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linear mixed effects regression models fitlme  (MathWorks Inc)


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    MathWorks Inc linear mixed effects regression models fitlme
    <t> Linear mixed effects regression </t> table for age <t> models. </t>
    Linear Mixed Effects Regression Models Fitlme, 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
    https://www.bioz.com/result/linear mixed effects regression models fitlme/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    linear mixed effects regression models fitlme - by Bioz Stars, 2026-03
    90/100 stars

    Images

    1) Product Images from "Maturation of the human striatal dopamine system revealed by PET and quantitative MRI"

    Article Title: Maturation of the human striatal dopamine system revealed by PET and quantitative MRI

    Journal: Nature Communications

    doi: 10.1038/s41467-020-14693-3

    Linear mixed effects regression table for age models.
    Figure Legend Snippet: Linear mixed effects regression table for age models.

    Techniques Used:

    Linear mixed effects regression table for associations between R2′ and PET binding potentials.
    Figure Legend Snippet: Linear mixed effects regression table for associations between R2′ and PET binding potentials.

    Techniques Used: Binding Assay

    a Tissue iron, assessed with R2′, is significantly positively associated with VMAT2 ( N = 98 sessions), assessed with [11C]Dihydrotetrabenazine binding potential (DTBZ BP). Results are from a linear mixed-effects model (* p < 0.05 Bonferroni corrected). b This relationship remains after regressing age effects out of both variables (age corrected). c Cross-lagged structural equation model indicating within-subject residualized change in DTBZ BP and R2′ at visit two (bolded) are significantly positively correlated ( N = 30 individuals, 60 sessions; * p < 0.05, ** p < 0.01). d Visual depiction of the effect from c .
    Figure Legend Snippet: a Tissue iron, assessed with R2′, is significantly positively associated with VMAT2 ( N = 98 sessions), assessed with [11C]Dihydrotetrabenazine binding potential (DTBZ BP). Results are from a linear mixed-effects model (* p < 0.05 Bonferroni corrected). b This relationship remains after regressing age effects out of both variables (age corrected). c Cross-lagged structural equation model indicating within-subject residualized change in DTBZ BP and R2′ at visit two (bolded) are significantly positively correlated ( N = 30 individuals, 60 sessions; * p < 0.05, ** p < 0.01). d Visual depiction of the effect from c .

    Techniques Used: Binding Assay



    Similar Products

    linear mixed effects regression models fitlme  (MathWorks Inc)
    90
    MathWorks Inc linear mixed effects regression models fitlme
    <t> Linear mixed effects regression </t> table for age <t> models. </t>
    Linear Mixed Effects Regression Models Fitlme, 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
    https://www.bioz.com/result/linear mixed effects regression models fitlme/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    linear mixed effects regression models fitlme - by Bioz Stars, 2026-03
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Linear mixed effects regression table for age models.

    Journal: Nature Communications

    Article Title: Maturation of the human striatal dopamine system revealed by PET and quantitative MRI

    doi: 10.1038/s41467-020-14693-3

    Figure Lengend Snippet: Linear mixed effects regression table for age models.

    Article Snippet: We used linear mixed effects regression models (fitlme in MATLAB), modeling participant ID as a random effect, to assess the developmental trajectories of R2′ across the striatum.

    Techniques:

    Linear mixed effects regression table for associations between R2′ and PET binding potentials.

    Journal: Nature Communications

    Article Title: Maturation of the human striatal dopamine system revealed by PET and quantitative MRI

    doi: 10.1038/s41467-020-14693-3

    Figure Lengend Snippet: Linear mixed effects regression table for associations between R2′ and PET binding potentials.

    Article Snippet: We used linear mixed effects regression models (fitlme in MATLAB), modeling participant ID as a random effect, to assess the developmental trajectories of R2′ across the striatum.

    Techniques: Binding Assay

    a Tissue iron, assessed with R2′, is significantly positively associated with VMAT2 ( N = 98 sessions), assessed with [11C]Dihydrotetrabenazine binding potential (DTBZ BP). Results are from a linear mixed-effects model (* p < 0.05 Bonferroni corrected). b This relationship remains after regressing age effects out of both variables (age corrected). c Cross-lagged structural equation model indicating within-subject residualized change in DTBZ BP and R2′ at visit two (bolded) are significantly positively correlated ( N = 30 individuals, 60 sessions; * p < 0.05, ** p < 0.01). d Visual depiction of the effect from c .

    Journal: Nature Communications

    Article Title: Maturation of the human striatal dopamine system revealed by PET and quantitative MRI

    doi: 10.1038/s41467-020-14693-3

    Figure Lengend Snippet: a Tissue iron, assessed with R2′, is significantly positively associated with VMAT2 ( N = 98 sessions), assessed with [11C]Dihydrotetrabenazine binding potential (DTBZ BP). Results are from a linear mixed-effects model (* p < 0.05 Bonferroni corrected). b This relationship remains after regressing age effects out of both variables (age corrected). c Cross-lagged structural equation model indicating within-subject residualized change in DTBZ BP and R2′ at visit two (bolded) are significantly positively correlated ( N = 30 individuals, 60 sessions; * p < 0.05, ** p < 0.01). d Visual depiction of the effect from c .

    Article Snippet: We used linear mixed effects regression models (fitlme in MATLAB), modeling participant ID as a random effect, to assess the developmental trajectories of R2′ across the striatum.

    Techniques: Binding Assay