multivariable linear regression analyses Search Results


kinetic analysis using multivariate non-linear regression  (Opfermann Arzneimittel GMBH)
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Opfermann Arzneimittel GMBH kinetic analysis using multivariate non-linear regression
Kinetic Analysis Using Multivariate Non Linear Regression, supplied by Opfermann Arzneimittel GMBH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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multivariate logistic regression analyses  (LexisNexis Canada)
90
LexisNexis Canada multivariate logistic regression analyses
Characteristics of Patients Without LexisNexis Matches or With LexisNexis Matches but Without LexisNexis SSNs, and Odds Ratios With 95% CIs from <t> Multivariate Logistic Regression Analyses </t>
Multivariate Logistic Regression Analyses, supplied by LexisNexis Canada, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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multivariate logistic regression analyses  (SYSTAT)
90
SYSTAT multivariate logistic regression analyses
<t> Multivariate logistic regression </t> analysis for predictor variable associated with antibiotic resistance carriage.
Multivariate Logistic Regression Analyses, supplied by SYSTAT, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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multivariable log-linear regression analyses  (Wolters Kluwer Health)
90
Wolters Kluwer Health multivariable log-linear regression analyses
<t> Multivariate logistic regression </t> analysis for predictor variable associated with antibiotic resistance carriage.
Multivariable Log Linear Regression Analyses, 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
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multivariate linear regression models  (Johns Hopkins HealthCare)
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Johns Hopkins HealthCare multivariate linear regression models
<t> Multivariate logistic regression </t> analysis for predictor variable associated with antibiotic resistance carriage.
Multivariate Linear Regression Models, supplied by Johns Hopkins HealthCare, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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multivariate linear regression  (SAS institute)
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SAS institute multivariate linear regression
<t> Multivariate logistic regression </t> analysis for predictor variable associated with antibiotic resistance carriage.
Multivariate Linear Regression, 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
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multivariate linear regression equations  (SAS institute)
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SAS institute multivariate linear regression equations
<t> Multivariate logistic regression </t> analysis for predictor variable associated with antibiotic resistance carriage.
Multivariate Linear Regression Equations, 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
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multivariable linear regression least squares  (GraphPad Software Inc)
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GraphPad Software Inc multivariable linear regression least squares
Validation of regression models; ( a ) Actual vs. prediction MoCA, predicted with neural network regression model and ( b ) Actual vs. prediction MoCA, predicted with <t>multivariable</t> regression model and ( c ) Comparison of mean absolute errors with 95% CI confidence intervals; NNR = neural network regression and MLR = multivariable linear regression; ns = not significant.
Multivariable Linear Regression Least Squares, supplied by GraphPad Software Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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multivariable logistic regression analyses  (Allen Press Inc)
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Allen Press Inc multivariable logistic regression analyses
Validation of regression models; ( a ) Actual vs. prediction MoCA, predicted with neural network regression model and ( b ) Actual vs. prediction MoCA, predicted with <t>multivariable</t> regression model and ( c ) Comparison of mean absolute errors with 95% CI confidence intervals; NNR = neural network regression and MLR = multivariable linear regression; ns = not significant.
Multivariable Logistic Regression Analyses, supplied by Allen Press Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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multivariate linear regression analysis  (Bioscientifica Ltd)
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Bioscientifica Ltd multivariate linear regression analysis
Validation of regression models; ( a ) Actual vs. prediction MoCA, predicted with neural network regression model and ( b ) Actual vs. prediction MoCA, predicted with <t>multivariable</t> regression model and ( c ) Comparison of mean absolute errors with 95% CI confidence intervals; NNR = neural network regression and MLR = multivariable linear regression; ns = not significant.
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multivariable linear regression  (Minitab Inc)
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Minitab Inc multivariable linear regression
Validation of regression models; ( a ) Actual vs. prediction MoCA, predicted with neural network regression model and ( b ) Actual vs. prediction MoCA, predicted with <t>multivariable</t> regression model and ( c ) Comparison of mean absolute errors with 95% CI confidence intervals; NNR = neural network regression and MLR = multivariable linear regression; ns = not significant.
Multivariable Linear Regression, supplied by Minitab Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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multivariable linear regression model with log transformation  (SAS institute)
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SAS institute multivariable linear regression model with log transformation
Validation of regression models; ( a ) Actual vs. prediction MoCA, predicted with neural network regression model and ( b ) Actual vs. prediction MoCA, predicted with <t>multivariable</t> regression model and ( c ) Comparison of mean absolute errors with 95% CI confidence intervals; NNR = neural network regression and MLR = multivariable linear regression; ns = not significant.
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Image Search Results


Characteristics of Patients Without LexisNexis Matches or With LexisNexis Matches but Without LexisNexis SSNs, and Odds Ratios With 95% CIs from Multivariate Logistic Regression Analyses

Journal: Journal of Registry Management

Article Title: Using LexisNexis to Improve Social Security Number Information in the New York State Cancer Registry

doi:

Figure Lengend Snippet: Characteristics of Patients Without LexisNexis Matches or With LexisNexis Matches but Without LexisNexis SSNs, and Odds Ratios With 95% CIs from Multivariate Logistic Regression Analyses

Article Snippet: We used multivariate logistic regression analyses to further evaluate how patient demographic characteristics affected the likelihood of no LexisNexis matches or of no SSNs returned.

Techniques:

Multivariate logistic regression analysis for predictor variable associated with antibiotic resistance carriage.

Journal: Frontiers in Veterinary Science

Article Title: Prevalence of Beta-Lactam and Quinolone/Fluoroquinolone Resistance in Enterobacteriaceae From Dogs in France and Spain—Characterization of ESBL/pAmpC Isolates, Genes, and Conjugative Plasmids

doi: 10.3389/fvets.2019.00279

Figure Lengend Snippet: Multivariate logistic regression analysis for predictor variable associated with antibiotic resistance carriage.

Article Snippet: Multivariate logistic regression analyses were performed to identify independent predictors (sampling site, age, weight, diet, and reason for visit) of resistance carriage (prevalence of AMX-R, CTX-R, NAL-R, and CIP-R) among the investigated animals, using Systat v13.1 version.

Techniques: Significance Assay

Validation of regression models; ( a ) Actual vs. prediction MoCA, predicted with neural network regression model and ( b ) Actual vs. prediction MoCA, predicted with multivariable regression model and ( c ) Comparison of mean absolute errors with 95% CI confidence intervals; NNR = neural network regression and MLR = multivariable linear regression; ns = not significant.

Journal: Sensors (Basel, Switzerland)

Article Title: Gait Characteristics and Cognitive Function in Middle-Aged Adults with and without Type 2 Diabetes Mellitus: Data from ENBIND

doi: 10.3390/s22155710

Figure Lengend Snippet: Validation of regression models; ( a ) Actual vs. prediction MoCA, predicted with neural network regression model and ( b ) Actual vs. prediction MoCA, predicted with multivariable regression model and ( c ) Comparison of mean absolute errors with 95% CI confidence intervals; NNR = neural network regression and MLR = multivariable linear regression; ns = not significant.

Article Snippet: The multivariable linear regression (Least Squares) was performed in GraphPad Prism 9.0.1.

Techniques: Biomarker Discovery, Comparison

Confidence intervals of parameter estimates from the multivariable regression model.

Journal: Sensors (Basel, Switzerland)

Article Title: Gait Characteristics and Cognitive Function in Middle-Aged Adults with and without Type 2 Diabetes Mellitus: Data from ENBIND

doi: 10.3390/s22155710

Figure Lengend Snippet: Confidence intervals of parameter estimates from the multivariable regression model.

Article Snippet: The multivariable linear regression (Least Squares) was performed in GraphPad Prism 9.0.1.

Techniques: