linear mixed-effects model r2019a Search Results


linear mixed-effects model r2019a  (MathWorks Inc)
93
MathWorks Inc linear mixed-effects model r2019a
Linear Mixed Effects Model R2019a, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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matlab r2015a  (MathWorks Inc)
90
MathWorks Inc matlab r2015a
Matlab R2015a, 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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linear mixed-effects models fitlme  (MathWorks Inc)
90
MathWorks Inc linear mixed-effects models fitlme
Linear Mixed Effects 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
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tlme function  (MathWorks Inc)
90
MathWorks Inc tlme function
Tlme 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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matlab r2013a  (MathWorks Inc)
90
MathWorks Inc matlab r2013a
Matlab R2013a, 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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linear mixed-effect models matlab r2018a  (MathWorks Inc)
90
MathWorks Inc linear mixed-effect models matlab r2018a
Linear Mixed Effect Models Matlab R2018a, 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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bi-phasic nonlinear mixed effects (nlme) model nlmefit  (MathWorks Inc)
90
MathWorks Inc bi-phasic nonlinear mixed effects (nlme) model nlmefit
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).
Bi Phasic Nonlinear Mixed Effects (Nlme) Model Nlmefit, 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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matlab r2012a  (MathWorks Inc)
90
MathWorks Inc matlab r2012a
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).
Matlab R2012a, 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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Average 90 stars, based on 1 article reviews
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Image Search Results


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: