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lme model implementation  (MathWorks Inc)


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    MathWorks Inc lme model implementation
    Lme Model Implementation, 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/product/lme+model+implementation/pm40049221-94-1-7
    Average 90 stars, based on 1 article reviews
    lme model implementation - by Bioz Stars, 2026-09
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    Article Title: Assessing Infant Gross Motor Performance With an At-Home Wearable.
    Article Snippet: BACKGROUND: Early development of gross motor skills is foundational for the upcoming neurocognitive performance.. Here, we studied whether at-homewearable measurements performed by the parents could be used to quantify and track infants’ developing motor abilities.. METHODS: Unsupervised at-home measurements of the infants’ spontaneous activity were made repeatedly by the parents using a multisensor wearable suit (altogether 620 measurements from 134 infants at age 4–22 months).



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    spatiotemporal linear mixed-effects (lmes) models, implemented in  (MathWorks Inc)
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    The relationship between global AD pathology and gray matter. Three GLMs were implemented to estimate vertex-wise relationships between (A) global tau PET summary measure, (B) Aβ mean cortical SUVR, or (C) global tau controlling for Aβ, and left-hemisphere cross-sectional cortical thickness. Spatiotemporal <t>LMEs</t> models were used to investigate relationships between (D) global tau and time from initial MRI, (E) global Aβ and time, or (F) global tau and time controlling for Aβ and time, and antecedent longitudinal change in cortical thickness. All models controlled for the main effects of gender, current age, and scan resolution. Cross-sectional models used the Qdec multiple comparisons correction (FDR) procedure at P < .025 level to approximate comparisons in both hemispheres. Longitudinal models used the LME FDR2 comparisons correction in MATLAB and accounted for comparisons in both hemispheres. Values depicted from each model are thresholded at the level of significance identified by their respective FDR procedures. Abbreviations: Aβ, amyloid β; AD, Alzheimer's disease; FDR, false discovery rate; GLM, general linear model; LMEs, linear mixed-effects; MRI, magnetic resonance imaging; PET, positron emission tomography; SUVR, standardized uptake value ratio.
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    The relationship between global AD pathology and gray matter. Three GLMs were implemented to estimate vertex-wise relationships between (A) global tau PET summary measure, (B) Aβ mean cortical SUVR, or (C) global tau controlling for Aβ, and left-hemisphere cross-sectional cortical thickness. Spatiotemporal LMEs models were used to investigate relationships between (D) global tau and time from initial MRI, (E) global Aβ and time, or (F) global tau and time controlling for Aβ and time, and antecedent longitudinal change in cortical thickness. All models controlled for the main effects of gender, current age, and scan resolution. Cross-sectional models used the Qdec multiple comparisons correction (FDR) procedure at P < .025 level to approximate comparisons in both hemispheres. Longitudinal models used the LME FDR2 comparisons correction in MATLAB and accounted for comparisons in both hemispheres. Values depicted from each model are thresholded at the level of significance identified by their respective FDR procedures. Abbreviations: Aβ, amyloid β; AD, Alzheimer's disease; FDR, false discovery rate; GLM, general linear model; LMEs, linear mixed-effects; MRI, magnetic resonance imaging; PET, positron emission tomography; SUVR, standardized uptake value ratio.

    Journal: Alzheimer's & Dementia : Diagnosis, Assessment & Disease Monitoring

    Article Title: Cross-sectional and longitudinal atrophy is preferentially associated with tau rather than amyloid β positron emission tomography pathology

    doi: 10.1016/j.dadm.2018.02.003

    Figure Lengend Snippet: The relationship between global AD pathology and gray matter. Three GLMs were implemented to estimate vertex-wise relationships between (A) global tau PET summary measure, (B) Aβ mean cortical SUVR, or (C) global tau controlling for Aβ, and left-hemisphere cross-sectional cortical thickness. Spatiotemporal LMEs models were used to investigate relationships between (D) global tau and time from initial MRI, (E) global Aβ and time, or (F) global tau and time controlling for Aβ and time, and antecedent longitudinal change in cortical thickness. All models controlled for the main effects of gender, current age, and scan resolution. Cross-sectional models used the Qdec multiple comparisons correction (FDR) procedure at P < .025 level to approximate comparisons in both hemispheres. Longitudinal models used the LME FDR2 comparisons correction in MATLAB and accounted for comparisons in both hemispheres. Values depicted from each model are thresholded at the level of significance identified by their respective FDR procedures. Abbreviations: Aβ, amyloid β; AD, Alzheimer's disease; FDR, false discovery rate; GLM, general linear model; LMEs, linear mixed-effects; MRI, magnetic resonance imaging; PET, positron emission tomography; SUVR, standardized uptake value ratio.

    Article Snippet: The first set of analyses examined relationships of pathology with antecedent longitudinal change in cortical thickness at the cortical surface level using spatiotemporal linear mixed-effects (LMEs) models , implemented in MATLAB.

    Techniques: Magnetic Resonance Imaging, Positron Emission Tomography