The results show effects of underspecification, supporting models using underspecified lexical entries (e.g. Lahiri & Marslen-Wilson, 1991; Reetz & Lahiri, 2001) over those using fully specified lexical entries (e.g., McClelland & Elman, 1986).
Two separate models using stepwise conditional forward entry were constructed - one for demography, comorbidities, clinical presentations, and laboratory tests on admission, and one for complications including organ failures and infections, if p < 0.1 in univariate analysis.
Automakers relish the idea of using entry-level models to pull in first-time buyers who, they hope, will then stay with the brand as their tastes and bank accounts mature.
The independent predictors of CI-AKI were identified by a backward-stepwise logistic regression model using an entry level of significance of 0.1.
Specifically, all variables that were associated with policy status in bivariate analyses at P < 0.10 were entered into the model using forced entry.
In order to test whether the cognitive constructs would uphold their predictive value after correcting for neuroticism and extraversion, personality traits were also entered into the model using forced entry.
Significantly correlated variables (p < 0.05) including maternal leptin measured in early and late pregnancy (which may have influenced cord leptin levels) were subsequently analysed by simple linear regression, with each anthropometric measure as the dependent variable, and then imputed into multiple linear regression models using a combination of forced entry and backwards stepwise procedures.
Variables shown to be associated with AD in univariate analyses, with p < 0.1, were entered into logistic regression models, using forwards and backwards stepwise variable entry.
All these variables were entered in the Logit model using forward stepwise entry function in the SPSS software.
To determine risk factors independently associated with mortality or neurological deficits, clinical and laboratory parameters with a p value < 0.1 at univariate analysis were entered in a logistic regression model using a stepwise entry system.
