Methods of variable selection in regression modeling
Methods of variable selection in regression modeling
Simulation was used to evaluate the performances of several methods of variable selection in regression modeling: stepwise regression based on partial F-tests, stepwise minimization of Mallows' C p statistic and Schwarz's Bayes Information Criterion (BIC), and regression trees constructed with two kinds of pruning. Five to 25 covariates were generated …