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receiver operating characteristic roc curve  (STATA Corporation)


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    STATA Corporation receiver operating characteristic roc curve
    Receiver Operating Characteristic Roc Curve, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 99/100, based on 36741 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/receiver+operating+characteristic+roc+curves/STATA+1%2E0/pm40079894-31-64-89
    Average 99 stars, based on 36741 article reviews
    receiver operating characteristic roc curve - by Bioz Stars, 2026-10
    99/100 stars

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    Software:

    Article Title: Copeptin and the syndrome of inappropriate antidiuresis ( SIAD ) after pituitary transsphenoidal surgery
    Article Snippet: .. Logistic regression and receiver operating characteristic (ROC) curves were performed to investigate the value of copeptin in predicting SIAD and obtain optimal cut‐offs levels, using Stata (Statistical Software SE 16 College Station, TX: StataCorp LLC). ..

    Article Title: Prediction models for postoperative pulmonary complications in intensive care unit patients after noncardiac thoracic surgery
    Article Snippet: .. Then, nomograms for predicting the probability of PPC were established and receiver operating characteristic (ROC) curves were drawn with STATA V.16.0 software. ..

    Article Title: Evaluation of five different rapid immunochromatographic tests for canine leishmaniosis in Spain.
    Article Snippet: .. Receiver operating characteristic (ROC) curves were constructed on Stata 15 software (StataCorp, 2017). ..

    Article Title: Copeptin and the syndrome of inappropriate antidiuresis (SIAD) after pituitary transsphenoidal surgery.
    Article Snippet: .. Logistic regression and receiver operating characteristic (ROC) curves were performed to investigate the value of copeptin in predicting SIAD and obtain optimal cut- offs levels, using Stata (Statistical Software SE 16 College Station, TX: StataCorp LLC).9 Prism was used for graphical illustration for Figure 1. ..

    Article Title: Molecular Mechanism Biomarkers Predict Diagnosis in Schizophrenia and Schizoaffective Psychosis, with Implications for Treatment
    Article Snippet: .. Receiver operating characteristic (ROC) curves to establish biomarker status for single and compound variables were determined using Stata statistics software, version 15.1 [ ]. ..

    Article Title: Molecular Mechanism Biomarkers Predict Diagnosis in Schizophrenia and Schizoaffective Psychosis, with Implications for Treatment.
    Article Snippet: .. Receiver operating characteristic (ROC) curves to establish biomarker status for single and compound variables were determined using Stata statistics software, version 15.1 [116]. ..

    Significance Assay:

    Article Title: Substance abuse screening prior to bariatric surgery: an MBSAQIP cohort study evaluating frequency and factors associated with screening.
    Article Snippet: Introduction Patients undergoing bariatric surgery experience substantial risk of preand postoperative substance use.. Identifying patients at risk for substance use using validated screening tools remains crucial to risk mitigation and operative planning.. We aimed to evaluate proportion of bariatric surgery patients undergoing specific substance abuse screening, factors associated with screening and the relationship between screening and postoperative complications.

    Construct:

    Article Title: Evaluation of five different rapid immunochromatographic tests for canine leishmaniosis in Spain.
    Article Snippet: .. Receiver operating characteristic (ROC) curves were constructed on Stata 15 software (StataCorp, 2017). ..

    Biomarker Discovery:

    Article Title: Molecular Mechanism Biomarkers Predict Diagnosis in Schizophrenia and Schizoaffective Psychosis, with Implications for Treatment
    Article Snippet: .. Receiver operating characteristic (ROC) curves to establish biomarker status for single and compound variables were determined using Stata statistics software, version 15.1 [ ]. ..

    Article Title: Molecular Mechanism Biomarkers Predict Diagnosis in Schizophrenia and Schizoaffective Psychosis, with Implications for Treatment.
    Article Snippet: .. Receiver operating characteristic (ROC) curves to establish biomarker status for single and compound variables were determined using Stata statistics software, version 15.1 [116]. ..



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    <t>Receiver</t> operator characteristic curve <t>(ROC)</t> of the LASSO regression (LASSO), classification tree (CT), random forest (RF), Naïve Bayes (NB), Support Vector Machine (SVM), and Extreme Gradient Boosting (XGB) models for the train datasets (A) and test datasets (B). The area under the curve (AUC) of the ROC is represented by the value in parentheses.
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    Receiver operator characteristic curve (ROC) of the LASSO regression (LASSO), classification tree (CT), random forest (RF), Naïve Bayes (NB), Support Vector Machine (SVM), and Extreme Gradient Boosting (XGB) models for the train datasets (A) and test datasets (B). The area under the curve (AUC) of the ROC is represented by the value in parentheses.

    Journal: Poultry Science

    Article Title: Predictive modeling of bruising in broiler chickens using machine learning algorithms

    doi: 10.1016/j.psj.2025.105756

    Figure Lengend Snippet: Receiver operator characteristic curve (ROC) of the LASSO regression (LASSO), classification tree (CT), random forest (RF), Naïve Bayes (NB), Support Vector Machine (SVM), and Extreme Gradient Boosting (XGB) models for the train datasets (A) and test datasets (B). The area under the curve (AUC) of the ROC is represented by the value in parentheses.

    Article Snippet: Receiver operator characteristic curve (ROC) of the LASSO regression (LASSO), classification tree (CT), random forest (RF), Naïve Bayes (NB), Support Vector Machine (SVM), and Extreme Gradient Boosting (XGB) models for the train datasets (A) and test datasets (B).

    Techniques: Plasmid Preparation