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	Task reliability index for operator performance and failure probability assessment in control room simulators Porthin, M., Podofillini, L., & Dang, V. N. (2024). Task reliability index for operator performance and failure probability assessment in control room simulators. Reliability Engineering and System Safety, 251, 110390 (15 pp.). https://doi.org/10.1016/j.ress.2024.110390 Detailed Record Published Version
	A Bayesian two-stage approach to integrate simulator data and expert judgment in human error probability estimation Greco, S. F., Podofillini, L., & Dang, V. N. (2023). A Bayesian two-stage approach to integrate simulator data and expert judgment in human error probability estimation. Safety Science, 159, 106009 (19 pp.). https://doi.org/10.1016/j.ssci.2022.106009 Detailed Record Published Version
	A Bayesian model to treat within-category and crew-to-crew variability in simulator data for Human Reliability Analysis Greco, S. F., Podofillini, L., & Dang, V. N. (2021). A Bayesian model to treat within-category and crew-to-crew variability in simulator data for Human Reliability Analysis. Reliability Engineering and System Safety, 206, 107309 (19 pp.). https://doi.org/10.1016/j.ress.2020.107309 Detailed Record Published Version
	Crew performance variability in human error probability quantification: a methodology based on behavioral patterns from simulator data Greco, S. F., Podofillini, L., & Dang, V. N. (2021). Crew performance variability in human error probability quantification: a methodology based on behavioral patterns from simulator data. Proceedings of the Institution of Mechanical Engineers, Part O: Journal or Risk and Reliability, 235(4), 637-659. https://doi.org/10.1177/1748006X20986743 Detailed Record Published Version Accepted Version
	Crew performance variability in simulator data for human reliability analysis: investigation of modelling options Greco, S. F., Podofillini, L., & Dang, V. N. (2020). Crew performance variability in simulator data for human reliability analysis: investigation of modelling options. In M. Beer & E. Zio (Eds.), Proceedings of the 29th European safety and reliability conference (ESREL) (pp. 240-247). https://doi.org/10.3850/978-981-11-2724-3_0722-cd Detailed Record Published Version
	Quantitative results of the HRA Empirical Study and the role of quantitative data in benchmarking Dang, V. N., Massaiu, S., Bye, A., & Forester, J. A. (2010). Quantitative results of the HRA Empirical Study and the role of quantitative data in benchmarking. In Vol. 2. 10th international conference on probabilistic safety assessment & management, PSAM10 (pp. 1251-1263). Detailed Record
	Results from a pilot benchmarking study of HRA methods - a comparison of method predictions against the outcomes observed in the simulator study Dang, V. N., Forester, J. A., Bye, A., Lois, E., Broberg, H., Parry, G. W., & Julius, J. A. (2008). Results from a pilot benchmarking study of HRA methods - a comparison of method predictions against the outcomes observed in the simulator study. In T. M. Kao, E. Zio, & V. Ho (Eds.), 9th international conference on probabilistic safety assessment and management 2008, PSAM 2008: Vol. 2. Proceedings of the ninth international conference on probabilistic safety assessment and management 2008, PSAM 2008 (p. (9 pp.). sine nomine. Detailed Record Published Version