Data are expressed as mean ± standard deviation (SD) from three independent experiments. All statistical analyses were performed using the SPSS 17.0 for Windows software system (SPSS Inc, Chicago, IL). One-way ANOVA followed by Scheffe multiple comparisons were used to compare the differences among multiple groups. A significant difference was considered when the P value from a two-tailed test was < 0.05.
Spss 17.0 for windows software system
Manufactured by IBM
SPSS 17.0 for Windows is a statistical software system. It provides tools for data analysis, data management, and data documentation.
Automatically generated - may contain errors
Lab products found in correlation
2 protocols using spss 17.0 for windows software system
1
Quantitative Analysis of Cellular Responses
2
Statistical Analysis of Urine MDK mRNA Levels for Bladder Cancer Diagnosis
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
SPSS 17.0 for Windows software system (SPSS Inc., Chicago, IL) was used for the statistical analyses. The χ2 or Fisher’s exact tests were used to analyze the categorical data. Univariate ANOVA analysis and the least significant difference test or the Mann–Whitney U-test or the Kruskal–Wallis test were used to compare the means of more than two independent groups. The cut-off values for the urine MDK mRNA levels to predict the presence of Bca were determined using ROC curves. The Spearman test was used to investigate the correlation between 2 quantitative variables. Differences or correlations with P values <0.05 were considered statistically significant.
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!