Sentence examples for subjects were generated from inspiring English sources

The error-free, baseline TACs (19 framin/90 min) simulating the target ROI of the NC and AD subjects were generated by using the 4P model with parameter set (K 1 = 0.180 mL/g/min, k 2 = 0.180/min, k 3 = 0.018 and 0.036/min for the NC and AD subjects, respectively, and k 4 = 0.018/min; typical values for [11C]PIB) and averaged (N = 20) input function of [11C]PIB.

Three independent bootstrap sets with 175, 350 and 350 subjects were generated.

P-values to compare proportions between case and control subjects were generated using the conditional logistic regression model.

For each covariate, if continuous, two subjects were generated with extreme covariate values (5th and 95th percentile); if categorical, one subject from each category was created, with other covariates fixed at median (continuous) or at certain category (categorical).

The BP map in each subjects was generated by Pmod 2.9 (Pmod Technologies Ltd., Switzerland), based on the simplified reference model [69], [70] using the ipsilateral cerebellum of the stimulated hemisphere as a reference region.

A population dataset of 50 subjects was generated using Monte-Carlo simulation in ADAPT 5.

A randomization list for the subjects was generated before the trial.

Genotype data for subjects was generated on two different array platforms, 105 individuals on Illumina CytoSNP (299,173 SNPs) and 96 on Illumina 300k chips (300,299 SNPs).

The database of virtual subjects was generated by varying arterial and cardiac parameters of the blood flow model by a range of physiological values for healthy subjects taken from the literature.

The means and coefficients of variation for each parameter are summarized in Table 2. To determine the prevalence of severe neutropenia in specific populations by in silico simulation, each parameter in the PK/PD model for virtual subjects was generated as described.

As the major interest of our study concerned the different effect of medication or saline on painful stimulation, contrast images for every subject were generated to identify regions showing increased activation during painful stimulation compared to air puffs in medication vs. saline conditions [Saline session ("ammonia > air puffs") > Medication session ("ammonia > air puffs")].