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Results: 7
Number of items: 7
  • Open Access
    van Geloven, N., Keogh, R. H., van Amsterdam, W., Cinà, G., Krijthe, J. H., Peek, N., Luijken, K., Magliacane, S., Morzywołek, P., van Ommen, T., Putter, H., Sperrin, M., Wang, J., Weir, D. L., & Didelez, V. (2025). The Risks of Risk Assessment: Causal Blind Spots When Using Prediction Models for Treatment Decisions. Annals of Internal Medicine, 178(9), 1326-1333. https://doi.org/10.7326/ANNALS-24-00279
  • Open Access
    Luijken, K., Morzywołek, P., van Amsterdam, W., Cinà, G., Hoogland, J., Keogh, R., Krijthe, J. H., Magliacane, S., van Ommen, T., Peek, N., Putter, H., van Smeden, M., Sperrin, M., Wang, J., Weir, D. L., Didelez, V., & van Geloven, N. (2024). Risk‐Based Decision Making: Estimands for Sequential Prediction Under Interventions. Biometrical Journal, 66(8), Article e70011. https://doi.org/10.1002/bimj.70011
  • Open Access
    Magliacane, S., van Ommen, T., Claassen, T., Bongers, S., Versteeg, P., & Mooij, J. M. (2019). Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions. In S. Bengio, H. Wallach, H. Larochelle, K. Grauman, N. Cesa-Bianchi, & R. Garnett (Eds.), 32nd Conference on Neural Information Processing Systems 2018: Montreal, Canada, 3-8 December 2018 (Vol. 15, pp. 10846-10856). (Advances in Neural Information Processing Systems; Vol. 31). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper/8282-domain-adaptation-by-using-causal-inference-to-predict-invariant-conditional-distributions
  • Open Access
    van Ommen, T. (2017). Computing Minimax Decisions with Incomplete Observations. Proceedings of Machine Learning Research, 62, 358-369. http://proceedings.mlr.press/v62/van-ommen17a.html
  • Open Access
    Grünwald, P., & van Ommen, T. (2017). Inconsistency of Bayesian Inference for Misspecified Linear Models, and a Proposal for Repairing It. Bayesian Analysis, 12(4), 1069-1103. https://doi.org/10.1214/17-BA1085, https://doi.org/10.1214/17-BA1085SUPP
  • Open Access
    van Ommen, T., & Mooij, J. M. (2017). Algebraic Equivalence of Linear Structural Equation Models. In G. Elidan, & K. Kersting (Eds.), Uncertainty in Artificial Intelligence: proceedings of the Thirty-Third Conference (2017) : 11-15 August 2017, Sydney, Australia Article 277 AUAI Press. http://auai.org/uai2017/proceedings/papers/277.pdf
  • Open Access
    van Ommen, T., Koolen, W. M., Feenstra, T. E., & Grünwald, P. D. (2016). Robust probability updating. International Journal of Approximate Reasoning, 74, 30-57. https://doi.org/10.1016/j.ijar.2016.03.001
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