Several statistical methods have been proposed to deal with SNP–SNP interactions, such as multivariate adaptive regression splines (MARS) (Friedman 1991; Cook et al. 2004), multifactor ...

Understanding the mechanics of adaptive evolution requires not only knowing the quantitative genetic bases of the traits of interest but also obtaining accurate measures of the strengths and modes of ...

A class of estimating functions is proposed for the estimation of multivariate relative risk in stratified case-control studies. It reduces to the well-known Mantel-Haenszel estimator when there is a ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

Linear regression is a statistical method used to understand the relationship between an outcome variable and one or more explanatory variables. It works by fitting a regression line through the ...

Two (base) multivariable logistic regression models were applied: (1) a statistical multivariable model that used a backwards selection algorithm of univariable factors associated with quitting at P < ...