robust local regression matlab function Search Results


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MathWorks Inc robust local regression
Robust Local Regression, supplied by MathWorks 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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Rloess Function Within Matlab S Curve Fitting Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc robust local regression method
Robust Local Regression Method, supplied by MathWorks 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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MathWorks Inc rlowess
Cerebrospinal fluid (CSF) biomarker trajectories. The graphs represent the z‐scores changes of each CSF biomarker using the mean and the standard deviation of that CSF biomarker in the A–T– group as a reference. The resulting z‐scores are shown as a function of CSF Aβ42/40 (A) p‐tau (B) or p‐tau/Aβ42 (C) using a robust <t>local</t> <t>weighted</t> <t>regression</t> <t>method.</t> The solid lines depict the trajectory of each CSF biomarker. The dashed lines depict the cutoff for CSF Aβ42/40, p‐tau, and p‐tau/Aβ42, respectively. The horizontal axis direction of CSF Aβ42/40 (A) was inverted.
Rlowess, supplied by MathWorks 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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MathWorks Inc lowess local regression matlab 'smooth' function
Cerebrospinal fluid (CSF) biomarker trajectories. The graphs represent the z‐scores changes of each CSF biomarker using the mean and the standard deviation of that CSF biomarker in the A–T– group as a reference. The resulting z‐scores are shown as a function of CSF Aβ42/40 (A) p‐tau (B) or p‐tau/Aβ42 (C) using a robust <t>local</t> <t>weighted</t> <t>regression</t> <t>method.</t> The solid lines depict the trajectory of each CSF biomarker. The dashed lines depict the cutoff for CSF Aβ42/40, p‐tau, and p‐tau/Aβ42, respectively. The horizontal axis direction of CSF Aβ42/40 (A) was inverted.
Lowess Local Regression Matlab 'smooth' Function, supplied by MathWorks 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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MathWorks Inc matlab function lmfit
Cerebrospinal fluid (CSF) biomarker trajectories. The graphs represent the z‐scores changes of each CSF biomarker using the mean and the standard deviation of that CSF biomarker in the A–T– group as a reference. The resulting z‐scores are shown as a function of CSF Aβ42/40 (A) p‐tau (B) or p‐tau/Aβ42 (C) using a robust <t>local</t> <t>weighted</t> <t>regression</t> <t>method.</t> The solid lines depict the trajectory of each CSF biomarker. The dashed lines depict the cutoff for CSF Aβ42/40, p‐tau, and p‐tau/Aβ42, respectively. The horizontal axis direction of CSF Aβ42/40 (A) was inverted.
Matlab Function Lmfit, supplied by MathWorks 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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MathWorks Inc matlab function "smooth
Cerebrospinal fluid (CSF) biomarker trajectories. The graphs represent the z‐scores changes of each CSF biomarker using the mean and the standard deviation of that CSF biomarker in the A–T– group as a reference. The resulting z‐scores are shown as a function of CSF Aβ42/40 (A) p‐tau (B) or p‐tau/Aβ42 (C) using a robust <t>local</t> <t>weighted</t> <t>regression</t> <t>method.</t> The solid lines depict the trajectory of each CSF biomarker. The dashed lines depict the cutoff for CSF Aβ42/40, p‐tau, and p‐tau/Aβ42, respectively. The horizontal axis direction of CSF Aβ42/40 (A) was inverted.
Matlab Function "Smooth, supplied by MathWorks 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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MathWorks Inc robust locally weighted linear regression function
Cerebrospinal fluid (CSF) biomarker trajectories. The graphs represent the z‐scores changes of each CSF biomarker using the mean and the standard deviation of that CSF biomarker in the A–T– group as a reference. The resulting z‐scores are shown as a function of CSF Aβ42/40 (A) p‐tau (B) or p‐tau/Aβ42 (C) using a robust <t>local</t> <t>weighted</t> <t>regression</t> <t>method.</t> The solid lines depict the trajectory of each CSF biomarker. The dashed lines depict the cutoff for CSF Aβ42/40, p‐tau, and p‐tau/Aβ42, respectively. The horizontal axis direction of CSF Aβ42/40 (A) was inverted.
Robust Locally Weighted Linear Regression Function, supplied by MathWorks 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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Cerebrospinal fluid (CSF) biomarker trajectories. The graphs represent the z‐scores changes of each CSF biomarker using the mean and the standard deviation of that CSF biomarker in the A–T– group as a reference. The resulting z‐scores are shown as a function of CSF Aβ42/40 (A) p‐tau (B) or p‐tau/Aβ42 (C) using a robust local weighted regression method. The solid lines depict the trajectory of each CSF biomarker. The dashed lines depict the cutoff for CSF Aβ42/40, p‐tau, and p‐tau/Aβ42, respectively. The horizontal axis direction of CSF Aβ42/40 (A) was inverted.

Journal: Alzheimer's & Dementia

Article Title: Amyloid beta, tau, synaptic, neurodegeneration, and glial biomarkers in the preclinical stage of the Alzheimer's continuum

doi: 10.1002/alz.12131

Figure Lengend Snippet: Cerebrospinal fluid (CSF) biomarker trajectories. The graphs represent the z‐scores changes of each CSF biomarker using the mean and the standard deviation of that CSF biomarker in the A–T– group as a reference. The resulting z‐scores are shown as a function of CSF Aβ42/40 (A) p‐tau (B) or p‐tau/Aβ42 (C) using a robust local weighted regression method. The solid lines depict the trajectory of each CSF biomarker. The dashed lines depict the cutoff for CSF Aβ42/40, p‐tau, and p‐tau/Aβ42, respectively. The horizontal axis direction of CSF Aβ42/40 (A) was inverted.

Article Snippet: The relationship between each CSF biomarker and the proxies of disease progression (ie, CSF Aβ42/40, p‐tau, and p‐tau/Aβ42) were modelled using a robust local weighted regression method (rlowess; “smooth” function in Matlab and a span of 300) and we plotted the resulting model. , Moreover, we calculated the linear regression slopes for each of the biomarkers in each of the negative or positive groups, using the previously described cutoffs.

Techniques: Biomarker Discovery, Standard Deviation