Differences in characteristics between the two cohorts were evaluated using the Chi-square test or the Fisher’s exact test (if the expected frequency is lower than five) to compare categorical variables and Mann-Whitney U test to compare continuous variables. Univariate and multivariate logistic regression analyses were conducted to assess the potential independent risk factors for pneumonitis associated with nivolumab. All variables with P-values < 0.1 in the univariate analysis were entered into the multivariate analyses. All tests were two-sided with a significance level of P < 0.05. All analyses were preformed using JMP version 11.0 statistical software (SAS Institute Inc., Cary, NC, USA). The analysis cut-off date was 31 July 2018.
Jmp version 11.0 statistical software
Manufactured by SAS Institute
Sourced in United States
JMP version 11.0 is a statistical software package developed by SAS Institute. It provides data analysis and visualization capabilities for users to explore and understand their data. The core function of JMP is to enable users to perform statistical analyses, build models, and generate reports in an interactive, graphical environment.
Automatically generated - may contain errors
Lab products found in correlation
4 protocols using jmp version 11.0 statistical software
1
Nivolumab-Associated Pneumonitis Risk Factors
2
Surgical Outcomes Comparison in Astigmatism
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The age, BCVA, IOP, and three astigmatism parameters were compared among the four surgical groups by one-way analysis of variance (ANOVA) followed by a comparison between each pair of groups using the post hoc Student’s t-test. In ANOVA, P<0.05 was considered significant. In the post hoc test, based on Bonferroni’s method to correct multiple comparisons, P<0.0083 and P<0.0017 were considered significant at the probability levels of 5% and 1%, respectively. Sex was compared among the four surgical groups using the chi-square test. The possible correlations among the SIA magnitude, postoperative BCVA, and IOP were assessed using the Spearman’s rank correlation test; to correct multiple comparisons, P<0.00167 and P<0.0033 were considered significant at the probability levels of 5% and 1%, respectively. All continuous data were expressed as the means ± standard deviations. All statistical analyses were performed using the JMP version 11.0 statistical software (SAS Institute, Inc., Cary, NC, USA).
3
Comparative Analysis of Tonometer Measurements
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The differences among the IOPs assessed using the three tonometers were compared using the paired t-test. Possible correlations between three devices, their differences, i.e., NCT minus GAT (IOPNCT-GAT), RBT minus GAT (IOPRBT-GAT), and RBT minus NCT (IOPRBT-NCT), age, and CCT were assessed by linear regression analyses. The effects of age and CCT on each tonometer were further assessed using a mixed-effects regression model in which each patient’s identification number was regarded as a random effect, and both age and CCT were regarded as fixed effects. All continuous data were expressed as the mean ± standard deviation (SD). All statistical analyses were performed using the JMP version 11.0 statistical software (SAS Institute, Inc., Cary, NC). p < 0.05 was considered statistically significant.
4
Comparison of High-Intensity Interval Training and Continuous Exercise
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All variables are presented as means and ± SD. Values for concentrations of GH and lactate were assessed using a paired t-test in order to compare the differences between pre-test and each time point after the test. We mainly compared the differences between pre-test and immediately after the test. In order to compare HCE with CE, a two-tailed pared t-test was used. Because the pre values were different between HCE and CE, the rate of change was evaluated for IL-6. All the statistical analyses were performed using JMP Version 11.0 statistical software (SAS Institute Inc., Cary, NC, USA), and p-values less than or equal to 0.05 were considered to be statistically significant.
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