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1                                                             Categorical variables were analyzed by the chi(2) test and co
2                                                             Categorical variables were analyzed with Pearson chi(2) tests
3                                                             Categorical variables were compared by using the exact condit
4                                                             Categorical variables were compared using chi-square/Fischer'
5                                                             Categorical variables were compared using the chi-square test
6                                                             Categorical variables were evaluated by using the Fisher exac
7 ned variables, the final risk-assessment model contained 10 categorical variables including congestive heart failure, par
8                 Descriptive statistics were used to analyze categorical variables in terms of size and proportions.
9 pared using t tests and chi-square tests for continuous and categorical variables, respectively.
10                                             Dichotomous and categorical variables were analyzed using Pearson chi-square
11 Continuous variables were compared with Student t test, and categorical variables were compared with the Fisher exact tes
12 e and associations with longitudinal change in cytokines as categorical variables were analyzed using multivariable analy
13 development of neurological and autonomic manifestations as categorical variables.
14 variables-in the case of age or body mass index (BMI)-or as categorical variables in the case of sex and alcohol consumpt
15 imates when continuous effect modifiers were represented as categorical variables.
16          We used chi(2) and Fisher's exact tests to compare categorical variables and the t test or the Mann-Whitney U te
17 riables using Pearson correlation coefficients and compared categorical variables using the Fisher exact test.
18  were stratified into cohorts in relation to the considered categorical variables and data were compared by using the Man
19                   However questionnaire data often contains categorical variables and common statistical model assumption
20 t cards on referral decisions was assessed using chi(2) for categorical variables and t test for continuous variables.
21                               Proportions were analyzed for categorical variables; means and SDs were analyzed for contin
22 ession for continuous variables and logistic regression for categorical variables, and interrater and intrarater reliabil
23 h Kaplan-Meier curves and a corresponding log-rank test for categorical variables and Cox regression for continuous varia
24 l analyses were performed by Pearson's chi-squared test for categorical variables and student's t-test for quantitative v
25 essed by means of the Pearson chi2 or Fisher exact test for categorical variables and the two-sample t test for continuou
26 finding, performed Fisher exact test or chi-square test for categorical variables between the cohort that did and did not
27 m test for nonnormally distributed, and Chi-square test for categorical variables were used in univariable comparisons.
28 yzed using Pearson chi-square test or Fisher exact test for categorical variables, Mann-Whitney U test for continuous var
29 ests for continuous variables and the Fisher exact test for categorical variables.
30 us variables and Pearson chi2 test or Fisher exact test for categorical variables.
31 Student t test for continuous variables and chi(2) test for categorical variables.
32 nt t test for continuous variables and the McNemar test for categorical variables.
33 ent t test for continuous variables and the chi(2) test for categorical variables.
34  t tests for continuous variables and Fisher exact test for categorical variables.
35                                      Fisher exact tests for categorical variables, t test for continuous variables, and K
36 or continuous or ordinal variables and chi-square tests for categorical variables.
37                          The Fisher exact test was used for categorical variables.
38 uous variables and the Pearson chi-square test was used for categorical variables.
39                          The best predictive model had four categorical variables: hemodynamic support (ECMO, ventilator
40                                              Differences in categorical variables were measured by using the Fisher exact
41 ply our method to two empirical datasets containing largely categorical variables: an anthropological survey of rice farm
42            The adjusted incidence rate ratios of these nine categorical variables were scaled and summed to create the ri
43                                             Distribution of categorical variables and survival rates across cancer type w
44 ation between lipid concentrations (either as continuous or categorical variables) and incident MACEs (N = 6,901; n cases
45  None of the renal markers, modeled as either continuous or categorical variables, correlated with FMD.
46 whether UIC and the outcomes were analyzed as continuous or categorical variables.
47 aracteristics were compared by chi(2) or Fisher exact test (categorical variables) or Wilcoxon rank-sum (continuous varia
48 simplified prognostic scoring rule (ProVent 14 Score) using categorical variables was created in the development cohort a
49 A-SPDE database, including the difficulties of dealing with categorical variables and triangulating effectively to analyz
50 le scores, followed by multivariable regression models with categorical variables based on quartiles of the distribution