Prediction of the intramembranous tissue formation during perisprosthetic healing with uncertainties. Part 2. Global clinical healing due to combination of random sources
Author
Abstract
Suggested Citation
DOI: 10.1080/10255842.2016.1143465
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- S. S. Isukapalli & A. Roy & P. G. Georgopoulos, 1998. "Stochastic Response Surface Methods (SRSMs) for Uncertainty Propagation: Application to Environmental and Biological Systems," Risk Analysis, John Wiley & Sons, vol. 18(3), pages 351-363, June.
- Pascal Swider & D. Ambard & G. Guérin & Kjeld Søballe & Joan Bechtold, 2011. "Sensitivity analysis of periprosthetic healing to cell migration, growth factor and post-operative gap using a mechanobiological model," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 14(09), pages 763-771.
- R. Vayron & E. Barthel & V. Mathieu & E. Soffer & F. Anagnostou & G. Haiat, 2011. "Variation of biomechanical properties of newly formed bone tissue determined by nanoindentation as a function of healing time," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 14(S1), pages 139-140.
- Oladyshkin, S. & Nowak, W., 2012. "Data-driven uncertainty quantification using the arbitrary polynomial chaos expansion," Reliability Engineering and System Safety, Elsevier, vol. 106(C), pages 179-190.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Oladyshkin, Sergey & Nowak, Wolfgang, 2018. "Incomplete statistical information limits the utility of high-order polynomial chaos expansions," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 137-148.
- Zan Wang & Mitchell J. Small, 2016. "Statistical performance of CO 2 leakage detection using seismic travel time measurements," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 6(1), pages 55-69, February.
- James D. A. Millington & Hang Xiong & Steve Peterson & Jeremy Woods, 2017. "Integrating Modelling Approaches for Understanding Telecoupling: Global Food Trade and Local Land Use," Land, MDPI, vol. 6(3), pages 1-18, August.
- Zhai, Qingqing & Yang, Jun & Zhao, Yu, 2014. "Space-partition method for the variance-based sensitivity analysis: Optimal partition scheme and comparative study," Reliability Engineering and System Safety, Elsevier, vol. 131(C), pages 66-82.
- de Cursi, Eduardo Souza, 2021. "Uncertainty quantification in game theory," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).
- Zheng, Xiaohu & Yao, Wen & Zhang, Yunyang & Zhang, Xiaoya, 2022. "Consistency regularization-based deep polynomial chaos neural network method for reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 227(C).
- Iftikhar Ahmad & Ahsan Ayub & Uzair Ibrahim & Mansoor Khan Khattak & Manabu Kano, 2018. "Data-Based Sensing and Stochastic Analysis of Biodiesel Production Process," Energies, MDPI, vol. 12(1), pages 1-13, December.
- Oladyshkin, S. & Nowak, W., 2012. "Data-driven uncertainty quantification using the arbitrary polynomial chaos expansion," Reliability Engineering and System Safety, Elsevier, vol. 106(C), pages 179-190.
- Shengwen Yin & Keliang Jin & Yu Bai & Wei Zhou & Zhonggang Wang, 2023. "Solution-Space-Reduction-Based Evidence Theory Method for Stiffness Evaluation of Air Springs with Epistemic Uncertainty," Mathematics, MDPI, vol. 11(5), pages 1-19, March.
- Luca Di Persio & Michele Bonollo & Gregorio Pellegrini, 2015. "A computational spectral approach to interest rate models," Papers 1508.06236, arXiv.org.
- Panos G. Georgopoulos & Christopher J. Brinkerhoff & Sastry Isukapalli & Michael Dellarco & Philip J. Landrigan & Paul J. Lioy, 2014. "A Tiered Framework for Risk‐Relevant Characterization and Ranking of Chemical Exposures: Applications to the National Children's Study (NCS)," Risk Analysis, John Wiley & Sons, vol. 34(7), pages 1299-1316, July.
- Pepiciello, Antonio & Domínguez-García, José Luis, 2024. "Small-signal stability analysis of uncertain power systems: A comprehensive survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 200(C).
- Guan, Xuefei, 2024. "Sparse moment quadrature for uncertainty modeling and quantification," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
- Papi, Francesco & Balduzzi, Francesco & Ferrara, Giovanni & Bianchini, Alessandro, 2021. "Uncertainty quantification on the effects of rain-induced erosion on annual energy production and performance of a Multi-MW wind turbine," Renewable Energy, Elsevier, vol. 165(P1), pages 701-715.
- Olivares, Alberto & Staffetti, Ernesto, 2021. "Uncertainty quantification of a mathematical model of COVID-19 transmission dynamics with mass vaccination strategy," Chaos, Solitons & Fractals, Elsevier, vol. 146(C).
- Allaire, Douglas & Noel, George & Willcox, Karen & Cointin, Rebecca, 2014. "Uncertainty quantification of an Aviation Environmental Toolsuite," Reliability Engineering and System Safety, Elsevier, vol. 126(C), pages 14-24.
- Yao, Wen & Zheng, Xiaohu & Zhang, Jun & Wang, Ning & Tang, Guijian, 2023. "Deep adaptive arbitrary polynomial chaos expansion: A mini-data-driven semi-supervised method for uncertainty quantification," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
- Francesco Papi & Lorenzo Cappugi & Simone Salvadori & Mauro Carnevale & Alessandro Bianchini, 2020. "Uncertainty Quantification of the Effects of Blade Damage on the Actual Energy Production of Modern Wind Turbines," Energies, MDPI, vol. 13(15), pages 1-18, July.
- Xiao, Sinan & Praditia, Timothy & Oladyshkin, Sergey & Nowak, Wolfgang, 2021. "Global sensitivity analysis of a CaO/Ca(OH)2 thermochemical energy storage model for parametric effect analysis," Applied Energy, Elsevier, vol. 285(C).
- Thapa, Mishal & Missoum, Samy, 2022. "Uncertainty quantification and global sensitivity analysis of composite wind turbine blades," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:gcmbxx:v:19:y:2016:i:13:p:1387-1394. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/gcmb .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.