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multiple variable logistic regression model  (Wolters Kluwer Health)

 
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    Wolters Kluwer Health multiple variable logistic regression model
    Multiple Variable Logistic Regression Model, supplied by Wolters Kluwer Health, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/multiple+variable+logistic+regression+model/multiple+variable+logistic+regression+model/10__1097_slash_bot__0000000000000982-68-2-40
    Average 90 stars, based on 1 article reviews
    multiple variable logistic regression model - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: Risk Factors for Failure of Bone Grafting of Tibia Nonunions and Segmental Bone Defects: A New Preoperative Risk Assessment Score
    Article Snippet: Results: Multivariate logistic modeling identified 5 significant (P, 0.05) risk factors for failure of the surgery to promote bone healing: (1) mechanism of injury, (2) Increasing body mass index, (3) cortical defect size (mm), (4) flap size (cm2), and (5) insurance status.. A prediction model was created based on these factors and awarded 0 points for fall, 17 points for high energy blunt trauma (OR = 17; 95% CI, 1–286, P = 0.05), 22 points for industrial/other (OR = 22; 95% CI, 1–4, P = 0.04), and 28 points for ballistic injuries (OR = 28; 95% CI, 1–605, P = 0.04).. One point is given for every 10 cm2 of flap size (OR = 1; 95% CI, 1–1.1, P , 0.001), 10 mm of mean cortical gap distance (OR = 1; 95% CI, 1–2, P = 0.004), and 10 units BMI, respectively (OR = 1.5; 95% CI, 1–3, P = 0.16).



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