For this reason predicted motif models that did not pass the MotifComparison threshold were retained if both the species-dependent positive predictive value and species-dependent sensitivity (for definitions see below) were above 50% or if one of the two measures was higher than 80%.
Considering these fundamental aspects of mixed layer dynamics in light of annual cycles of heating and cooling, behavior that is site and latitude dependent, and lake size, a predictive understanding of mixed layer depth and frequency of mixing can be developed.
Three sets of three multiple linear regressions were performed using SF-12 and EDQOL scores as predictors and change in DOR, WSAS, and EDE global scores from baseline to (i) post-treatment, (ii) 6-month follow-up, (iii) and 12-month follow-up as dependent variables (predictive validity and sensitivity).
However, it is not uncommon that prediction models derived by these methods perform poorly[ 2], with composition and predictive performance strongly dependent on characteristics of the derivation dataset.
This idea is extended by them in [11] towards a fully dynamic impact assessment, where entities of timeslice t i depend on entities of timeslice t i−1, i.e., a resource dependency model is a time-dependent model evolving over time with time-dependent, "conscious" nodes allowing for retrospective and predictive analyses of potential mission impacts.
If there is a nonrandom relationship between predictors and dependent variable, the predictive PLS model, constructed on the reordered data, should have a predictive power (Q) that decreases as the correlation between Y1 and Y r decreases.
Moreover, syntactically both words can be attributive, resultative, and predictive.
It is this receptor that is measured as an important prognostic and predictive biomarker in hormone-dependent breast cancer.
For this analysis, the estimations will be adjusted by baseline factors such as demographic and predictive factors for the other dependent variables.
The state dependent model predictive control is derived by minimizing the control error of states and control roughness of control input for a safe, smooth and fuel efficient approaching trajectory.
