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multivariate regression analysis  (SAS institute)


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    Structured Review

    SAS institute multivariate regression analysis
    Multivariate Regression Analysis, supplied by SAS institute, 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/cox+regression+multivariate+analysis/multivariate+regression+analysis/pm33853404-69-1-6
    Average 90 stars, based on 1 article reviews
    multivariate regression analysis - by Bioz Stars, 2026-11
    90/100 stars

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    other:

    Article Title: Utility of the Surgical Apgar Score in Kidney Transplantation: Is it Feasible to Predict ICU Admission, Hospital Readmission, Length of Stay, and Cost in This Patient Population?
    Article Snippet: Background: This study analyzed the utility of the Surgical Apgar Scoring (SAS) system in predicting morbidity in kidney transplantation.. Recipient comorbidities were evaluated for any effect on the SAS and then globally assessed for any relationship with intensive care unit (ICU) admission, need for dialysis, creatinine at discharge, length of stay, incremental, and total cost of transplantation.. The hypothesis for this study is that a low SAS will be a statistically significant predictor of postoperative morbidity and associated costs.

    Article Title: Preoperative frailty assessment predicts inferior quality of life outcomes up to one year after cardiac surgery: A prospective observational cohort study.
    Article Snippet: An increasing proportion of patients needing cardiac surgery meet diagnostic criteria for frailty, a multi-faceted syndrome associated with adverse postoperative outcomes resulting in poor health related quality of life (HRQoL) [1].. Preoperative assessment of frailty is not routine, even in high-risk cardiac surgical patients.. The modified frailty index (mFI) is shown to predict poor postoperative outcomes, especially at scores ≥0.27 [2].

    Article Title: Global Epidemiology of Urticaria: Increasing Burden among Children, Females and Low-income Regions
    Article Snippet: The data were analysed using multivariate regression analyses with SAS University Edition (SAS Institute Inc., Cary, NC, USA).

    Article Title: Consumer Perceptions of Meat Redness Were Strongly Influenced by Storage and Display Times
    Article Snippet: The association between CCS and oxy/met was tested for a simple and partial correlation using multivariate regression analysis (SAS Version 9.1).

    Biomarker Discovery:

    Article Title: Risk Factors For Prolonged Opioid Use After Spine Surgery.
    Article Snippet: .. A multivariate regression analysis was utilized (SAS, Cary, NC) to determine the effect of pre-operative opioid use and its association with prolonged post-operative usage, along with specific medical comorbidities (mental health diagnosis, tobacco usage, diabetes, chronic pain, complex regional pain syndrome, use of non-narcotic neuromodulatory medications) and post-operative complications (readmission, DVT, PE, irrigation and debridement for infection, MI, UTI, ileus, and wound dehiscence). ..

    Medications:

    Article Title: Risk Factors For Prolonged Opioid Use After Spine Surgery.
    Article Snippet: .. A multivariate regression analysis was utilized (SAS, Cary, NC) to determine the effect of pre-operative opioid use and its association with prolonged post-operative usage, along with specific medical comorbidities (mental health diagnosis, tobacco usage, diabetes, chronic pain, complex regional pain syndrome, use of non-narcotic neuromodulatory medications) and post-operative complications (readmission, DVT, PE, irrigation and debridement for infection, MI, UTI, ileus, and wound dehiscence). ..

    Infection:

    Article Title: Risk Factors For Prolonged Opioid Use After Spine Surgery.
    Article Snippet: .. A multivariate regression analysis was utilized (SAS, Cary, NC) to determine the effect of pre-operative opioid use and its association with prolonged post-operative usage, along with specific medical comorbidities (mental health diagnosis, tobacco usage, diabetes, chronic pain, complex regional pain syndrome, use of non-narcotic neuromodulatory medications) and post-operative complications (readmission, DVT, PE, irrigation and debridement for infection, MI, UTI, ileus, and wound dehiscence). ..



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     Cox regression analysis  of predictive factors for recovery of respiratory status among patients in the remdesivir combination group and in the control group

    Journal: Journal of Medical Virology

    Article Title: Combination therapy with remdesivir and immunomodulators improves respiratory status in COVID‐19: A retrospective study

    doi: 10.1002/jmv.28037

    Figure Lengend Snippet: Cox regression analysis of predictive factors for recovery of respiratory status among patients in the remdesivir combination group and in the control group

    Article Snippet: Cox regression multivariate analysis showed that the use of remdesivir was significantly associated with faster recovery of respiratory status in the tocilizumab group (HR: 3.02, 95% CI: 1.08–8.40, p = 0.034), but not in the baricitinib group (HR: 1.55, 95% CI: 0.35–6.79, p = 0.56) (Supporting Information: Table ).

    Techniques:

     Cox regression analysis  of predictive factors for improvement in survival time among patients in the combination or control group

    Journal: Journal of Medical Virology

    Article Title: Combination therapy with remdesivir and immunomodulators improves respiratory status in COVID‐19: A retrospective study

    doi: 10.1002/jmv.28037

    Figure Lengend Snippet: Cox regression analysis of predictive factors for improvement in survival time among patients in the combination or control group

    Article Snippet: Cox regression multivariate analysis showed that the use of remdesivir was significantly associated with faster recovery of respiratory status in the tocilizumab group (HR: 3.02, 95% CI: 1.08–8.40, p = 0.034), but not in the baricitinib group (HR: 1.55, 95% CI: 0.35–6.79, p = 0.56) (Supporting Information: Table ).

    Techniques: