with type 2 diabetes. The Journal of Clinical Endocrinology & Metabolism, 93 (7):2479-2485, 2008.
Clare J Lee, G Craig Wood, Mariana Lazo, Todd T Brown, Jeanne M Clark, Christopher Still, and Peter Benotti. Risk of post-gastric bypass surgery hypoglycemia in nondiabetic individuals: a single center experience. Obesity, 24(6):1342-1348, 2016.
Sheng-Hsuan Lin, Jessica Young, Roger Logan, Eric J Tchetgen Tchetgen, and Tyler J VanderWeele. Parametric mediational g-formula approach to mediation analysis with time-varying exposures, mediators, and confounders. Epidemiology, 28(2):266, 2017.
Siqi Liu and Milos Hauskrecht. Nonparametric regressive point processes based on conditional Gaussian processes. In Advances in Neural Information Processing Systems (NeurIPS), 2019.
Chris Lloyd, Tom Gunter, Michael Osborne, and Stephen Roberts. Variational inference for Gaussian process modulated Poisson processes. In International Conference on Machine Learning (ICML), 2015.
Alexander G de G Matthews, Mark Van Der Wilk, Tom Nickson, Keisuke Fujii, Alexis Boukouvalas, Pablo León-Villagrá, Zoubin Ghahramani, and James Hensman. GPflow: A Gaussian process library using TensorFlow. The Journal of Machine Learning Research, 18(40):1-6, 2017.
Kimia Noorbakhsh and Manuel Rodriguez. Counterfactual temporal point processes. Advances in Neural Information Processing Systems, 35:24810-24823, 2022.
Judea Pearl. Direct and indirect effects. In Uncertainty in Artificial Intelligence (UAI), 2001.
Judea Pearl. Causality. Cambridge University Press, 2009.
Judea Pearl. Interpretation and identification of causal mediation. Psychological methods, 19(4):459, 2014.
Jonas Peters, Dominik Janzing, and Bernhard Schölkopf. Elements of causal inference: foundations and learning algorithms. The MIT Press, 2017.