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robust linear regression model matlab function fitlm  (MathWorks Inc)


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    MathWorks Inc robust linear regression model matlab function fitlm
    Robust Linear Regression Model Matlab Function Fitlm, 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/robust+linear+regression+model/pmc11698975-212-28-31
    Average 90 stars, based on 1 article reviews
    robust linear regression model matlab function fitlm - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    other:

    Article Title: The repertoire of mutational signatures in human cancer
    Article Snippet: A robust linear regression model that estimated the slope of the line and whether this slope was significantly different from zero ( F test; P value < 0.05) was performed using the MATLAB function robustfit ( https://www.mathworks.com/help/stats/robustfit.html ) with default parameters.

    Article Title: The Repertoire of Mutational Signatures in Human Cancer
    Article Snippet: A robust linear regression model that estimates the slope of the line and whether this slope is significantly different from zero (F-test; p-value<0.05) was performed using the MATLAB function robustfit ( https://www.mathworks.com/help/stats/robustfit.html ) with default parameters.

    Article Title: Distinct Lateral Prefrontal Regions Are Organized in an Anterior–Posterior Functional Gradient
    Article Snippet: Pin Kwang Tan, Cheng Tang, Roger Herikstad, Arunika Pillay, and Camilo Libedinsky Institute of Neuroscience, University of Texas at Austin, Austin, Texas 78712, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, The N1 Institute for Health, National University of Singapore, Singapore 117456, Department of Psychology, Royal Holloway University of London, Egham TW20 OEX, United Kingdom, Department of Psychology, National University of Singapore, Singapore 117570, and Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, National University of Singapore, Singapore 138632

    Article Title: The repertoire of mutational signatures in human cancer
    Article Snippet: A robust linear regression model that estimates the slope of the line and whether this slope is significantly different from zero (F-test; p-value<0.05) was performed using the MATLAB function robustfit (https://www.mathworks.com/help/stats/robustfit.html) with default parameters.



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    Observed TMT-A, TMT-B and DB z scores and fitted curve based on linear mixed-effects model for all patients over time following VNS therapy. The baseline z scores for TMT-A, TMT-B and DB were − 1.42, −2.01, and − 0.53, respectively. AVG = Average.

    Journal: Frontiers in Psychiatry

    Article Title: Complex executive functions assessed by the trail making test (TMT) part B improve more than those assessed by the TMT part A or digit span backward task during vagus nerve stimulation in patients with drug-resistant epilepsy

    doi: 10.3389/fpsyt.2024.1349201

    Figure Lengend Snippet: Observed TMT-A, TMT-B and DB z scores and fitted curve based on linear mixed-effects model for all patients over time following VNS therapy. The baseline z scores for TMT-A, TMT-B and DB were − 1.42, −2.01, and − 0.53, respectively. AVG = Average.

    Article Snippet: Changes in TMT-A, TMT-B, and DB z scores over time (months) were analyzed using a multilevel mixed-effects linear regression (LME) model with robust standard errors in Stata version 17.0 (StataCorp, College Station, Texas, United States).

    Techniques:

    Journal: Frontiers in Psychiatry

    Article Title: Complex executive functions assessed by the trail making test (TMT) part B improve more than those assessed by the TMT part A or digit span backward task during vagus nerve stimulation in patients with drug-resistant epilepsy

    doi: 10.3389/fpsyt.2024.1349201

    Figure Lengend Snippet:

    Article Snippet: Changes in TMT-A, TMT-B, and DB z scores over time (months) were analyzed using a multilevel mixed-effects linear regression (LME) model with robust standard errors in Stata version 17.0 (StataCorp, College Station, Texas, United States).

    Techniques: Functional Assay, Magnetic Resonance Imaging