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315 protocols using jmp 15

1

Evaluating PEEP Effects in ARDS Patients

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Categorical variables were expressed as absolute (relative) frequency. Continuous variables were synthesized as median [interquartile range, IQR], as appropriate. The Wilcoxon test was used to compare the clinical characteristics of patients on ECMO with C-ARDS and NC-ARDS. The Wilcoxon signed rank test was used to compare changes in respiratory and EIT parameters before and after the PEEP change and to compare overdistension and de-recruitment at different PEEP levels. Overdistension and de-recruitment were computed using PEEPpost as a reference. The Bonferroni correction was used to adjust for multiple comparisons. A p-value < 0.05 (two-tailed) was considered statistically significant. Statistical analysis was performed with the JMP 15 software (SAS, Cary, NC, USA). A p-value < 0.05 (two-tailed) was considered statistically significant. Statistical analysis was performed with the JMP 15 software (SAS, Cary, NC, USA).
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2

Quantitative Evaluation of Magnetic Resonance Imaging Biomarkers

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Statistically significant differences were evaluated using JMP15 software (SAS Institute, Cary, NC, USA). Differences between gHBP and g+HBP images were determined using the two-sided Wilcoxon signed-rank test. Differences of P < 0.05 were considered statistically significant. Interobserver reliability of the recorded SNR and the CNR values was assessed using the intra-class correlation coefficients (ICCs) and interpreted where excellent: > 0.90, good: 0.75 to < 0.90, moderate: > 0.50 to < 0.75, and poor: < 0.50.23
For qualitative analysis, we calculated the interobserver agreement using the weighted kappa statistic. A kappa statistic in the range of 0.81–1.00 was interpreted as excellent-, 0.61–0.80 as substantial-, 0.41–0.60 as moderate-, 0.21–0.40 as fair-, and 0.00–0.20 as poor agreement.24
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3

Optimization of Additive Manufacturing

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Initial trials were performed to determine the range of formulation and processes variables to understand their interplay. The selected independent variables were laser scanning speed (X1) 400−500 mm/s, CCS (X2) 0−15%, and surface temperature (X3) 100−110 °C. The Box−Behnken experimental design matrix was created to understand the effect of independent variables on the dependent variables. The dependent variables selected were weight (Y1), hardness (Y2), disintegration time (DT) (Y3), and dissolution (Y4). Fifteen runs were generated using JMP 15 software (SAS, Cary, NC) with three center points to assess the reproductivity of the experiment (Table 1).
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4

Evaluating Diagnostic Potential of Sphingolipid Genes

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Those features that were found significant were further investigated to discover their predictive capability. To evaluate the diagnostic power of the devised panel of genes responsible for sphingolipid metabolism, receiver operating characteristic curves (ROC) were constructed, the area under the curve (AUC) was calculated, and the optimal cut-off values and Youden indexes were determined. Statistical significance was assumed when p-values were less than 0.05. All statistical analyses were performed using JMP 15 software (SAS, Cary, NC, USA).
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5

Proinflammatory Cytokines in SLE Patients

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Data are presented as the mean ± SD unless otherwise noted. Immunological biomarkers and proinflammatory cytokine levels were compared using paired t test for continuous variables or the Wilcoxon signed-rank test for non-normally distributed data. The relationship between the clinical SLE improvement index and the baseline levels of proinflammatory cytokines and the change in proinflammatory cytokine levels before and after HCQ administration was analyzed using the Wilcoxon rank sum (Mann–Whitney U) test. The association between the clinical SLE improvement index and the rate of change in proinflammatory cytokines was analyzed using the Mann–Whitney U test. The association between pro-inflammatory cytokine levels and clinical variables was determined using correlation analyses (Spearman’s correlation coefficient). All p values were two-sided, and p < 0.05 was considered significant. Data were analyzed using JMP 15 software (SAS Institute, Cary, NC, USA).
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6

Evaluating Objective and Subjective Symptom Changes

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All data are presented as mean ± SD. The paired t-test, Wilcoxon signed-rank test, Student’s t-test, and Mann–Whitney U test were used to evaluate changes in subjective and objective symptoms as required. All tests were two-sided, and the statistical significance was set at p < 0.05. All statistical analyses were performed using the JMP 15 software (SAS Institute, Cary, NC, USA). The number of samples was determined on the basis of previous reports [14 (link),15 (link),16 (link)]. Hence, we set a probability of 0.05 (two-sided), a power of 80%, and an effect size of 0.5. We estimated that the ideal number of participants for this study should be at least 239.
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7

HCN Channel Activation Modulation

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All statistical analysis was performed using JMP 15 software (SAS Institute, Cary, NC). Normality was tested using the Shapiro-Wilk test. The log of the deactivation time constant at –50 mV was used for statistical analysis to ensure the data were normally distributed. To prevent biasing of the results, all data were included except for cells showing large changes in leak or access resistance during the recording, or those for which the access resistance was >10 MΩ at any point during recording. Tests for differences in the average midpoint of activation for a given HCN channel construct in the presence of LRMP and/or 1 mM cAMP were performed with a 2-way ANOVA. The main independent variables were the absence or presence of LRMP and the absence or presence of 1 mM cAMP in the pipette solution. Differences in the effects of cAMP in the absence or presence of LRMP were analyzed using an interaction term between the main independent variables. For FRET experiments, the recordings of Cerulean tagged HCN4 1–125 and HCN4 125–260 co-expressed with free Citrine were pooled as a control group. p<0.05 was used as the cut-off for a significant effect. All comparisons meeting this criteria are indicated in figures by an asterisks, with exact p-values given in the manuscript text or Tables 1–3.
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8

Survival Analysis of Clinical Outcomes

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Continuous variables were compared using Student's t‐test or the Mann–Whitney U test. Categorical variables were compared using the χ2 test or Fisher's exact test. Univariate and multivariate survival analyses were performed using Cox proportional hazard models. Cumulative overall survival (OS) and recurrence‐free survival (RFS) rates were calculated using the Kaplan–Meier method, and differences between curves were evaluated using the log‐rank test. OS was calculated in years from the date of surgery to the date of last follow‐up or death. Statistical significance was set at P < 0.05 (two‐sided). All statistical analysis was performed using JMP15 software (SAS Institute).
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9

Statistical Analysis of Implant Bending

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The mean values and standard deviations were calculated in each analysis. Statistical analysis was performed using the one-way analysis of variance (ANOVA) with a post hoc Tukey HSD multiple comparison test. The analysis of the implant bending moment was statistically compared between MP- and DP-ISRPD using the Student t test; p < 0.05 was considered statistically significant. All statistical analyses were performed using JMP15 software (SAS Institute Inc., Cary, NC, USA).
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10

Statistical Analysis of Experimental Data

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Data were obtained from a minimum of three replicates for each experiment. All statistical analyses were performed by using the JMP15 software (SAS Institute, Cary, NC, USA). Data were tested for normality by using the Shapiro–Wilk test and were normalized when necessary. ANOVA, followed by Student’s t-test, was used for mean comparisons between two groups, and Least Square Means followed by Tukey HSD when more than two groups were compared. A p < 0.05 value was considered to indicate a significant difference between groups.
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