Jmp software version 13

Differences in the baseline clinical characteristics of the bilateral occlusion group and the malocclusion group were evaluated. The Mann-Whitney U test was used to compare differences in the continuous variables between the two groups. Where appropriate, either the Fisher exact test or chi-squared test were used to compare differences in categorical variables between the two groups. A multivariate logistic regression analysis was used to adjust for the potential confounders of age, gender, CFS on admission, APACHE II score, and neurological disorders on admission. This yielded an adjusted odds ratio (OR) for ADL loss and the occurrence of delirium after malocclusion as the primary exposure. A set of these variables was chosen a priori, based on previous reports [16 (link),17 (link),21 (link),22 (link),24 (link)] and biological plausibility. Although recent studies on ICU patients and frailty have often applied the CFS to those over 18 years of age [5 (link)] as the present study, the CFS is originally designed as a tool to assess frailty in patients over 65 years of age. Therefore, we conducted subgroup analysis for the patients 65 years or older. All statistical analyses were performed using JMP software version 13 (SAS Institute, Cary, NC, USA). A two-sided probability value of <0.05 was considered statistically significant for all analyses.

Data are expressed as the means ± standard deviation. Statistical significance of differences in mean values was assessed using one-way analysis of variance, followed by Sheffe’s t-test. The serum Trp concentrations are presented as medians and ranges. The Mann–Whitney U-test was used for group comparisons, and a chi-squared test was used to compare categorical variables. A value of p < 0.05 was considered statistically significant. All statistical analyses were performed using the JMP software, version 13 (SAS Institute, Cary, NC, USA).

Clinical laboratory values were not normally distributed; therefore, the Mann–Whitney U test was used to analyze continuous scales. Fisher’s exact test was used to analyze nominal scales. All the recorded p-values were two-sided, and differences were considered significant at p < 0.05. All analyses were performed using the JMP software version 13 (SAS Institute Inc., Cary, NC, USA).

Patients’ characteristics, clinical factors and operative factors were compared by chi-square test for categorical data and Mann–Whitney U test was used for continuous data. The diagnostic accuracy for the prediction of impacted stones was compared by using ROC curve analyses. Univariate and multivariate logistic regression analyses were performed to identify predictive factors associated with impacted stones. Multivariate logistic models were compared using the Akaike information criterion (AIC). The model with the smallest AIC was considered to be the most appropriate. The identified predictive factors were made into categorical variables by optimal cut off from ROC curves analyses and we examined the risk of impacted stones.
Two-sided P values were used, with significance set at 0.05. Data analyses were performed using JMP software version 13 (SAS Institute, Cary, NC, USA).