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stepwise linear regression model  (MathWorks Inc)


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    MathWorks Inc stepwise linear regression model
    Stepwise Linear Regression Model, 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/stepwise+linear+regression/pm40136982-84-8-13
    Average 90 stars, based on 1 article reviews
    stepwise linear regression model - by Bioz Stars, 2026-11
    90/100 stars

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    Article Title: Quantitative structure-(chromatographic) retention relationship models for dissociating compounds.
    Article Snippet: The aim of this work was to develop mathematical models relating the hydrophobicity and dissociation constant of an analyte with its structure, which would be useful in predicting analyte retention times in reversed-phase liquid chromatography.. For that purpose a large and diverse group of 115 drugs was used to build three QSRR models combining retention-related parameters (logkw—chromatographic measure of hydrophobicity, S—slope factor from Snyder-Soczewinski equation, and pKa) with structural descriptors calculated by means of molecular modeling for both dissociated and nondissociated forms of analytes.. Lasso, Stepwise and PLS regressions were used to build statistical models.

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    Article Title: Amplitude of Intracranial Induced Electric Fields Does Not Linearly Decrease with Age: A Computational Study of Anatomical Effects in Adults.
    Article Snippet: .. Finally, for each montage, we constructed an individual stepwise linear regression model using MATLAB’s ‘stepwiselm’ function to examine the relationship between the cortical electric field amplitude and all anatomical parameters. ..



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    Models included in Step 1 of the stepwise linear mixed‐effects regression.

    Journal: Infancy

    Article Title: Individual Differences in Infants' Speech Segmentation Performance: The Role of Mother‐Infant Cardiac Synchrony

    doi: 10.1111/infa.70020

    Figure Lengend Snippet: Models included in Step 1 of the stepwise linear mixed‐effects regression.

    Article Snippet: In RStudio (RStudio Team ), we used stepwise linear mixed‐effects regression modeling (using the packages lme4 and lmerTest ; Bates et al. ; Kuznetsova et al. ).

    Techniques:

    Models included in Step 2 of the stepwise linear mixed‐effects regression.

    Journal: Infancy

    Article Title: Individual Differences in Infants' Speech Segmentation Performance: The Role of Mother‐Infant Cardiac Synchrony

    doi: 10.1111/infa.70020

    Figure Lengend Snippet: Models included in Step 2 of the stepwise linear mixed‐effects regression.

    Article Snippet: In RStudio (RStudio Team ), we used stepwise linear mixed‐effects regression modeling (using the packages lme4 and lmerTest ; Bates et al. ; Kuznetsova et al. ).

    Techniques:

    Models included in Step 3 of the stepwise linear mixed‐effects regression.

    Journal: Infancy

    Article Title: Individual Differences in Infants' Speech Segmentation Performance: The Role of Mother‐Infant Cardiac Synchrony

    doi: 10.1111/infa.70020

    Figure Lengend Snippet: Models included in Step 3 of the stepwise linear mixed‐effects regression.

    Article Snippet: In RStudio (RStudio Team ), we used stepwise linear mixed‐effects regression modeling (using the packages lme4 and lmerTest ; Bates et al. ; Kuznetsova et al. ).

    Techniques: