logistic model Search Results


logistic regression model  (Blackwell Science Ltd)
90
Blackwell Science Ltd logistic regression model
Logistic Regression Model, supplied by Blackwell Science Ltd, 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
logistic regression model - by Bioz Stars, 2026-03
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mixed-effects logistic regression glimmix-procedure  (SAS institute)
90
SAS institute mixed-effects logistic regression glimmix-procedure
Mixed Effects Logistic Regression Glimmix Procedure, 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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Average 90 stars, based on 1 article reviews
mixed-effects logistic regression glimmix-procedure - by Bioz Stars, 2026-03
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simple logistic regression model  (GraphPad Software Inc)
90
GraphPad Software Inc simple logistic regression model
Simple Logistic Regression Model, 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/simple logistic regression model/product/GraphPad Software Inc
Average 90 stars, based on 1 article reviews
simple logistic regression model - by Bioz Stars, 2026-03
90/100 stars
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generalized linear model with a logistic link function  (SAS institute)
90
SAS institute generalized linear model with a logistic link function
Generalized Linear Model With A Logistic Link Function, 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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Average 90 stars, based on 1 article reviews
generalized linear model with a logistic link function - by Bioz Stars, 2026-03
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bivariate, binomial, generalized linear mixed model sas 9.2  (SAS institute)
90
SAS institute bivariate, binomial, generalized linear mixed model sas 9.2
Bivariate, Binomial, Generalized Linear Mixed Model Sas 9.2, 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
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Average 90 stars, based on 1 article reviews
bivariate, binomial, generalized linear mixed model sas 9.2 - by Bioz Stars, 2026-03
90/100 stars
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logistic regression model  (SAS institute)
90
SAS institute logistic regression model
Logistic Regression Model, 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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Average 90 stars, based on 1 article reviews
logistic regression model - by Bioz Stars, 2026-03
90/100 stars
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logistic model  (treeage software)
90
treeage software logistic model
Characteristics of reviewed literature on <t> machine </t> <t> learning </t> with NPS and AD biomarkers in context of brain aging
Logistic Model, supplied by treeage software, 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
logistic model - by Bioz Stars, 2026-03
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univariable logistic regression model  (Wolters Kluwer Health)
90
Wolters Kluwer Health univariable logistic regression model
Characteristics of reviewed literature on <t> machine </t> <t> learning </t> with NPS and AD biomarkers in context of brain aging
Univariable Logistic Regression Model, 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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Average 90 stars, based on 1 article reviews
univariable logistic regression model - by Bioz Stars, 2026-03
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maximum likelihood logistic regression model  (SAS institute)
90
SAS institute maximum likelihood logistic regression model
Characteristics of reviewed literature on <t> machine </t> <t> learning </t> with NPS and AD biomarkers in context of brain aging
Maximum Likelihood Logistic Regression Model, 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/result/maximum likelihood logistic regression model/product/SAS institute
Average 90 stars, based on 1 article reviews
maximum likelihood logistic regression model - by Bioz Stars, 2026-03
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multinomial mixed logistic model  (SAS institute)
90
SAS institute multinomial mixed logistic model
Characteristics of reviewed literature on <t> machine </t> <t> learning </t> with NPS and AD biomarkers in context of brain aging
Multinomial Mixed Logistic Model, 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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polynomial logistic regression model  (SAS institute)
90
SAS institute polynomial logistic regression model
Characteristics of reviewed literature on <t> machine </t> <t> learning </t> with NPS and AD biomarkers in context of brain aging
Polynomial Logistic Regression Model, 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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Average 90 stars, based on 1 article reviews
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two-parameter logistic model function 1  (GraphPad Software Inc)
90
GraphPad Software Inc two-parameter logistic model function 1
Characteristics of reviewed literature on <t> machine </t> <t> learning </t> with NPS and AD biomarkers in context of brain aging
Two Parameter Logistic Model Function 1, 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
two-parameter logistic model function 1 - by Bioz Stars, 2026-03
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Image Search Results


Characteristics of reviewed literature on machine learning with NPS and AD biomarkers in context of brain aging

Journal: Journal of Alzheimer's disease : JAD

Article Title: Neuropsychiatric Symptoms and Commonly Used Biomarkers of Alzheimer’s Disease: A Literature Review from a Machine Learning Perspective

doi: 10.3233/JAD-221261

Figure Lengend Snippet: Characteristics of reviewed literature on machine learning with NPS and AD biomarkers in context of brain aging

Article Snippet: Author/s Year Dataset Machine Learning Model Participant Information Key findings Gill et al. [ 23 ] 2020 ADNI Logistic Model Tree Age: 55–90 y Cognitive status: NC and MCI at baseline Study predicted future cognitive status using baseline clinical, neuropsychiatric, and structural MRI data.

Techniques: Diagnostic Assay

Characteristics of reviewed literature on machine learning with NPS in context of brain aging

Journal: Journal of Alzheimer's disease : JAD

Article Title: Neuropsychiatric Symptoms and Commonly Used Biomarkers of Alzheimer’s Disease: A Literature Review from a Machine Learning Perspective

doi: 10.3233/JAD-221261

Figure Lengend Snippet: Characteristics of reviewed literature on machine learning with NPS in context of brain aging

Article Snippet: Author/s Year Dataset Machine Learning Model Participant Information Key findings Gill et al. [ 23 ] 2020 ADNI Logistic Model Tree Age: 55–90 y Cognitive status: NC and MCI at baseline Study predicted future cognitive status using baseline clinical, neuropsychiatric, and structural MRI data.

Techniques:

Characteristics of reviewed literature on machine learning and MRI biomarkers

Journal: Journal of Alzheimer's disease : JAD

Article Title: Neuropsychiatric Symptoms and Commonly Used Biomarkers of Alzheimer’s Disease: A Literature Review from a Machine Learning Perspective

doi: 10.3233/JAD-221261

Figure Lengend Snippet: Characteristics of reviewed literature on machine learning and MRI biomarkers

Article Snippet: Author/s Year Dataset Machine Learning Model Participant Information Key findings Gill et al. [ 23 ] 2020 ADNI Logistic Model Tree Age: 55–90 y Cognitive status: NC and MCI at baseline Study predicted future cognitive status using baseline clinical, neuropsychiatric, and structural MRI data.

Techniques: Diagnostic Assay, Sampling, Biomarker Discovery, Comparison, Imaging, Transformation Assay

Characteristics of reviewed literature on machine learning and PET biomarkers

Journal: Journal of Alzheimer's disease : JAD

Article Title: Neuropsychiatric Symptoms and Commonly Used Biomarkers of Alzheimer’s Disease: A Literature Review from a Machine Learning Perspective

doi: 10.3233/JAD-221261

Figure Lengend Snippet: Characteristics of reviewed literature on machine learning and PET biomarkers

Article Snippet: Author/s Year Dataset Machine Learning Model Participant Information Key findings Gill et al. [ 23 ] 2020 ADNI Logistic Model Tree Age: 55–90 y Cognitive status: NC and MCI at baseline Study predicted future cognitive status using baseline clinical, neuropsychiatric, and structural MRI data.

Techniques: Imaging, Diagnostic Assay

Characteristics of reviewed literature on machine learning and fMRI biomarkers

Journal: Journal of Alzheimer's disease : JAD

Article Title: Neuropsychiatric Symptoms and Commonly Used Biomarkers of Alzheimer’s Disease: A Literature Review from a Machine Learning Perspective

doi: 10.3233/JAD-221261

Figure Lengend Snippet: Characteristics of reviewed literature on machine learning and fMRI biomarkers

Article Snippet: Author/s Year Dataset Machine Learning Model Participant Information Key findings Gill et al. [ 23 ] 2020 ADNI Logistic Model Tree Age: 55–90 y Cognitive status: NC and MCI at baseline Study predicted future cognitive status using baseline clinical, neuropsychiatric, and structural MRI data.

Techniques: Extraction, Biomarker Discovery, Functional Assay, Activity Assay, Diagnostic Assay

Characteristics of reviewed literature on machine learning and multiple biomarkers

Journal: Journal of Alzheimer's disease : JAD

Article Title: Neuropsychiatric Symptoms and Commonly Used Biomarkers of Alzheimer’s Disease: A Literature Review from a Machine Learning Perspective

doi: 10.3233/JAD-221261

Figure Lengend Snippet: Characteristics of reviewed literature on machine learning and multiple biomarkers

Article Snippet: Author/s Year Dataset Machine Learning Model Participant Information Key findings Gill et al. [ 23 ] 2020 ADNI Logistic Model Tree Age: 55–90 y Cognitive status: NC and MCI at baseline Study predicted future cognitive status using baseline clinical, neuropsychiatric, and structural MRI data.

Techniques: Comparison