By Jaroslava Wendlova

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Title: Biomechanical Variables in evaluate of Fracture Risk
Author: Wendlova, Jaroslava (EDT)
Publisher: Nova technological know-how Pub Inc
Publication Date: 2012/02/29
Number of Pages: 143
Binding sort: PAPERBACK
Library of Congress: 2011020240

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Extra info for Biomechanical Variables in Assessment of Fracture Risk

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Slemenda CW. et al: Do variations in hip geometry explain differences in hip fracture risk between Japanese and white Americans? J. Bone Miner Res. 1994; 9(7): 1071-76. Varga S: Robust Estimations in Classical Regression Models Versus Robust Estimations in Fuzzy Regression Models. Kybernetika 2007; 43(4): 503-8. Hosmer DW. : Applied logistic regression. , 120–135, 2000, ISBN: 0471356328 Varga S: Another View on the Fuzzy Regression. Forum Statisticum Slovacum 2009; 10(3): 1–7. Kanis JA. Johnell O.

5 SD. Table 2. 51 Sample: n = 3,215. 22 Expected Frequency of Femoral Neck Fractures … 29 DISCUSSION The study proves a statistically significant reduction of CSA and CSMI of femoral neck with aging. This reduction is not so significant for FSI, because the value of FSI is dependent also on the values of geometrical variables of proximal femur, which can be biomechanically favourable or biomechanically unfavourable. The values of geometrical variables of proximal femur are born with and not dependent on aging.

Nakamura T. Turner CH. Yoshikawa T. Slemenda CW. et al: Do variations in hip geometry explain differences in hip fracture risk between Japanese and white Americans? J. Bone Miner Res. 1994; 9(7): 1071-76. Varga S: Robust Estimations in Classical Regression Models Versus Robust Estimations in Fuzzy Regression Models. Kybernetika 2007; 43(4): 503-8. Hosmer DW. : Applied logistic regression. , 120–135, 2000, ISBN: 0471356328 Varga S: Another View on the Fuzzy Regression. Forum Statisticum Slovacum 2009; 10(3): 1–7.

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