128 related articles for article (PubMed ID: 36958984)
1. Data-driven predictive modeling in risk assessment: Challenges and directions for proper uncertainty representation.
Stødle K; Flage R; Guikema SD; Aven T
Risk Anal; 2023 Dec; 43(12):2644-2658. PubMed ID: 36958984
[TBL] [Abstract][Full Text] [Related]
2. A Risk Assessment Perspective of Current Practice in Characterizing Uncertainties in QSAR Regression Predictions.
Sahlin U; Filipsson M; Öberg T
Mol Inform; 2011 Jun; 30(6-7):551-64. PubMed ID: 27467156
[TBL] [Abstract][Full Text] [Related]
3. "This Is What We Don't Know": Treating Epistemic Uncertainty in Bayesian Networks for Risk Assessment.
Sahlin U; Helle I; Perepolkin D
Integr Environ Assess Manag; 2021 Jan; 17(1):221-232. PubMed ID: 33151017
[TBL] [Abstract][Full Text] [Related]
4. Assessment and statistical modeling of the relationship between remotely sensed aerosol optical depth and PM2.5 in the eastern United States.
Paciorek CJ; Liu Y;
Res Rep Health Eff Inst; 2012 May; (167):5-83; discussion 85-91. PubMed ID: 22838153
[TBL] [Abstract][Full Text] [Related]
5. Part 2. Development of Enhanced Statistical Methods for Assessing Health Effects Associated with an Unknown Number of Major Sources of Multiple Air Pollutants.
Park ES; Symanski E; Han D; Spiegelman C
Res Rep Health Eff Inst; 2015 Jun; (183 Pt 1-2):51-113. PubMed ID: 26333239
[TBL] [Abstract][Full Text] [Related]
6. The future of Cochrane Neonatal.
Soll RF; Ovelman C; McGuire W
Early Hum Dev; 2020 Nov; 150():105191. PubMed ID: 33036834
[TBL] [Abstract][Full Text] [Related]
7. Sequential Refined Partitioning for Probabilistic Dependence Assessment.
Werner C; Bedford T; Quigley J
Risk Anal; 2018 Dec; 38(12):2683-2702. PubMed ID: 30089193
[TBL] [Abstract][Full Text] [Related]
8. A suggestion for the quantification of precise and bounded probability to quantify epistemic uncertainty in scientific assessments.
Raices Cruz I; Troffaes MCM; Sahlin U
Risk Anal; 2022 Feb; 42(2):239-253. PubMed ID: 35007348
[TBL] [Abstract][Full Text] [Related]
9. Probability and possibility-based representations of uncertainty in fault tree analysis.
Flage R; Baraldi P; Zio E; Aven T
Risk Anal; 2013 Jan; 33(1):121-33. PubMed ID: 22831561
[TBL] [Abstract][Full Text] [Related]
10. Addressing and reducing parameter uncertainty in quantitative microbial risk assessment by incorporating external information via Bayesian hierarchical modeling.
Seis W; Rouault P; Medema G
Water Res; 2020 Oct; 185():116202. PubMed ID: 32738602
[TBL] [Abstract][Full Text] [Related]
11. A Critical Discussion and Practical Recommendations on Some Issues Relevant to the Nonprobabilistic Treatment of Uncertainty in Engineering Risk Assessment.
Pedroni N; Zio E; Pasanisi A; Couplet M
Risk Anal; 2017 Jul; 37(7):1315-1340. PubMed ID: 28095591
[TBL] [Abstract][Full Text] [Related]
12. Epistemic uncertainty in the ranking and categorization of probabilistic safety assessment model elements: issues and findings.
Borgonovo E
Risk Anal; 2008 Aug; 28(4):983-1001. PubMed ID: 18554270
[TBL] [Abstract][Full Text] [Related]
13. Causal evidence in health decision making: methodological approaches of causal inference and health decision science.
Kühne F; Schomaker M; Stojkov I; Jahn B; Conrads-Frank A; Siebert S; Sroczynski G; Puntscher S; Schmid D; Schnell-Inderst P; Siebert U
Ger Med Sci; 2022; 20():Doc12. PubMed ID: 36742460
[TBL] [Abstract][Full Text] [Related]
14. Hotspots of uncertainty in land-use and land-cover change projections: a global-scale model comparison.
Prestele R; Alexander P; Rounsevell MD; Arneth A; Calvin K; Doelman J; Eitelberg DA; Engström K; Fujimori S; Hasegawa T; Havlik P; Humpenöder F; Jain AK; Krisztin T; Kyle P; Meiyappan P; Popp A; Sands RD; Schaldach R; Schüngel J; Stehfest E; Tabeau A; Van Meijl H; Van Vliet J; Verburg PH
Glob Chang Biol; 2016 Dec; 22(12):3967-3983. PubMed ID: 27135635
[TBL] [Abstract][Full Text] [Related]
15. Values and uncertainties in the predictions of global climate models.
Winsberg E
Kennedy Inst Ethics J; 2012 Jun; 22(2):111-37. PubMed ID: 23002580
[TBL] [Abstract][Full Text] [Related]
16. Uncertainty in QSAR predictions.
Sahlin U
Altern Lab Anim; 2013 Mar; 41(1):111-25. PubMed ID: 23614548
[TBL] [Abstract][Full Text] [Related]
17. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
[TBL] [Abstract][Full Text] [Related]
18. An evaluation of the treatment of risk and uncertainties in the IPCC reports on climate change.
Aven T; Renn O
Risk Anal; 2015 Apr; 35(4):701-12. PubMed ID: 25443439
[TBL] [Abstract][Full Text] [Related]
19. ASAS-NANP symposium: mathematical modeling in animal nutrition: the progression of data analytics and artificial intelligence in support of sustainable development in animal science.
Tedeschi LO
J Anim Sci; 2022 Jun; 100(6):. PubMed ID: 35412610
[TBL] [Abstract][Full Text] [Related]
20. Using Uncertainty Analysis to Improve Consistency in Regulatory Assessments of Criteria Pollutant Standards.
Smith AE
Risk Anal; 2020 Mar; 40(3):442-449. PubMed ID: 31647131
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
