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A Process Performance Model is a specific type of Calibrated Predictive Model that uses Process Performance Baselines (at least 2) to establish and quantify the relations between Measures.
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The goal of epidemiology is to elucidate and quantify the relation between potential risk factors or exposures and disease, in order to prevent the onset and/or the progression of illness.
Thus, this separation in our model between these two parts allows us to analyze behavioral data from different tasks and quantify the relation between the derived subjective distributions.
Einstein mathematically expressed the statistical nature of the three possible radiative transition routes (spontaneous emission, stimulated emission, and absorption) with the so-called Einstein coefficients and quantified the relations between the three processes.
Specifically, they propose and measure two indicators: degree of city cohesion and degree of city outreach, to quantify the relations within a city and the relations among different cities.
Odds ratios (OR) and 95% confidence intervals (95% CI) were calculated to quantify the relations between the exposures of interest and the occurrence of symptoms and asthma.
Mutual information for transcriptional levels was used to quantify the relations between genes.
Objectives: Using study-level data from published RCTs that report both SOFA and mortality, our objective was to quantify the relation between SOFA endpoints and mortality and to identify which SOFA abstraction best reflects between-group mortality differences.
Because of this limitation, we performed a comprehensive systematic review and meta-analysis to quantify the relation of physical activity to bladder cancer risk.
Objective To examine and quantify the potential dose-response relation between fruit and vegetable consumption and risk of all cause, cardiovascular, and cancer mortality.
To partially account for this effect, we employed the pathways in KEGG [ 22] and KEGG enrichment score [ 14, 34, 35] to quantify the relation between drugs and pathways in KEGG.
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