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On admission, characteristics associated with spontaneous gram-negative bacilli meningitis by multivariate modeling were advanced age, history of cancer, nosocomial acquisition of infection, urinary tract infection as distant focus of infection, absence of rash, hypotension, and a high cerebrospinal fluid white-cell count.
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Univariate logistic regression models, supported by multivariate models, were applied to identify groups of people who had adverse interviewing experiences.
Multivariate modeling was conducted by stepwise forward logistic regression, using all covariates significantly associated with typhoid fever in univariate analysis.
Two multivariate models were used by controlling categorical covariates.
Final multivariate models were found by stepwise regression.
Final multivariate models were designed by using a saturated model and manual backwards elimination.
Variables were first examined separately and then multivariate models were constructed by a forward stepwise selection method.
Multivariate models were reduced by one factor at a time to ensure that all the factors remaining in the model were statistically significant at the 5 % level.
ER status was found to violate the proportional hazard assumption; as such, multivariate models were adjusted by age, TNM stage and histopathological grade, and stratified by ER status.
First, univariate odds ratios were estimated for all variables; then three multivariate models were constructed by including gradually new sets of variables.
The candidate predictors for the multivariate model were selected by screening with univariate analysis with a threshold for inclusion of p < 0.25.
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