Three or more independent experiments were performed and data were reported as means ± SD. Statistical analysis were performed using SPSS Statistical Package v.17 (SPSS, Inc.) or GraphPad5 software (GraphPad Software Inc.). Unpaired Student's t-test and one-way ANOVA followed by the post hoc test were performed to compare means of 2 or more groups, respectively. P<0.05 was considered to indicate a statistically significant difference.
Spss statistical package v 17
Manufactured by IBM
SPSS Statistical Package v.17 is a software application designed for data analysis and statistical computations. It provides a comprehensive set of tools for data management, exploration, modeling, and reporting. The core function of SPSS is to enable users to analyze and interpret data, identify patterns, and make informed decisions based on statistical analysis.
Automatically generated - may contain errors
Lab products found in correlation
3 protocols using spss statistical package v 17
1
Statistical Analysis of Experimental Data
2
Intraobserver and Interobserver Reliability Assessment
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All statistical analyses were performed using the SPSS statistical package V.17 (SPSS). Intraobserver reliability for all measurements was assessed using intraclass correlation coefficient (ICC). For each observer and dog, the ICC (with 95% CI) was calculated based on the three sets of data using a two-way random effects. Interobserver reliability between the three observers was calculated in a similar manner. The following categories for expressing levels of reliability were used: excellent reliability, 0.90 to 0.99; good reliability, 0.80 to 0.89; fair reliability, 0.70 to 0.79; moderate reliability, 0.59 to 0.69; and poor reliability, <0.59.7 8 (link)
3
Microarray Analysis of miRNA Expression
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Statistical analysis of microRNA expression was performed using the SPSS statistical package (v17). Spearman correlations and appropriate parametric or non-parametric tests were used to compare variables.
Logistic regression analyses were performed to demonstrate any association between differential microRNA expression in relation to DGF as well as biochemical and clinical parameters. This was accomplished using a backward stepwise approach, where all variables were added to the model, and removed based on significance of input to the model. p<0.05 was considered significant.
Logistic regression analyses were performed to demonstrate any association between differential microRNA expression in relation to DGF as well as biochemical and clinical parameters. This was accomplished using a backward stepwise approach, where all variables were added to the model, and removed based on significance of input to the model. p<0.05 was considered significant.
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