multivariable linear regression Search Results


kinetic analysis using multivariate non-linear regression i  (Opfermann Arzneimittel GMBH)
90
Opfermann Arzneimittel GMBH kinetic analysis using multivariate non-linear regression i
Kinetic Analysis Using Multivariate Non Linear Regression I, 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
https://www.bioz.com/product/multivariable+linear+regression/10__1016_slash_j__tca__2011__03__034-922-1-2?v=Opfermann+Arzneimittel+GMBH
Average 90 stars, based on 1 article reviews
kinetic analysis using multivariate non-linear regression i - by Bioz Stars, 2026-07
90/100 stars
  Buy from Supplier
multivariate linear regression models  (Johns Hopkins HealthCare)
90
Johns Hopkins HealthCare multivariate linear regression models
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
https://www.bioz.com/product/multivariable+linear+regression/pmc10151242__bmjopen___2022___064033__reviewer_comments-244-26-37?v=Johns+Hopkins+HealthCare
Average 90 stars, based on 1 article reviews
multivariate linear regression models - by Bioz Stars, 2026-07
90/100 stars
  Buy from Supplier
multivariate linear regression equations  (SAS institute)
90
SAS institute multivariate linear regression equations
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
https://www.bioz.com/product/multivariable+linear+regression/10__1080_slash_00288233__2015__1018391-75-9-21?v=SAS+institute
Average 90 stars, based on 1 article reviews
multivariate linear regression equations - by Bioz Stars, 2026-07
90/100 stars
  Buy from Supplier
multivariate linear regression  (SAS institute)
90
SAS institute multivariate linear regression
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
https://www.bioz.com/product/multivariable+linear+regression/pmc04516763-107-17-22?v=SAS+institute
Average 90 stars, based on 1 article reviews
multivariate linear regression - by Bioz Stars, 2026-07
90/100 stars
  Buy from Supplier
multivariable linear regression least squares  (GraphPad Software Inc)
90
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
https://www.bioz.com/product/multivariable+linear+regression/pmc09370923-164-1-9?v=GraphPad+Software+Inc
Average 90 stars, based on 1 article reviews
multivariable linear regression least squares - by Bioz Stars, 2026-07
90/100 stars
  Buy from Supplier
multivariable logistic regression analyses  (Allen Press Inc)
90
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
https://www.bioz.com/product/multivariable+linear+regression/pm40356533-14-26-12?v=Allen+Press+Inc
Average 90 stars, based on 1 article reviews
multivariable logistic regression analyses - by Bioz Stars, 2026-07
90/100 stars
  Buy from Supplier
multivariable linear regression model with log transformation  (SAS institute)
90
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.
Multivariable Linear Regression Model With Log Transformation, 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/multivariable+linear+regression/pmc05853506-86-6-15?v=SAS+institute
Average 90 stars, based on 1 article reviews
multivariable linear regression model with log transformation - by Bioz Stars, 2026-07
90/100 stars
  Buy from Supplier
multivariate linear regression version 9.1.3  (SAS institute)
90
SAS institute multivariate linear regression version 9.1.3
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.
Multivariate Linear Regression Version 9.1.3, 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/multivariable+linear+regression/pmc02920905-254-17-22?v=SAS+institute
Average 90 stars, based on 1 article reviews
multivariate linear regression version 9.1.3 - by Bioz Stars, 2026-07
90/100 stars
  Buy from Supplier
ordinary multivariate linear regression 2  (SAS institute)
90
SAS institute ordinary multivariate linear regression 2
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.
Ordinary Multivariate Linear Regression 2, 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/multivariable+linear+regression/pm23312984-36-24-36?v=SAS+institute
Average 90 stars, based on 1 article reviews
ordinary multivariate linear regression 2 - by Bioz Stars, 2026-07
90/100 stars
  Buy from Supplier
multivariable linear regression models  (geological survey network)
90
geological survey network multivariable linear regression models
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 Models, supplied by geological survey network, 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/multivariable+linear+regression/pmc10541172-52-46-89?v=geological+survey+network
Average 90 stars, based on 1 article reviews
multivariable linear regression models - by Bioz Stars, 2026-07
90/100 stars
  Buy from Supplier
multivariable linear regression model for promis upper extremity  (ProMIS Neurosciences)
90
ProMIS Neurosciences multivariable linear regression model for promis upper extremity
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 Model For Promis Upper Extremity, supplied by ProMIS Neurosciences, 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/multivariable+linear+regression/pmc05950966-116-0-7?v=ProMIS+Neurosciences
Average 90 stars, based on 1 article reviews
multivariable linear regression model for promis upper extremity - by Bioz Stars, 2026-07
90/100 stars
  Buy from Supplier
multivariate linear regression model graphpad prism 5.02  (GraphPad Software Inc)
90
GraphPad Software Inc multivariate linear regression model graphpad prism 5.02
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.
Multivariate Linear Regression Model Graphpad Prism 5.02, 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
https://www.bioz.com/product/multivariable+linear+regression/pmc04444333-79-22-25?v=GraphPad+Software+Inc
Average 90 stars, based on 1 article reviews
multivariate linear regression model graphpad prism 5.02 - by Bioz Stars, 2026-07
90/100 stars
  Buy from Supplier

Image Search Results


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: