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 ...

Quantification of the dependence of the odds ratio on concomitant variables associated with each of several 2 x 2 tables, using a regression model proposed by Zelen [1971], is an important tool for ...