1977
DOI: 10.2307/2286904
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Comparison of Stopping Rules in Forward "Stepwise" Regression

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Cited by 340 publications
(260 citation statements)
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“…Separate equations were fitted for subjects without carotid atherosclerosis at the 1990 baseline (incidence of non-stenotic atherosclerosis during follow-up: yes vs no) and in those with pre-existing lesions (incident stenotic atherosclerosis during followup: yes vs no). The p values for entry and removal of variables, were set at 0.10 and 0.15 [42,43]. The analysis selected variables for inclusion among all those given in Table 1.…”
Section: Methodsmentioning
confidence: 99%
“…Separate equations were fitted for subjects without carotid atherosclerosis at the 1990 baseline (incidence of non-stenotic atherosclerosis during follow-up: yes vs no) and in those with pre-existing lesions (incident stenotic atherosclerosis during followup: yes vs no). The p values for entry and removal of variables, were set at 0.10 and 0.15 [42,43]. The analysis selected variables for inclusion among all those given in Table 1.…”
Section: Methodsmentioning
confidence: 99%
“…The first model included all the variables found significant at P< 0.20 in the univariate level of analysis. (A Pvalue of 0.20 was used as the cut-off since using a more traditional level [P < 0.05] often failed to identify variables known to be important (Bendel and Afifi 1977). Further variable selection in the model was conducted by using backward elimination.…”
Section: Ethicsmentioning
confidence: 99%
“…Demographic variables such as age and gender and clinical variables such as Karnofsky status, time since cancer diagnosis and months using morphine and creatinine and albumin levels were included in the model. Variables found in the univariate analysis to be significantly associated with morphine dose at a level of p<0.20 (Bendel and Afifi 1977), were next entered into a multivariate logistic regression analysis with the purpose of building a model to determine the predictive value of genotype on morphine dose. Results showed that joint Val158Met and A118G genotypes, months using morphine and time since cancer diagnosis as significant variables in predicting morphine dose.…”
Section: Multivariable Regression Analysesmentioning
confidence: 99%
“…To ensure that any potentially important predictors were not excluded and also because of a low number of predictor variables, any variables with the borderline significance level of 0.10-0.25 were also included in the multivariate analysis. 15 The subset for the final model was then analyzed with multiple logistic regression analysis to test which factors could be dropped from the model and finally determine the risk factors significantly associated with STH infection. The final model was interpreted by using an adjusted odds ratio (OR) and 95% confidence interval (CI).…”
Section: Introductionmentioning
confidence: 99%