Variables with p ≤ 0.15 were found to be eligible for multivariate regression analysis.
Variables found to be significant at a level of p < 0.05 were considered eligible for multivatiate regression analysis.
The other laxity indices were not significantly and consistently correlated with self-reported instability, and thus were not considered eligible for linear regression modelling.
Publications eligible for the meta-regression were identified by a PubMed search that included the MESH key words "benzene," "humans," and "leukemia" in combination with either "cohort studies" or "case control studies".
Variables in the bivariate analysis were considered eligible for inclusion in the regression modeling if they were significant at p ≤ 0.10, or if prior evidence or theoretical considerations supported their inclusion.
Among men otherwise eligible for inclusion in metal BP regressions, some were excluded because of cadmium concentrations below the detection limit (DL; n = 41) and/or samples of insufficient weight to assess metal concentrations (7 for cadmium, 72 for mercury).
Explanatory variables that are associated with pneumonia with a p value of less than 0.2 will be eligible for inclusion in a multivariate regression model.
Covariates found to be associated with attributable mortality on univariate analysis at a level of significance P < 0.1 were eligible for inclusion in a multivariate logistic regression model using a backward selection procedure.
Covariates found to be associated with bacteremia on univariate analysis at a level of significance P < 0.2 were eligible for inclusion in a multivariate logistic regression model using a backward selection procedure [ 21].
