Analyzing numerous classes of variables, DecisionSet ® has
identified predictor variables for win rates, settlement amounts, awards and attorney - litigant decision - making errors.
Not exact matches
Seven environmental
variables, which were previously
identified as potential
predictors for podoconiosis in Ethiopia (Deribe et al., 2015b), were used to model podoconiosis prevalence.
Goodess et al. suggest that a more direct, but untested, approach could be to construct conditional damage functions (cdfs), by
identifying the statistical relationships between the extreme events themselves (causing damage) and large - scale
predictor variables.
In order to explore and
identify the structural and causal relationship among the
variables, Structural Equation Modeling (SEM) was performed to examine how the data fits a hypothetical model for romantic inclination and romantic relationship status (love status) as outcomes, involving the selected
predictor variables.