The model utilizes data provided by GPS receivers onboard satellites CHAMP (~100,000 hmF2 values), GRACE (~70,000) and COSMIC (~2,000,000).
This model utilizes data from incompletely validated assays supplemented with data derived from other sources for classification of VUS for clinical purposes.
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.
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.
This paper presents calibration and validation of a lot scale rainwater tank system model using XP-SWMM utilizing data collected from two rainwater tank systems located in Western Sydney, Australia.
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).
11 such models have been tested utilizing data measured in Beer Sheva, Israel.
