Categorical data in the Tables are presented as numbers (percentages). We checked the normality distributions for continuous data using the Shapiro–Wilk test, and we presented normally distributed continuous data as mean ± standard deviation. Alternatively, we presented the data as median and interquartile range. We compared the findings in the Tables through univariate analyses using the chi-squared test for categorical variables, Student’s t test for normally distributed continuous variables, and Mann–Whitney U test for non-normally distributed continuous variables. We used the cox hazard model to predict the risk factors for recurrent MR and heart failure after MV repair. A stepwise regression method was used to select significant variables from variables with a univariate P value of < 0.2. The Kaplan–Meier method was used to identify the freedom from cardiac-related death, heart failure, and recurrent MR rates. These rates were then compared between the groups using the log rank test. A P value of < 0.05 was considered statistically significant. All statistical analyses were performed using the JMP 14 statistical software package (SAS Institute, Inc., Cary, NC).
Jmp 14 statistical software
Manufactured by SAS Institute
Sourced in United States, Japan
JMP 14 is a powerful statistical software package developed by SAS Institute. It provides a comprehensive suite of data analysis and visualization tools. JMP 14 is designed to help users explore, analyze, and model data through interactive and intuitive interfaces. The software offers a wide range of statistical methods and advanced analytics capabilities to support decision-making processes.
Automatically generated - may contain errors
Lab products found in correlation
12 protocols using jmp 14 statistical software
1
Mitral Valve Repair Outcomes Analysis
2
Analyzing Heterogeneity in NHP Studies
3
Age-Related Changes in ALK5 Expression
4
Comparison of Preoperative and Postoperative Maxillary Transverse Projection
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Preoperative and postoperative MTP were compared using a paired t-test, and other comparisons were performed using the Mann–Whitney U-test. The significance of differences in categorical variables (gender) was calculated using the chi-squared test. Spearman’s rank correlation coefficient was calculated to explore the relation between MTP and overbite, overjet, and mandible movement at the surgery. Statistical analysis was performed using JMP 14 statistical software (SAS Institute Inc., Cary, NC, USA). The differences were considered significant at p < 0.05.
5
LCIG Treatment Outcomes Analysis
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The JMP 14 statistical software (SAS Institute, Japan) was used for all analyses. UPDRS motor scores were compared over time using the paired t test. ON-OFF ratio before and after LCIG treatment were compared using the chi-square test. We evaluated hematological changes and BMI according to the degree of IAFG using Tukey’s honestly significant difference test. Statistical significance was set at P<0.05.
6
Cerebral Microbleeds and Cognitive Decline
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The data are expressed as the mean ± standard deviation or the median [25% indicates interquartile range (IQR)–75% IQR] for continuous variables, and frequencies and percentages for discrete variables. Statistical analysis was performed using JMP 14 statistical software (SAS Institute, Inc., Cary, NC, USA). The statistical significance of the intergroup differences was assessed using unpaired t-tests, Mann–Whitney U tests, or χ2 tests as appropriate. We divided the patients into four groups: CMB-negative, CMB-deep, CMB-lobar, and CMB-mixed. Then, the data were analyzed with Steel tests. To determine the association with the MMSE score, a univariate analysis was performed, and p = 0.20 was used as the cutoff level. Then, a multifactorial least-squares linear regression analysis was performed with selected factors that were identified from the univariate analysis. We considered p < 0.05 to be significant.
7
Insect Mating and Development Analysis
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Binomial variables such as pupation rates, emergence rates, sex ratio, and insemination rates were analysed via logistic regression. Emergence times were analysed via proportional hazard analysis. Likelihood odds ratios were used for post-hoc comparisons following logistic regression and proportional hazard analysis. Continuous data, such as wing length, (body size) was checked for normality and parametric and non-parametric tests were used where appropriate. In all multivariate analyses, interactions between independent variables were tested but removed from models if not significant. All analyses were carried out using the JMP 14 statistical software (SAS Institute, North Carolina).
8
Predicting Intraoperative CSF Egress
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
All statistical analyses were conducted using JMP® 14 Statistical Software (SAS Institute, Cary, North Carolina, USA). Continuous variables are presented as mean ± standard deviation and were compared using t-tests. Categorical variables are presented as frequency and percentage and were compared using Chi-square tests. All variables that were found to significantly differ between groups were retained. Nominal logistic regression models were used to determine which the retained variables were predictive of intraoperative CSF egress. This manuscript was prepared using the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist. P < 0.05 was considered statistically significant.
9
Statistical Analysis of Experimental Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
JMP 14 statistical software (SAS Institute Inc.) was used for the statistical analysis. Continuous parameters were expressed as median (interquartile range). Two‐group comparisons were analyzed by the Mann–Whitney U test. Categorical data were expressed as counts (percentages) and were compared using the Fisher test. A Wilcoxon signed‐rank test was used for the comparison of the pre‐ and postdata. A p value of <0.05 was considered statistically significant.
10
Extracorporeal CO2 Removal Efficacy
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Data are presented as mean ± SD or median and interquartile range, when appropriate. One-way analysis of variance was use to access the effect of ECCO 2 R on principal variables. Tukey's test was used for post-hoc multiple comparisons. Correlations between VCO 2 ML versus arterial PCO 2 , BF, and ML sweep gas, and between aPTT ratio versus lifespan of extracorporeal circuit were tested by linear regression analysis. A p value below 0.05 was considered statistically significant. Statistical analysis was performed using the JMP 14 statistical software (SAS, Cary, NC).
About PubCompare
Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.
We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.
However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.
Ready to get started?
Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required
Revolutionizing how scientists
search and build protocols!