Regression Analysis and Multivariate Analysis
Copyright policy )Regression Analysis and Multivariate Analysis
Proper evaluation of data does not necessarily require the use of advanced statistical methods; however, such advanced tools offer the researcher the freedom to evaluate more complex hypotheses. This overview of regression analysis and multivariate statistics describes general concepts. Basic definitions and conventions are reviewed. The types of regression analysis are then discussed, including simple regression, multiple regression, multivariate multiple regression, and logistic regression. The various steps required to perform these analyses are described, and the advantages and disadvantages of each is detailed.
- Yale University United States
Analysis of Variance, Clinical Trials as Topic, Logistic Models, Models, Statistical, Multivariate Analysis, Linear Models, Discriminant Analysis, Humans, Regression Analysis
Analysis of Variance, Clinical Trials as Topic, Logistic Models, Models, Statistical, Multivariate Analysis, Linear Models, Discriminant Analysis, Humans, Regression Analysis
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