As much as 60% of the variability in trembling aspen productivity was explained when both biological and permanent site variables were considered in stepwise regression models.
Variables with a high univariate correlation and with P < 0.10 were considered in stepwise logistic regression analyses with a cut-off P- value of < 0.05.
The same set of covariates was considered, and stepwise procedures were performed, as before.
The development of CC is considered a stepwise process with the accumulation of different genetic and epigenetic alterations.
The variables which were significant at P < 0.25, at Bivariate analysis were considered for stepwise logistic regression analysis.
When the allele size differences strictly corresponded to the variation in the number of repeat-units, it was considered as stepwise distribution.
The recommendations on a road map towards AOP-based DNT testing is considered a stepwise approach, operating initially with incomplete AOPs for compound grouping, and focussing on key events of neurodevelopment.
Potential confounding variables including age, gender, education, disease duration, age of illness onset and weight at baseline were entered first (forced entry, Step 1); rs8050136, rs1421085, rs1421085 and rs9930506 genes were considered next (stepwise, Step 2), and rs9939609 gene was the only variable that entered into the regression model.
* Sample size is estimated using population weights † 95% CI were calculated using bootstrapping technique Unadjusted associations between exclusive breastfeeding and potential predictors are shown in Table 2. Out of the 30 variables that were considered for stepwise logistic regression, 12 variables were retained in the final model (Table 3).
In addition, we consider a stepwise regression process.
