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Adjusted R²-values and partial R² values for individual predictors were averaged over all selected models.
None of the overall models (ps > 0.203) nor individual predictors (ps > 0.069) were significant.
In both cases, the overall models were not significant (ps > 0.457), nor were any of the individual predictors (ps > 0.194).
The left panel illustrates consensus of the three tools and right panels show distributions for individual predictors.
Such invalid responses not only bias prevalence estimates but may also obscure associations with individual predictors.
We propose a novel method of constructing confidence intervals (and assigning p-values) for coefficients of individual predictors.
Individual time courses from these seed ROIs were sampled from each of the sighted participants, z-normalized and used as individual predictors in group random-effect GLM analysis.
The study then proceeded to test the individual predictors against RE.
We used Bayesian logistic regression with uninformative priors to determine the strength of individual predictors.
First, univariate analyses will be run to determine individual predictors of conversion to BP-I.
In general, the less correlation between the individual predictors, the higher the gain in accuracy.
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