Download Biomechanical Variables in Assessment of Fracture Risk by Jaroslava Wendlova PDF

By Jaroslava Wendlova

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Title: Biomechanical Variables in evaluation of Fracture Risk
Author: Wendlova, Jaroslava (EDT)
Publisher: Nova technology Pub Inc
Publication Date: 2012/02/29
Number of Pages: 143
Binding variety: PAPERBACK
Library of Congress: 2011020240

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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. Oden A. Johansson H.

Johansson H. : FRAXTM and the assessment of fracture probability in men and women from UK. Osteoporos Int. 2008; 19(4): 385–97. Fujiwara S. Nakamura T. Orimo H. Hosoi T. Gorai I. et al: Development and application of a Japanese model of the WHO fracture risk assessment tool (FRAXTM) Osteoporos Int. 2008; 19(4): 429–35. Slovak Logistic Regression Predictive Model … 17 [17] Siris E. Delmas D: Assessment of 10 – year absolute fracture risk: a new paradigm with worldwide application. Osteoporos Int.

47 41 42 Jaroslava Wendlova Table 2. f. 121135. Table 3. f. 029297. 64 Expected Frequency of Biomechanically Adverse Values … 43 Figure 3. Expected distribution of frequencies for HAL (mm) variable values is logistic (East Slovak female population). Generalized logistic distribution enabled us to determine the expected frequency (expressed in %) of biomechanically adverse variable values of proximal femur geometric variables in the East Slovak female population. Biomechanically adverse values of proximal femur geometric variables (α , θ , HAL) are values higher than the upper limit of 95% C.

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