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/multiple+stepwise+regression+model/pmc08912927-150-2-22
Average 90 stars, based on 1 article reviews
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/multiple+stepwise+regression+model/pmc08912927-150-2-22
Average 90 stars, based on 1 article reviews
stepwise multiple linear regression model - by Bioz Stars,
2026-09
90/100 stars
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other: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 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 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 Article Title: AggreRATE-Pred: a mathematical model for the prediction of change in aggregation rate upon point mutation. Article Snippet: Motivation: Protein aggregation is a major unsolved problem in biochemistry with implications for several human diseases, biotechnology and biomaterial sciences.. A majority of sequence-structural properties known for their mechanistic roles in protein aggregation do not correlate well with the aggregation kinetics.. This limits the practical utility of predictive algorithms. |