The chi-square test and Fisher’s exact test were used to compare categorical variables. A P-value of < 0.05 was considered significant.References Holden, B. A. et al. Global prevalence of myopia and high myopia and temporal trends from 2000 through 2050. Ophthalmology 123, 1036–1042 (...
The categorical variables within the baseline data of the study subjects were quantified in terms of numerical values and percentages. To evaluate the normality of the data, the Kolmogorov–Smirnov (K-S) test was employed. The means and standard deviations (SD) were calculated for continuous ...
The exclusion criteria for the main study were as follows: (1) type 1 or secondary diabetes; (2) in the perioperative period or having a serious infection or injury; (3) a history of myocardial infarction, angina, stroke, or cerebral infarction; (4) severe renal dysfunction or end-stage ...
The participant characteristics are presented as means (M) and standard deviations (SD) or absolute numbers and percentages and compared with independent t-tests for continuous and χ2 tests for categorical variables. Three burden data are presented by using frequencies, median (Mdn), and M ± ...
For these analyses, the 12-month measurement served as the dependent variable with two independent variables: (1) a categorical variable for treatment group and (2) the baseline C-peptide measurement. A similar analytical approach was used for the other study outcomes of interest including glucagon...
To avoid the biologically implausible assumption of constant fold change in relative abundance for each unit change of the independent variable, each PC was divided into quintiles and included as categorical covariates. Differential relative abundance analyses on rarefied data included 204 of the 325 ...
Demographic and clinical characteristics were compared between patients with and without exposure to diabetes technologies (including CGM alone, insulin pump alone, and combined CGM and pump), using Wilcoxon rank sum tests for continuous variables and Pearson χ2 tests for categorical data. Kruskal-...
Categorical end points relating to hypoglycemic episode counts were analyzed using a negative binomial model with log-link function including the same fixed factors as the primary end point analysis. Owing to convergence issues, region was not included in the week 0 to week 26 analysis. Binary ass...
All statistical tests were two-tailed and conducted at the 5% significance level. For categorical demographic and disease characteristics, the Mantel-Haenszel test with stratification by centre was used. For continuous variables, an analysis of variance (ANOVA) model with effects for treatment, centre...
Baseline clinical and biochemical differences among participants stratified by primary composite outcome status at follow-up were tested by the chi-squared test for categorical variables, the Student’s t-test for normally distributed continuous variables, and the Mann-Whitney test for non-normally ...