Sentence examples for subjects were compared using from inspiring English sources
The two groups of subjects were compared using t test for all the visual stimulation pattern.
In a randomized double blind design the effects of placebo and sodium lactate administration in 14 female and 16 male patients with panic disorder and 23 healthy control subjects were compared using the Acute Panic Inventory (API) score and derived formal criteria for a panic attack.
Associations between Ag-driven responses by subjects were compared using 2-tailed Mann-Whitney tests (nonparametric data).
The 3 groups of subjects were compared using generalised linear regression assuming a Tweedie distribution, which allows the zero inflation (caused by non-responders) to be modeled [31].
Cytokine/chemokine levels in seronegative control subjects and treated and untreated AHI subjects were compared using a Kruskal-Wallis non-parametric test.
Demographic variables between patients with schizophrenia and control subjects were compared using two sample Student's t-test for continuous variables and chi-square test for categorical variables.
Intravenous drug use between HCV-seropositive and seronegative subjects was compared using a Fisher's exact test.
The distribution of FCGR3 copy numbers between patients with SLE or patients with RA and healthy control subjects was compared using chi-square and Fisher's exact tests.
The proteome of urine collected from 30 ADPKD patients and 30 healthy subjects was compared using a combined IEF-LC-MS-MS/MS relative quantitation of iTRAQ labeled tryptic peptides.
To examine differences in immunobiological processes between the FGT mucosal surface and blood, CMCs and PBMCs from the same subject were compared using whole genome expression arrays.
In a second level random effects group analysis, individual regionally specific effects of conditions for each subject were compared using a within-subject ANOVA (2×2 design with the factors regulation condition (regulation, no regulation) and valence (negative, neutral) with non-sphericity correction resulting in a t-statistic for every voxel.
