The R2 and P values refer to the most parsimonious model fitted for each disease stage.
The most parsimonious model, based on the Akaike Information Criterion, was spatially extrapolated in the GIS.
The most parsimonious model was derived from the full model by removing non-significant pathways using Bayesian information criterion and chi-square tests.
Eventually, we used the most parsimonious model to estimate priming, replenishment, and net C balance at a standardized time point (i.e., 1 year in this study).
Finally, we used the most parsimonious model to identify potential suitable habitat areas on a cell-based map of HNP.
In the most parsimonious model predicting time to incident SAs, baseline NSSI history and hopelessness were significant predictors, adjusting for treatment effects.
We evaluated predictive models for bird use using linear regression and the Cp criterion to select the most parsimonious model.
A dynamic cascade represented the most parsimonious model of how substance use develops.
Average apparent nest survival (28.9%) was similar to the most parsimonious model above (25.0%).
Thus, RGF was considered the most parsimonious model to explain the results.
We performed a second model selection using the most parsimonious model from the precedent section.
