In this previous study, contributing to class discussions was a significant predictor in the logistic model for success (as designated by pass/fail) with successful students, on average, contributing to discussion more frequently than unsuccessful students.
A history of allergies was not a significant predictor of an asthma diagnosis in the logistic model and it was not significantly associated with asthma diagnosis in the tabular analysis.
The independent (predictor) variables used in the logistic models included demographic and clinical variables from the 60-day program evaluation, including gender, age group, race, ethnicity, presence of adverse events, and participation in the IND protocol.
The criterion for inclusion of predictors in the final logistic model was a 50% relative frequency of selection by bootstrap resampling.
Both variables remained significant predictors in the multivariable logistic model (Table 3).
It treats the multiplicative term between SNPs, along with individual SNP terms, as predictors in the logistic regression model.
Collinearity diagnostics indicated that all predictors in the logistic regression model made unique contributions to classification of smoking status in the ALC cohort.
The number of cattle herds inside a 500 m wide buffer surrounding all land parcels belonging to a farm remained the only significant predictor in the multivariable logistic model of the probability of a confirmed bTB herd breakdown.
However, it did not appear as a significant independent predictor in the multivariable logistic model, possibly because of the widely differing prevalences of TB in the BOLD study sites.
The number of M. bovis positive badgers that were culled outside but within 500 m of the land parcels belonging to a farm remained the only significant predictor in the multivariable logistic model.
