Discrimination obtained with logistic regression: Odds ratios (OR) and areas under the ROC curve (AUC) for both techniques BDAT and DXA and the second population (87 patients).

Minonzio, Jean-Gabriel; Ramiandrisoa, Donatien; Schneider, Johannes; Kohut, Eva; Streichhahn, Melanie; Stervbo, Ulrik; Wirth, Rainer; Westhoff, Timm Henning; Raum, Kay; Babel, Nina

doi:10.1371/journal.pone.0277831.s002

pone.0277831.s002.pdf (97.7 kB)

Discrimination obtained with logistic regression: Odds ratios (OR) and areas under the ROC curve (AUC) for both techniques BDAT and DXA and the second population (87 patients).

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posted on 2022-12-30, 18:28 authored by Jean-Gabriel Minonzio, Donatien Ramiandrisoa, Johannes Schneider, Eva Kohut, Melanie Streichhahn, Ulrik Stervbo, Rainer Wirth, Timm Henning Westhoff, Kay Raum, Nina Babel

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third distal radius sup >&# 8722 magnetic resonance imaging directional axial transmission currently detected using body mass index best treatment strategy 80 ± 9years first arriving signal provides two velocities including 14 patients div >< p four parameters va0 obtained using dxa fracture risk assessment non traumatic fractures two parameters traumatic fractures first anti vertebral fractures ultrasound parameters age provides values obtained trained operators three groups smaller population slightly higher six patients roc curve r quantitative ultrasound p older subjects older patients odds ratio marien hospital loocv ),inverse approach help clinicians geometrical properties fractured patients discrimination model different alternatives current x cortical thickness clinical setting clinical environment anna hospital accurate measurement 95 years 87 patients 81 women 79 non 76 ].65 ].47 kg 3d x 25 men

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Discrimination obtained with logistic regression: Odds ratios (OR) and areas under the ROC curve (AUC) for both techniques BDAT and DXA and the second population (87 patients).

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