Five studies met the inclusion criteria, with data available for 73 individual patients.
However, it is difficult to directly compare clinical trial data, potentially confounded by entry and exclusion criteria, with data from epidemiological reports that may comprise a broader spectrum of patients.
The main idea is to show how all these different frameworks converge to the optimization of a compound criterion with a data adequation part and an a priori part.
The constitutive model and fracture criterion are calibrated with data from tension and compression tests.
The r2 > 0.8 criterion was used with data from the 1000 Genomes project (Abecasis et al., 2010).
Overall, there was good compliance with the defined diagnostic criteria with source data verification performed for all sites; this ensured that clinical diagnosis of preeclampsia was largely consistent between centers.
12 Of 3676 participants meeting these criteria with pertinent data on the study measures, 329 were excluded due to incomplete fitness testing, abnormal exercise ECG, less than 1 year of follow-up and underweight status.
Analyses based on the last 12 months of care documented in each patient for 47,227 patients who fulfilled the inclusion criteria with complete data and a pediatric onset (younger than 20 years of age) of either CFRD (n = 381) or T1DM (n = 46.846) were performed.
Collected data from various criteria are compared with data estimated using the local and the global resilience indicators, to give both instantaneous and over-time Human Machine System states.
The trustworthiness of our analyses was assessed using four criteria: prolonged engagement with data, credibility, transferability, and confirmability [28] [29].
