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nonlinear mixed-effects model nlme  (TIBCO)


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    TIBCO nonlinear mixed-effects model nlme
    Nonlinear Mixed Effects Model Nlme, supplied by TIBCO, 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/nonlinear+mixed-effects+model+nlme/nonlinear+mixed+effects+model+nlme/pmc04055787-139-1-11
    Average 90 stars, based on 1 article reviews
    nonlinear mixed-effects model nlme - by Bioz Stars, 2026-10
    90/100 stars

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    other:

    Article Title: Model-Based Meta-Analysis for Quantifying Paclitaxel Dose Response in Cancer Patients
    Article Snippet: Nonlinear mixed-effects model ( nlme ) in Splus Professional version 8.2 (TIBCO Software, Seattle, WA) was used for model development, exploratory plots, model simulation, and diagnostics.



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    Scatter plots showing the relations of the AMR variables to speech intelligibility (a–d) and speaking rate (e–h) in subjects with ALS. Circles correspond to data from subjects with a single-session recording; dots correspond to data from subjects with multiple-session (longitudinal) recordings. The lines correspond to the fit of the bi-phasic <t>NLME</t> models (a–d) and the LME models (e–h).
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    Scatter plots showing the relations of the AMR variables to speech intelligibility (a–d) and speaking rate (e–h) in subjects with ALS. Circles correspond to data from subjects with a single-session recording; dots correspond to data from subjects with multiple-session (longitudinal) recordings. The lines correspond to the fit of the bi-phasic <t>NLME</t> models (a–d) and the LME models (e–h).
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    Scatter plots showing the relations of the AMR variables to speech intelligibility (a–d) and speaking rate (e–h) in subjects with ALS. Circles correspond to data from subjects with a single-session recording; dots correspond to data from subjects with multiple-session (longitudinal) recordings. The lines correspond to the fit of the bi-phasic <t>NLME</t> models (a–d) and the LME models (e–h).
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    TIBCO nonlinear mixed-effects model nlme
    Scatter plots showing the relations of the AMR variables to speech intelligibility (a–d) and speaking rate (e–h) in subjects with ALS. Circles correspond to data from subjects with a single-session recording; dots correspond to data from subjects with multiple-session (longitudinal) recordings. The lines correspond to the fit of the bi-phasic <t>NLME</t> models (a–d) and the LME models (e–h).
    Nonlinear Mixed Effects Model Nlme, supplied by TIBCO, 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/nonlinear+mixed-effects+model+nlme/nonlinear+mixed+effects+model+nlme/pmc04055787-139-1-11
    Average 90 stars, based on 1 article reviews
    nonlinear mixed-effects model nlme - by Bioz Stars, 2026-10
    90/100 stars
      Buy from Supplier

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    Scatter plots showing the relations of the AMR variables to speech intelligibility (a–d) and speaking rate (e–h) in subjects with ALS. Circles correspond to data from subjects with a single-session recording; dots correspond to data from subjects with multiple-session (longitudinal) recordings. The lines correspond to the fit of the bi-phasic NLME models (a–d) and the LME models (e–h).

    Journal: International journal of speech-language pathology

    Article Title: Automatic extraction of abnormal lip movement features from the alternating motion rate (AMR) task in ALS

    doi: 10.1080/17549507.2018.1485739

    Figure Lengend Snippet: Scatter plots showing the relations of the AMR variables to speech intelligibility (a–d) and speaking rate (e–h) in subjects with ALS. Circles correspond to data from subjects with a single-session recording; dots correspond to data from subjects with multiple-session (longitudinal) recordings. The lines correspond to the fit of the bi-phasic NLME models (a–d) and the LME models (e–h).

    Article Snippet: To assess behavioural changes during the progression of bulbar ALS, we stratified the early and late stages of bulbar ALS based on a bi-phasic nonlinear mixed effects (NLME) model ( nlmefit , MATLAB R2016a).

    Techniques: