Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

Multivariate adaptive regression ... model improvement (2001). The input data contained a binary outcome and ten SNPs. These SNPs were treated as categorical variables in MARS. In LR, the ...

Investopedia / Eliana Rodgers The multivariate model is a popular statistical tool that uses multiple variables to forecast possible outcomes. Research analysts use multivariate models to forecast ...