Significance of Multiple regression analysis

Multiple regression analysis is a statistical technique that models the relationship between multiple independent variables and one dependent variable. It is extensively utilized across various studies to examine influences on outcomes such as antifungal activity, school performance, glutamic acid concentration, and behaviors related to health. Through this method, researchers can understand the impact of several predictors—from social support to education levels—on the dependent variable while controlling for potential confounding factors.

Synonyms: Multiple regression, Multivariable regression, Multiple linear regression, Regression analysis, Multivariate regression, Predictive modeling, Linear regression, Statistical modeling

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The concept of Multiple regression analysis in scientific sources

Science Books

Multiple regression analysis is a statistical technique that assesses how various independent variables influence serum vitamin D levels, helping to understand complex relationships and improve predictions regarding vitamin D status.

Significance in Scientific journals, articles, etc.:

From: The Malaysian Journal of Medical Sciences

(1) This is a statistical method used to analyze multiple variables to determine the factors associated with the development of early post-traumatic seizures, as noted in the provided text.[1] (2) A statistical method used to analyze the relationship between variables, and the analysis showed that a person in the mild category had a higher chance of not being transferred when only clinical information was reviewed.[2] (3) A statistical method used to identify the factors that predict bleeding events in patients treated with Factor Xa inhibitors, such as antiplatelet use and creatinine levels.[3] (4) Multiple regression analysis is a statistical method used to demonstrate the role of lung function, obesity, smoking, and season in the reduction of serum vitamin D levels, and to adjust for possible confounders.[4] (5) Multiple regression analysis is a statistical method used to examine the relationship between multiple independent variables and a dependent variable, and is used.[5]

This section includes scientific research in the field of healthcare, often involving traditional medicine systems such as Ayurveda, Unani, Siddha and Holistic health. It includes papers from scientific journals classified as either original, clinical or experimental research, review articles or case reports.