Data were analyzed with SAS software (Cary, NC, USA) or SPSS software (IBM Co., Chicago, IL, USA). The correlation between STMN1 expression and clinicopathological factors were analyzed with Fisher’s test, the prognostic value of expression levels of STMN1 in tumor tissue was evaluated by Kaplan-Meier univariate analysis and the log-rank test, and independent prognostic factors were identified using the Cox regression model to identify the independent prognostic risk. A P-value of <0.05 was considered to be statistically significant.
Sas software
Manufactured by IBM
Sourced in United States
SAS software is a comprehensive suite of integrated applications designed for data management, advanced analytics, and business intelligence. It provides a robust and flexible platform for data processing, statistical analysis, predictive modeling, and reporting. SAS software enables organizations to extract valuable insights from their data, make informed decisions, and drive data-driven strategies.
Automatically generated - may contain errors
11 protocols using sas software
1
Prognostic Significance of STMN1 Expression
2
Statistical Analysis of Research Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Descriptive statistics including mean, median, standard error, and range were calculated when appropriate based on normal distribution of data. Chi-square analysis or the Fishers-Freeman-Halton exact test using Monte Carlo simulation approach were used when appropriate for categorical variables. For continuous variables, the Independent-Samples Median Test or Student's Ttest were used. An a-level of 0.05 was chosen to determine statistical significance. IBM-SPSS Statistical software, version 24, and SAS software were used for these calculations.
3
Feasibility of Older Adults' OEP Intervention
4
Reducing Surgical Pain with SDE Injection in Laparoscopic Cholecystectomy
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
A recent study showed that SDE significantly reduced the VAS by 32% at 48 hours after elective laparotomy surgery.[12 (link)] In comparison to laparotomies, the intensity of postoperative pain is generally reduced in laparoscopic procedures. Therefore, our study proposed that SDE injection might reduce surgical related pain by 20% after laparoscopic cholecystectomies. With a pre-defined 20% standard error, a total sample size of 80 patients (including a dropout rate of 10%) was desirable to detect a 20% difference in pain reduction with an α value 0.05 and statistical power 0.8. Categorical variables were compared using the Fisher’s exact test. Comparisons of the continuous variables between the 2 study groups were analyzed using the Student t test or Mann–Whitney U test, as appropriate. Two-way repeated measures ANOVA was used to compare SF-12 scores at baseline and after surgery. All analyses were carried out using the SAS software, version 9.1 (SPSS software, version 24.0; IBM, Armonk, NY).
5
Quantifying Soil Carbon Dynamics
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Differences in C enrichment ratios, amounts of sediment exported and DOC concentrations in overland flow were tested with one-way ANOVA and the Post-hoc Duncan test to differentiate between individual differences. The difference of CO2 effluxes measured in the 4-month period at eroding, transport and depositional zones of the gutter was tested by repeated measurement ANOVA. Averaged CO2 efflux in different experimental zones was compared using a one-way ANOVA. For all tests, a significance level of P = 0.05 was set using the Post-hoc Duncan test, unless otherwise indicated. The relationship between cumulative CO2 emission and DOC concentration was tested by two-tailed Pearson test. All statistical tests were performed using SAS software (Version 8.1) and SPSS (IBM Statistics 20).
6
Ovarian Cancer Gene Correlation
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Robust Multi-array Average normalized expression levels of KIFC1 and genes which drive CA (CCNA2, CDK1, NEK2, AURKA, MYCN, CCNE2, STIL, LMO4, PLK4, MDM2, CEP63, E2F1, E2F2, E2F3, CEP152, PIM1, PIN1, CCND1) from the primary serous ovarian carcinoma of 154 patients were obtained from GEO series GSE 9899 To obtain Pearson’s correlation coefficients between genes whose dysregulation drives CA, SAS software (IBM) was used for the analyses, with p < 0.05 indicating statistical significance.
7
Nedosiran Biomarker Comparative Analysis
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Graphs were prepared using Prism software (version 8.4.3; GraphPad Software, San Diego, CA). All statistical analyses were performed using SAS software (version 9.4; IBM Corp., Chicago, IL). The Wilcoxon rank sum test was used to compare biomarker data between nedosiran and placebo groups. Biomarker changes from days 0 to 29 within each group were compared using the Wilcoxon signed rank test. The criterion for statistical significance was P < 0.05.
8
Nonparametric Data Analysis Protocol
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Statistical analyses were performed using IBM SPSS25 and SAS software. The study included only nonparametric data which was compared using Fisher Exact and chi square test for statistical signi cance. A p-value less than 0.05 was considered statistically signi cant.
9
Statistical Analyses in Biomedical Research
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Statistical analyses were performed using SAS software (version 9.4, IBM Corp.). Continuous data were presented as the mean ± standard deviation ( ) or [M(Q25, Q75)] and analyzed by the t-test or Kruskal–Wallis test. Categorical data were presented as frequency (N) and percentage (%) and analyzed using χ2 or Kruskal–Wallis tests. P < 0.05 was considered a statistically significant difference.
10
Anesthetic Dosage and Labor Outcomes
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Double-entry data and consistency checks were used (Epidata 3.0) [23] . Data were analyzed using IBM SPSS statistical software and SAS software. Quantitative variables were reported as mean ± standard deviation (SD), and compared by t-test or Wilcoxon rank-sum test. Categorical variables were reported as count and percentage, and compared by the chi-square test or Fisher's exact test. The reference range of labor anesthesia duration was estimated by the 95% confidence interval (CI). Generalized estimating equation (GEE) analysis was used to analyze the repeated measures (VAS pain score and real-time anesthetic dosage). The correlation between the average anesthetic dosage and side effects or adverse labor outcomes was examined using logistic regression analysis. Spearman's correlation analysis was used to analyze factors influencing average anesthetic drug dosage. Linear regression analysis was used for assessing factors influencing the average drug dosage after adjustment for multiple factors. The level of significance was set at α = 0.05.
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!