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Jmp statistical software version 13

Manufactured by SAS Institute
Sourced in United States

JMP statistical software version 13 is a data analysis and visualization tool developed by SAS Institute. It provides users with a suite of statistical analysis and modeling capabilities for exploring, analyzing, and presenting data.

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Lab products found in correlation

32 protocols using jmp statistical software version 13

1

Analyzing physical activity patterns

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Data were analyzed using JMP statistical software version 13.2.0 (SAS Institute Inc., Cary, NC, USA). Results were presented as numbers and percentage for categorical data and as mean and standard deviation for continuous data, respectively. Shapiro–Wilk test was performed to test data distribution. The Wilcoxon two-sample test was used to test inter-group differences in MVPA with respect to ethnicity, gender, and body weight group, and the differences in MVPA between grade groups were assessed by using the Steel–Dwass test. The Wilcoxon Matched-Pairs Signed Ranks Test was used to test the differences in MVPA between weekends and weekdays. Percentage values of inter-group differences were tested by the chi-squared test. Partial correlation was used to analyze the trend of MVPA with age. Statistical significance was set at p < 0.05.
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2

Leak Rates in Sleeve Gastrectomy Reinforcement

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Data were extracted by an individual from original sources to fields within an Excel (Microsoft, Redmond, WA, USA) database. Data manipulation and analysis was conducted using JMP statistical software, version 13.2.0 (SAS Institute Inc., Cary, NC). Criteria-based data were aggregated from selected studies representative of the 5 LSG reinforcement options of interest. Select demographic variables of age,  % females, and body mass index (BMI, kg/m2) and the surgical technique variables of bougie size and distance from pylorus were summarized using mean, standard deviation, range, and the percentage of studies reporting on each variable. The overall leak rate for LSG patients, as well as, patient leak rates within each of the 5 reinforcement categories were calculated. An independent Fisher’s exact tests was used to compare the number of patients with and without leaks for the different reinforcement options [16 ]. All statistical tests were 2-tailed and alpha was set at p < 0.05.
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3

Statistical Analyses for Immune Cell Subsets in Rheumatoid Arthritis

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Statistical comparisons between the two groups were performed using Student’s t test or the Wilcoxon rank-sum test according to the distributions. Results are expressed as means ± SD or the median (range). Differences between the three groups were assessed by the Kruskal-Wallis test followed by the Wilcoxon rank-sum test. Spearman’s rank correlation was performed to correlate the proportion of ILC subsets in SF with clinical parameters of RA patients. P values < 0.05 were considered significant. All analyses were performed using JMP statistical software version 13.0 (SAS Institute, Cary, NC, USA).
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4

Astigmatic Defocus Impact on Visual Acuity

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Statistical analysis was performed using JMP statistical software version 13.0 (SAS Institute, Inc., Cary, NC, USA). Snellen visual acuity data were converted to logarithm of minimum angle of resolution (logMAR) for analysis. The mean and SD of visual acuity at each level of induced astigmatic defocus were calculated. Continuous parameters were compared using the Wilcoxon test. A P-value of <0.05 was considered to be statistically significant. Change in mean visual acuity with an increase in induced astigmatic defocus was plotted to generate astigmatic defocus curve.
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5

CIRT Survival and Toxicity Analysis

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Local control, OS, and progression‐free survival (PFS) were calculated using the Kaplan–Meier method. All survival times were calculated from the first day of CIRT. Univariate analyses of prognostic factors for local control and OS were performed using the log‐rank test. Continuous characteristics such as age, BED, and GTV were divided into two subgroups using the median values. Statistical significance was set at P < 0.05. We used JMP statistical software version 13.0 (SAS Institute Inc, Cary, NC, USA) for all statistical analyses.
Fisher's exact tests were used to compare the incidence of late toxicities between patients receiving BED10 <89.6 Gy (RBE) and those receiving BED10 = 89.6 Gy (RBE).
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6

Student Perception Analysis via Likert Surveys

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Mean Likert scale values and standard deviations (SD) for each electronic survey response to represent overall student agreement over different time points were obtained. Aiming to assess the student perception within the domains the responses were also presented as frequencies with percentages. Responses were summarized in 3 categories to reflect agreement (strongly agree/agree), neutral (neither agree nor disagree) and disagreement (disagree/strongly disagree) for all surveys. The analysis of variance (ANOVA) was used to for statistical comparisons, with two-tailed p-values < 0.05 considered statistically significant. All analyses were undertaken using JMP® statistical software, Version 13.0 (SAS Institute Inc., Cary, NC).
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7

Urodynamic Changes in Surgical Treatment

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The data were analyzed using JMP statistical software version 13.0 (SAS Institute Inc., Cary, NC, USA). Urodynamic and lower urinary tract symptoms pre-and postoperative parameters for each group were compared using a Wilcoxon signed rank test. Values of p less than 0.05 were considered significant.
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8

Olive Oil Variety Identification

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Before statistical analysis data were standardized using the XLSTAT ver. 2020.3.1.0 software (Addinsoft Deutschland, Andernach, Germany). JMP statistical software version 13.0 (SAS Institute Inc., Cary, NC, USA) was used for the determination of Spearman’s rho correlation coefficients and the Principal Component Analysis. ANOVA, Kruskal–Wallis, and post-hoc comparisons were performed applying the Tukey HSD and Dunn test with Bonferroni correction using the XLSTAT ver. 2020.3.1.0 software (Addinsoft Deutschland, Andernach, Germany). The same software was used for the development of Discriminant Analysis models. One hundred and fifty-eight VOO samples were used as a training set (92 Koroneiki, 28 Megaritiki, 24 Amfissis, 14 Manaki) and 41 (23 Koroneiki, 7 Megaritiki, 7 Amfissis, 4 Manaki) as an external prediction set. The chemometric models were validated using the leave one out cross-validation method.
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9

Serum Bilirubin and Body Fat Distribution

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All statistical analyses were performed using JMP statistical software, Version 13 (SAS Institute Inc., Cary, NC, USA). For the clinical study, continuous variables were analyzed using Spearman’s rank correlation and categorical variables using the Mann–Whitney U-test for univariate analysis of the relationship between serum bilirubin concentration, body fat distribution and each parameter. Multivariate linear regression analyses were conducted to control for potential confounders. Gender was coded as a dummy variable. Continuous data are summarized as medians and interquartile ranges (IQR) and categorical variables as absolute numbers (%). For the animal study, all data are expressed as means ± SEM. Statistical analysis was performed using the Student’s t-test or one-way analysis of variance (ANOVA), followed by Fisher’s protected least significant difference test. P < 0.05 was considered to represent statistical significance.
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10

Survival Analysis and Diagnostic Value

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A normality test could not verify the normality of the data. Therefore, median values and nonparametric statistical testing procedures were utilized. Patients alive in December 2022 were censored at the time of follow-up. Survival curves were established using the Kaplan–Meier method. The diagnostic value for positive PWC was assessed by calculating the area under the receiver operating characteristic (ROC) curve. Factors independently associated with positive PWC were investigated using logistic regression analysis. All statistical analyses were performed using JMP statistical software version 13 (SAS Institute, Cary, NC). A p value of < 0.05 indicated statistical significance.
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