The largest database of trusted experimental protocols

Jmp 16.0 statistical software

Manufactured by SAS Institute
Sourced in United States

JMP 16.0 is a statistical software package developed by SAS Institute. It provides data analysis and visualization capabilities for users to explore, analyze, and model their data. The software offers a range of statistical methods and tools to support data-driven decision-making.

Automatically generated - may contain errors

Lab products found in correlation

2 protocols using jmp 16.0 statistical software

1

Factors Associated with Undertriage in Telephone Triage

Check if the same lab product or an alternative is used in the 5 most similar protocols
First, we compared baseline characteristics between the appropriately triaged and undertriaged groups. Pearson’s chi-square test or Fisher’s exact test was performed to compare categorical variables (age categories [0–15, 16–64, 65–74, and > 75] years, sex, comorbidities, telephone triage categories, protocols, and doctor assessments), and Student’s t-test or the Wilcoxon-Mann-Whitney test was performed to compare continuous variables (age, vital signs, and time from telephone triage to patient consultation), as appropriate. Second, we conducted a multivariable logistic regression analysis to identify factors associated with undertriage. Third, we conducted sensitivity analyses to exclude patients aged 0–15 years because the protocol used for these patients is different from that used for patients aged > 15 years. All statistical analyses were performed using JMP 16.0 statistical software (SAS Institute, Cary, NC, USA). The significance threshold was set at P of < 0.05.
+ Open protocol
+ Expand
2

Comparative Analysis of CR and PR Groups

Check if the same lab product or an alternative is used in the 5 most similar protocols
Characteristics were examined for all participants, and group differences were assessed based on therapy evaluation, with participants categorized into the CR and PR groups. Differences in numerical variables (age and drug frequency) between the subgroups were determined using a Student's t-test. The difference in a nominal variable (sex) between the subgroups was determined using a Fisher's exact test. A two-tailed P-value <0.05 was considered to indicate a statistically significant difference. All statistical analyses were performed using JMP 16.0 statistical software (SAS Institute).
+ Open protocol
+ Expand

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

Sign up now

Revolutionizing how scientists
search and build protocols!