Statistical analysis was made using descriptive statistics, Mann–Whitney two-tailed unpaired tests, Kruskal–Wallis test, and negative binomial mixed regression (to account for multiple counts per sample). A P value <0.05 was considered as statistically significant. Statistical analysis was performed using the IBM SPSS Statistics for Windows (2016) (version 24.0; IBM Corp., Armonk, NY, USA and GraphPad Software, San Diego, CA, USA).
Spss statistics for windows 2016
Manufactured by IBM
Sourced in United States
SPSS Statistics for Windows (2016) is a statistical software application developed by IBM. It provides advanced analytical capabilities for researchers and data analysts to perform a variety of statistical analyses on their data. The software allows users to import, manage, analyze, and present data from a wide range of sources.
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Lab products found in correlation
2 protocols using spss statistics for windows 2016
1
Comparative Statistical Analysis of Biological Data
2
Evaluating Virtual Treatment Decisions
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Categorical variables were reported as frequency and percentage. Continues variables were evaluated for normal distribution using histogram and Q-Q plot. Normally distributed continues variables were reported as the mean and standard deviation, and skewed variables were reported as the median and interquartile range. The McNemar test was used to compare the original treatment decision and the "virtual treatment decision."
The generalized estimating equations model was used to study the association between each predictor and the "agreement." All statistical tests were two sided, and p value <0.05 was considered as statistically significant. SPSS software was used for all statistical analysis (IBM SPSS statistics for windows, 2016; IBM Core, Armnok, NY, USA).
The generalized estimating equations model was used to study the association between each predictor and the "agreement." All statistical tests were two sided, and p value <0.05 was considered as statistically significant. SPSS software was used for all statistical analysis (IBM SPSS statistics for windows, 2016; IBM Core, Armnok, NY, USA).
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