All experiments were independently repeated three times. Data are expressed as mean ± SD of three independent experiments. Statistical analysis was performed using SPSS 19.0 statistical analysis (IBM, Chicago, IL) and Graph Pad Prism software (San Diego, CA, USA). Differences between two groups were determined by t-test. The statistical comparisons among the multiple groups were assessed with ANOVA. Tukey’s test was used as a post hoc test to make pair-wise comparisons. P-value < 0.05 was considered statistically significant.
Spss 19.0 statistical analysis
Manufactured by IBM
Sourced in United States
SPSS 19.0 is a statistical analysis software package developed by IBM. It provides a comprehensive set of tools for data management, analysis, and reporting. The core function of SPSS 19.0 is to enable users to conduct a wide range of statistical procedures, including descriptive statistics, regression analysis, hypothesis testing, and more.
Automatically generated - may contain errors
Lab products found in correlation
13 protocols using spss 19.0 statistical analysis
1
Cell proliferation assay protocol
2
Comprehensive Statistical Analysis of Experimental Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The lab data recorded were averaged for at least three independent assays with five replicates each and calculated using completely randomized design (CRD). The field experiment was also conducted with five replication and data were subjected to RCBD analysis mean ± standard deviation (SD). Differences at P\0.05 were considered statistically significant [30 ]. The Tukey’s Honestly Significant Difference (HSD) test with a confidence of 95% were done by using SPSS 19.0 statistical analysis (IBM, New York, USA). The different alphabetical letters used in figures and tables for showing the significant differences.
3
Statistical Analysis of Experimental Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
All the data were presented with the mean ± standard deviation (s.d.) and were analyzed using SPSS 19.0 statistical analysis software (SPSS, Chicago, IL, USA). A two-sided Student’s t test was used to assess the difference between the two groups. Difference among multiple groups was analyzed via one-way analysis of variance (ANOVA), followed by Holm-Sidak post hoc test with ***P < 0.001, **P < 0.01, *P < 0.05.
4
Statistical Analysis of Research Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
All data were processed with SPSS19.0 statistical analysis software (SPSS Inc., Chicago, IL, USA). Unpaired T test, Chi-square test was used for statistical analysis of the results. Correlation analysis was performed by the Spearman two-variable correlation analysis method. P<0.05 was defined as statistically differences.
5
Statistical Analyses of Categorical Variables
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Statistical analyses were processed using the SPSS 19.0 statistical analysis software package (SPSS Inc. Chicago, IL). Categorical variables were compared using the χ2 test. Univariate logistic analysis was first performed, and variables with p<0.10 were selected for multivariate logistic analysis. All tests were two-tailed and a p value <0.05 was considered statistically significant.
6
Statistical Analysis of EGFR Mutation
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
SPSS 19.0 statistical analysis software package was adopted for data analysis. Paired t-test was applied for comparison of continuous variables among groups; χ2-test was used for comparison of classified variables; Kaplan–Meier method was adopted to calculate the survival rate; log-rank test was employed for single-factor analysis; Cox proportional hazard model was used for multiple-factor analysis; logistic regression analysis was employed to analyze the relationship between EGFR gene mutation and various factors. Values of P<0.05 was considered statistically significant.
7
Lp-PLA2 Correlation Analysis
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
SPSS19.0 statistical analysis package was used to analyze the data. Shapiro–Wilk test was used to assess data distribution normality. Measurement data were expressed as mean ± standard deviation (± s) and distinction between groups was evaluate by Student t test. Enumeration data was analyzed by Chi-Squared test between 2 groups. Besides, correlations between Lp-PLA2 and biochemical parameters were demonstrated by Spearman's correlation test. Logistic regression analysis was used to estimate odds ratios (OR) and 95% confidence interval (95% CI). P < .05 was considered statistically significant.
8
Statistical Analysis of Diagnostic Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
SPSS19.0 statistical analysis software was used for data analysis. The measurement data were represented by average standard deviation ( ). The comparison between the groups was performed by t-test or by variance analysis. The Kruskal–Wallis test in the nonparametric test was applied to the measurement data with uneven variance. When P<0.05, there was a statistically significance. A receiver operating characteristic (ROC) curve was drawn to evaluate the diagnostic value.
9
Statistical Analysis of Measurement Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
SPSS 19.0 statistical analysis software is used for data analysis. The data of measurement data are expressed in mean ± standard deviation, analyzed by t test; count data is expressed as a percentage (%) and analyzed by χ2 test. The factors with statistical significance were analyzed by logistic regression analysis, and the regression coefficient (β), relative risk ratio (or), and 95% confidence interval (95% CI) were calculated. The difference was statistically significant (P < 0.05).
10
Statistical Analysis of Experimental Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Data processing was performed using SPSS 19.0 statistical analysis software, and the results of data analysis were expressed as mean ± standard deviation (mean ± SD). The t-test was used for data analysis between the two groups; the one-way analysis of variance (ANOVA) was used for data analysis among multiple groups, and the LSD test was used for subsequent analysis. The difference was statistical signi cantly with p < 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!