Abstract
Lack of patient-specific data makes deterministic modeling of bone mechanical properties unreliable. The stochastic multiscale approach proposed in this paper allows estimating bone mechanical properties based on a few available data while preserving robustness of modeling. Statistical indicators (such as the dispersion or the confidence interval) can provide useful information on the reliability of the numerical results.
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