We introduce a fast stepwise regression method, called the orthogonal greedy algorithm (OGA), that selects input variables to enter a p-dimensional linear regression model (with p ≫ n, the sample size ...

Many complex disease traits are observed to be associated with single nucleotide polymorphism (SNP) interactions. In testing small-scale SNP–SNP interactions, variable selection procedures in logistic ...

Figure 1: High-density SNP association scan of a 10.4-Mb region on chromosome 6p21 in 194 Vietnamese trios. Figure 2: Fine linkage disequilibrium mapping of a 90-kb interval in the HLA class III ...

Although quantitative researchers in political science and sociology have used stepwise regression to select independent variables and to rank them in terms of their impact on a dependent variable, ...

The first step in conducting a regression-based study is to specify a model. In real applications, this is usually the most challenging step - deciding which variables “belong” in the model and which ...