All data were analyzed with JMP-Pro software, version 13.0 (SAS Institute Inc., Cary, NC, USA) using one-way analysis of variance (ANOVA). When ANOVA indicated significance (p ≤ 0.05), Student’s t-test was performed to test each treatment relative to the water control. Graphs were generated using Excel16 (Microsoft, Redmond, WA, USA).
Jmp pro software version 13
Manufactured by SAS Institute
Sourced in United States
JMP Pro software, version 13.0, is a data analysis and visualization tool developed by SAS Institute. The software is designed to assist users in exploring, analyzing, and presenting data effectively. JMP Pro provides a range of statistical and analytical capabilities, enabling users to uncover insights and make informed decisions.
Automatically generated - may contain errors
Lab products found in correlation
9 protocols using jmp pro software version 13
1
Statistical Analysis of Experimental Data
2
Comparing Surgical Techniques for Appendectomy
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
All payment values were adjusted to the 2017 equivalent using the Japanese Consumer Price Index (available at https://www.stat.go.jp/data/cpi/ , Japanese Ministry of Internal Affairs and Communications). We converted each payment amount from Japanese yen to US dollars (¥110 = $1 on March 20, 2020). Continuous variables are presented as median values, and interquartile ranges (IQR); categorical variables are presented as numbers and proportions (%) of the corresponding cases. We used JMP PRO software version 13.0 (SAS Institute, Cary, NC,) for all calculations.
3
Statistical Analysis of Experimental Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
To compare data from two groups, an unpaired two-tailed Student’s t-test was used. For multiple comparisons of data from groups containing two variable factors, two-way ANOVA followed by Tukey–Kramer post hoc test was performed. Circadian rhythm of gene expression was analyzed by one-way ANOVA. All tests were performed using JMPpro software, version 13.0 (SAS Institute Inc., NC, USA). Data are shown as means ± standard error of the mean (SEM). A p-value <0.05 was considered to be statistically significant.
4
Statistical Analysis of Biomedical Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Results are presented as medians (interquartile range) for continuous variables or prevalence (%) for categorical variables. All calculations were performed using JMP PRO software, version 13.0 (SAS Institute, Cary, NC, USA). Variables were subjected to the chi-square test, and p values < 0.05 were considered statistically significant.
5
Diagnostic and Therapeutic Management in Patients
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The quantitative variables are presented as means and percentiles (interquartile range of 25% and 75%). The qualitative variables are presented as numbers and percentages. The qualitative variables were compared using χ2 tests or Fischer’s exact tests, as appropriate. The quantitative variables were compared using the non-parametric Wilcoxon’s test. Comparisons between patients who underwent examinations with those who had not were performed using the Wilcoxon test and the χ2 test or Fisher’s exact test, as appropriate. The same tests were applied to compare patients who were offered treatment with those who were not. A P value < 0.05 was considered statistically significant. To measure the discriminatory accuracy of SUV and MV for diagnostic and therapeutic management, a receiver operating characteristic (ROC) analysis was performed, and the area under the ROC curve (AUROC) was calculated. Logistic regression analysis was performed with independent categorical items obtained at P < 0.05 by univariate analysis using a forward method to identify factors associated to treatment. Pearson correlation coefficients and Fisher tests were performed to verify whether the Pearson coefficients were significantly different from 0. The tests were performed using JMP Pro software, version 13.0.0 (SAS, Cary, NC, United States).
6
Statistical Analysis of Quantitative Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Quantitative variables were presented as the median and percentile (interquartile range: 25–75%). Categorical variables were presented as the number and percent of the cohort. The non-parametric Mann–Whitney test was used for continuous variables and non-parametric Pearson Chi-squared test or Fisher exact test were used for categorical variables. A p value < 0.05 was considered to be statistically significant. Statistical analyses were performed using JMP Pro Software, version 13.0.0 (SAS Institute Inc., Cary, NC, USA).
7
Dietary Intake and Body Composition in Cystic Fibrosis
8
Leaf Traits Influence on Photosynthesis
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
A two-way ANOVA was conducted on the parameters of the PN/I curve and the leaf traits to test the effects of the species and measurement dates. Significant differences between means were determined using the Tukey honest significant difference (THSD) test at a 5% probability level. It is also important to report some effect size measures that indicate whether the observed statistical differences among groups are of practical significance. For a two-way ANOVA and small sample size, the effect size measure omega squared (ω2) is recommended [77 –82 (link)]. ω2 also determines the percentage of the variation in the dependent variable attributable to the individual independent factors (i.e., species and measurement dates) [78 ]. ANOVA and ω2 were both computed using JMP Pro software version 13 (SAS Institute Inc., 2016). Correlation (Pearson’s) analysis was used to establish the association between leaf traits and maximum gross photosynthetic rate (Pgmax). Linear regression analysis was also used to establish the relationship between the leaf traits and Pgmax.
9
Delirium Prevention with Dexmedetomidine
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Categorical variables were expressed as number (%) and continuous variables were expressed as median (interquartile range [IQR]). Categorical variables were compared using the χ2‐test or Fisher’s exact test, and continuous variables were compared using the Wilcoxon rank sum test. The effects of DEX on sedation control and the occurrence of delirium or coma were evaluated using a generalized linear model (GENMOD procedure with logit function) to account for repeated measurements in the same patient. All statistical tests were two‐sided and P‐values of <0.05 were considered statistically significant. All analyses were undertaken using JMP Pro software (version 13) and SAS software (version 9.4) (SAS Institute, Cary, NC, USA).
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!