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stepwise multiple linear regression model  (MathWorks Inc)


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    MathWorks Inc stepwise multiple linear regression model
    Stepwise Multiple 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+multiple+regression+model/pmc08912927-150-2-22
    Average 90 stars, based on 1 article reviews
    stepwise multiple linear regression model - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: Dynamic motor control is associated with treatment outcomes for children with cerebral palsy
    Article Snippet: Statistical Analysis A stepwise multiple linear regression model was computed to explain the changes in each outcome measure from pre-treatment to post-treatment gait analysis (Matlab, MathWorks, Natick USA).

    Article Title: Dynamic motor control is associated with treatment outcomes for children with cerebral palsy.
    Article Snippet: A stepwise multiple linear regression model was computed to explain the changes in each outcome measure from pretreatment to post-treatment gait analysis (Matlab; MathWorks, Natick, MA, USA).

    Article Title: <scp>QSPR</scp> study to predict some of quantum chemical properties of anticancer imidazo[4,5‐b]pyridine derivatives using genetic algorithm multiple linear regression and molecular descriptors
    Article Snippet: Correspondence Tahereh Momeni Isfahani, Department of Chemistry, Arak Branch, Islamic Azad University, Arak, Iran.. Email: ta.momeni@iau.ac.ir; t.momeni.es@ gmail.com Abstract Pyridine and its derivatives have been applied clinically for the treatment of a wide range of diseases and in the synthesis of novel drugs.. In the present work, imidazo [4,5-b]pyridine derivatives as anticancer drugs were exhibited to select the important descriptor for quantum chemical properties.

    Article Title: Dynamic motor control is associated with treatment outcomes for children with cerebral palsy
    Article Snippet: A stepwise multiple linear regression model was computed to explain the changes in each outcome measure from pre-treatment to post-treatment gait analysis (Matlab, MathWorks, Natick USA).

    Article Title: Performance evaluation of the ISMLR package for predicting the next day's influent wastewater flowrate at Kirie WRP.
    Article Snippet: Soft-sensor applications for wastewater management can provide valuable information for intelligent monitoring and process control above and beyond what is available from conventional hard sensors and laboratory measurements.. To realize these benefits, it is important to know how to manage gaps in the data time series, which could result from the failure of hard sensors, errors in laboratory measurements, or low-frequency monitoring schedules.. A robust soft-sensor system needs to include a plan to address missing data and efficiently select variable(s) to make the most use of the available information.

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    Article Title: Comprehensive evaluation of resistance effects of pyramiding lines with different broad-spectrum resistance genes against Magnaporthe oryzae in rice (Oryza sativa L.).
    Article Snippet: .. The relationship between different interaction effect and RF was analyzed using a multiple stepwise regression model, which is an available option in Matlab (V.7.0) software (Xu et al. 2012). .. The interaction effects that were significantly correlated with RF were subjected to clustering by principal component analysis (PCA) in SPSS (V.21) software.

    Article Title: Comprehensive evaluation of resistance effects of pyramiding lines with different broad-spectrum resistance genes against Magnaporthe oryzae in rice ( Oryza sativa L.)
    Article Snippet: .. The relationship between different interaction effect and RF was analyzed using a multiple stepwise regression model, which is an available option in Matlab (V.7.0) software (Xu et al. ). .. The interaction effects that were significantly correlated with RF were subjected to clustering by principal component analysis (PCA) in SPSS (V.21) software.

    Article Title: Combination Patterns of Major R Genes Determine the Level of Resistance to the M . oryzae in Rice ( Oryza sativa L.)
    Article Snippet: .. The relationship between R genes and RF was analyzed using a multiple stepwise regression model, which is an available option in Matlab (V.7.0) software, according to Xu et al. [ ]. .. R genes that were significantly correlated with RF ( P ≤0.01) were subjected to various R gene combination factors according to factor analysis (principal component analysis, PCA) in SPSS (V.21) software.



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