1977
DOI: 10.1080/01621459.1977.10479905
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Comparison of Stopping Rules in Forward “Stepwise” Regression

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Cited by 381 publications
(316 citation statements)
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“…We used the Mann-Whitney U test to compare quantitative variables. The third statistical step consisted of a logistic regression analysis [2] with presence of SI (1 when present, 0 when absent) as dependent variable. The independent variables in this analysis were selected from the bivariate analysis with a 0.25 level as a screening criterion for selection of candidate variables.…”
Section: Methodsmentioning
confidence: 99%
“…We used the Mann-Whitney U test to compare quantitative variables. The third statistical step consisted of a logistic regression analysis [2] with presence of SI (1 when present, 0 when absent) as dependent variable. The independent variables in this analysis were selected from the bivariate analysis with a 0.25 level as a screening criterion for selection of candidate variables.…”
Section: Methodsmentioning
confidence: 99%
“…The covariates were selected for inclusion in the model using forward stepwise selection methods from SAS (2002) software packages. The entry and removal p values were set at 0.15 according to the suggestions of Bendel et al [21] and Costanza et al [22]. In their studies, they indicated that the use of a p value of 0.05 tends to exclude too many important covariates and one should choose a level of significance of 0.15.…”
Section: Methodsmentioning
confidence: 99%
“…Covariates were selected for inclusion in the analysis by using forward selection methods from SAS (2002) software packages. The p value for entry and removal of variables were set at 0.15 according to suggestions by Bendel et al [18] and Costanza et al [19]. In their studies, the authors indicated that the use of a p value of 0.05 tends to exclude too many important covariates (i.e., type I statistical error) and that one should choose a level of significance of 0.15.…”
Section: Methodsmentioning
confidence: 99%