auc values Search Results


auc values  (CEM Corporation)
90
CEM Corporation auc values
Auc Values, supplied by CEM Corporation, 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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Average 90 stars, based on 1 article reviews
auc values - by Bioz Stars, 2026-04
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auc for the roc curves, cutoff values, and test performance characteristics  (MedCalc Software Ltd)
90
MedCalc Software Ltd auc for the roc curves, cutoff values, and test performance characteristics
Auc For The Roc Curves, Cutoff Values, And Test Performance Characteristics, supplied by MedCalc Software Ltd, 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/result/auc for the roc curves, cutoff values, and test performance characteristics/product/MedCalc Software Ltd
Average 90 stars, based on 1 article reviews
auc for the roc curves, cutoff values, and test performance characteristics - by Bioz Stars, 2026-04
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auc (±sem) values  (GraphPad Software Inc)
90
GraphPad Software Inc auc (±sem) values
Auc (±Sem) Values, 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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Average 90 stars, based on 1 article reviews
auc (±sem) values - by Bioz Stars, 2026-04
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auc value  (Careflight Ltd)
90
Careflight Ltd auc value
Auc Value, supplied by Careflight Ltd, 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/result/auc value/product/Careflight Ltd
Average 90 stars, based on 1 article reviews
auc value - by Bioz Stars, 2026-04
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auc values  (MEDIPOST Inc)
90
MEDIPOST Inc auc values
Median values of angular velocity under four posturography conditions measured by mobile posturography (MediPost) and static posturography.
Auc Values, supplied by MEDIPOST 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/result/auc values/product/MEDIPOST Inc
Average 90 stars, based on 1 article reviews
auc values - by Bioz Stars, 2026-04
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auc values  (Philips Healthcare)
90
Philips Healthcare auc values
Median values of angular velocity under four posturography conditions measured by mobile posturography (MediPost) and static posturography.
Auc Values, supplied by Philips 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/result/auc values/product/Philips Healthcare
Average 90 stars, based on 1 article reviews
auc values - by Bioz Stars, 2026-04
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auc values  (23andMe)
90
23andMe auc values
Performance of classification The demographic AUC (95% CIs) includes estimates for a logistic model containing parameters of female gender, family history, and age. The UPSIT model includes estimates for a logistic model only containing the total UPSIT parameter. The GRS model includes estimates for a logistic model only containing the GRS parameter. The integrative model includes all parameters from the previous three models into the estimate of classification accuracy between cases and controls. For PPMI, <t> PDBP, </t> PARS, and 23andMe, the AUC estimates were generated comparing PD cases to controls. In PPMI, participants designated as SWEDD were compared to the same controls as the PD cases. In PARS, participants designated at risk were compared to the same controls as the PD cases. The LABS-PD and Penn-Udall studies were case-only, so instead of <t> AUC, </t> the proportion of correctly predicted cases was reported as a measure of classification accuracy (denoted by “*” in the table header) and includes the means and 95% CIs for this metric. At the current time, 23andMe could not provide precision estimates for this table.
Auc Values, supplied by 23andMe, 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/result/auc values/product/23andMe
Average 90 stars, based on 1 article reviews
auc values - by Bioz Stars, 2026-04
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uacr  (Wolters Kluwer Health)
90
Wolters Kluwer Health uacr
Performance of classification The demographic AUC (95% CIs) includes estimates for a logistic model containing parameters of female gender, family history, and age. The UPSIT model includes estimates for a logistic model only containing the total UPSIT parameter. The GRS model includes estimates for a logistic model only containing the GRS parameter. The integrative model includes all parameters from the previous three models into the estimate of classification accuracy between cases and controls. For PPMI, <t> PDBP, </t> PARS, and 23andMe, the AUC estimates were generated comparing PD cases to controls. In PPMI, participants designated as SWEDD were compared to the same controls as the PD cases. In PARS, participants designated at risk were compared to the same controls as the PD cases. The LABS-PD and Penn-Udall studies were case-only, so instead of <t> AUC, </t> the proportion of correctly predicted cases was reported as a measure of classification accuracy (denoted by “*” in the table header) and includes the means and 95% CIs for this metric. At the current time, 23andMe could not provide precision estimates for this table.
Uacr, 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/result/uacr/product/Wolters Kluwer Health
Average 90 stars, based on 1 article reviews
uacr - by Bioz Stars, 2026-04
90/100 stars
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auc values  (GraphPad Software Inc)
90
GraphPad Software Inc auc values
Performance of classification The demographic AUC (95% CIs) includes estimates for a logistic model containing parameters of female gender, family history, and age. The UPSIT model includes estimates for a logistic model only containing the total UPSIT parameter. The GRS model includes estimates for a logistic model only containing the GRS parameter. The integrative model includes all parameters from the previous three models into the estimate of classification accuracy between cases and controls. For PPMI, <t> PDBP, </t> PARS, and 23andMe, the AUC estimates were generated comparing PD cases to controls. In PPMI, participants designated as SWEDD were compared to the same controls as the PD cases. In PARS, participants designated at risk were compared to the same controls as the PD cases. The LABS-PD and Penn-Udall studies were case-only, so instead of <t> AUC, </t> the proportion of correctly predicted cases was reported as a measure of classification accuracy (denoted by “*” in the table header) and includes the means and 95% CIs for this metric. At the current time, 23andMe could not provide precision estimates for this table.
Auc Values, 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/result/auc values/product/GraphPad Software Inc
Average 90 stars, based on 1 article reviews
auc values - by Bioz Stars, 2026-04
90/100 stars
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auc values  (Epigenomics ag)
90
Epigenomics ag auc values
Performance of classification The demographic AUC (95% CIs) includes estimates for a logistic model containing parameters of female gender, family history, and age. The UPSIT model includes estimates for a logistic model only containing the total UPSIT parameter. The GRS model includes estimates for a logistic model only containing the GRS parameter. The integrative model includes all parameters from the previous three models into the estimate of classification accuracy between cases and controls. For PPMI, <t> PDBP, </t> PARS, and 23andMe, the AUC estimates were generated comparing PD cases to controls. In PPMI, participants designated as SWEDD were compared to the same controls as the PD cases. In PARS, participants designated at risk were compared to the same controls as the PD cases. The LABS-PD and Penn-Udall studies were case-only, so instead of <t> AUC, </t> the proportion of correctly predicted cases was reported as a measure of classification accuracy (denoted by “*” in the table header) and includes the means and 95% CIs for this metric. At the current time, 23andMe could not provide precision estimates for this table.
Auc Values, supplied by Epigenomics ag, 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/result/auc values/product/Epigenomics ag
Average 90 stars, based on 1 article reviews
auc values - by Bioz Stars, 2026-04
90/100 stars
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auc and cut-off values analysis  (MedCalc Software Ltd)
90
MedCalc Software Ltd auc and cut-off values analysis
Performance of classification The demographic AUC (95% CIs) includes estimates for a logistic model containing parameters of female gender, family history, and age. The UPSIT model includes estimates for a logistic model only containing the total UPSIT parameter. The GRS model includes estimates for a logistic model only containing the GRS parameter. The integrative model includes all parameters from the previous three models into the estimate of classification accuracy between cases and controls. For PPMI, <t> PDBP, </t> PARS, and 23andMe, the AUC estimates were generated comparing PD cases to controls. In PPMI, participants designated as SWEDD were compared to the same controls as the PD cases. In PARS, participants designated at risk were compared to the same controls as the PD cases. The LABS-PD and Penn-Udall studies were case-only, so instead of <t> AUC, </t> the proportion of correctly predicted cases was reported as a measure of classification accuracy (denoted by “*” in the table header) and includes the means and 95% CIs for this metric. At the current time, 23andMe could not provide precision estimates for this table.
Auc And Cut Off Values Analysis, supplied by MedCalc Software Ltd, 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/result/auc and cut-off values analysis/product/MedCalc Software Ltd
Average 90 stars, based on 1 article reviews
auc and cut-off values analysis - by Bioz Stars, 2026-04
90/100 stars
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1000 auc values  (Unilife Inc)
90
Unilife Inc 1000 auc values
Performance of classification The demographic AUC (95% CIs) includes estimates for a logistic model containing parameters of female gender, family history, and age. The UPSIT model includes estimates for a logistic model only containing the total UPSIT parameter. The GRS model includes estimates for a logistic model only containing the GRS parameter. The integrative model includes all parameters from the previous three models into the estimate of classification accuracy between cases and controls. For PPMI, <t> PDBP, </t> PARS, and 23andMe, the AUC estimates were generated comparing PD cases to controls. In PPMI, participants designated as SWEDD were compared to the same controls as the PD cases. In PARS, participants designated at risk were compared to the same controls as the PD cases. The LABS-PD and Penn-Udall studies were case-only, so instead of <t> AUC, </t> the proportion of correctly predicted cases was reported as a measure of classification accuracy (denoted by “*” in the table header) and includes the means and 95% CIs for this metric. At the current time, 23andMe could not provide precision estimates for this table.
1000 Auc Values, supplied by Unilife 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/result/1000 auc values/product/Unilife Inc
Average 90 stars, based on 1 article reviews
1000 auc values - by Bioz Stars, 2026-04
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Image Search Results


Median values of angular velocity under four posturography conditions measured by mobile posturography (MediPost) and static posturography.

Journal: Sensors (Basel, Switzerland)

Article Title: Utility of the Novel MediPost Mobile Posturography Device in the Assessment of Patients with a Unilateral Vestibular Disorder

doi: 10.3390/s22062208

Figure Lengend Snippet: Median values of angular velocity under four posturography conditions measured by mobile posturography (MediPost) and static posturography.

Article Snippet: Among all mCTSIB conditions in the ROC curve analysis, condition 4 represents the most accurate differentiating factor, with AUC values of 0.939 for static posturography and 0.953 for MediPost.

Techniques: Comparison

Performance of classification The demographic AUC (95% CIs) includes estimates for a logistic model containing parameters of female gender, family history, and age. The UPSIT model includes estimates for a logistic model only containing the total UPSIT parameter. The GRS model includes estimates for a logistic model only containing the GRS parameter. The integrative model includes all parameters from the previous three models into the estimate of classification accuracy between cases and controls. For PPMI, PDBP, PARS, and 23andMe, the AUC estimates were generated comparing PD cases to controls. In PPMI, participants designated as SWEDD were compared to the same controls as the PD cases. In PARS, participants designated at risk were compared to the same controls as the PD cases. The LABS-PD and Penn-Udall studies were case-only, so instead of AUC, the proportion of correctly predicted cases was reported as a measure of classification accuracy (denoted by “*” in the table header) and includes the means and 95% CIs for this metric. At the current time, 23andMe could not provide precision estimates for this table.

Journal: The Lancet. Neurology

Article Title: Diagnosis of Parkinson’s disease on the basis of clinical–genetic classification: a population-based modelling study

doi: 10.1016/S1474-4422(15)00178-7

Figure Lengend Snippet: Performance of classification The demographic AUC (95% CIs) includes estimates for a logistic model containing parameters of female gender, family history, and age. The UPSIT model includes estimates for a logistic model only containing the total UPSIT parameter. The GRS model includes estimates for a logistic model only containing the GRS parameter. The integrative model includes all parameters from the previous three models into the estimate of classification accuracy between cases and controls. For PPMI, PDBP, PARS, and 23andMe, the AUC estimates were generated comparing PD cases to controls. In PPMI, participants designated as SWEDD were compared to the same controls as the PD cases. In PARS, participants designated at risk were compared to the same controls as the PD cases. The LABS-PD and Penn-Udall studies were case-only, so instead of AUC, the proportion of correctly predicted cases was reported as a measure of classification accuracy (denoted by “*” in the table header) and includes the means and 95% CIs for this metric. At the current time, 23andMe could not provide precision estimates for this table.

Article Snippet: AUC values of 0.894 in PDBP and 0.955 in 23andMe were noted.

Techniques: Generated