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The validation of the PREDICT risk prediction model utilized data from a completely independent case-cohort for which KI67 had been measured in a completely different laboratory.
This model utilized data on system-specific escapements, system-specific age compositions, district catch, and genetic estimates of catch composition (Dann et al. 2009) to estimate parameters for run size at length, gear selectivity, and stock availability.
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The model utilizes data provided by GPS receivers onboard satellites CHAMP (~100,000 hmF2 values), GRACE (~70,000) and COSMIC (~2,000,000).
Thus, cloud computing emerges as the preeminent model, utilizing data centers and high-performance clusters, enabling remote users to access and query subsets of the data efficiently.
This model utilizes data from incompletely validated assays supplemented with data derived from other sources for classification of VUS for clinical purposes.
The expression values must be imported as node attributes and due to the statistical model utilized, only data with at least two replicates per condition can be processed.
This simulation model was developed utilizing data from two frontal impact 20 g/48 km/h sled tests, which consisted of identical, adult manual wheelchairs secured with 4-point tiedowns, occupied with a 50th percentile adult male anthropomorphic test device (ATD), restrained with a 3-point occupant restraint system.
The model utilizes input data from thermal analysis as a means for calibrating unknown kinetic constants, and has proved useful to describe the solidification behaviour of hypoeutectic Al Si alloys under different inoculation conditions.
We sought to develop a predictive model utilizing administrative data to accurately identify patients with COPD.
Coefficients for the best performing model utilizing administrative data are shown in Table 3.
However, it is consistent with results from a cost-effectiveness model utilizing efficacy data from three large randomized double-blind studies and US unit costs (Brown et al. 2004).
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