The results were represented as mean ± SEM. Differences between groups were compared using one-way ANOVA followed by Dunnett's post hoc test (version 17.0 software, SPSS Inc.). Differences with a P < 0.05 were considered to be statistically significant.
Version 17
Manufactured by IBM
Sourced in United States
Version 17.0 is a comprehensive lab equipment solution developed by IBM. It provides a range of advanced features and functionalities to support various scientific and research applications. The core function of this product is to facilitate accurate and efficient data collection, analysis, and reporting within a laboratory setting. The detailed specifications and intended use cases are not available for this response.
Automatically generated - may contain errors
Lab products found in correlation
12 protocols using version 17
1
Comparative Statistical Analysis of Experimental Outcomes
2
Experimental Procedure for Statistical Analysis
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Results are shown as the mean ± SD. Differences between two experimental conditions were evaluated with one-way ANOVA followed by Dunnett’s post-hoc test (version 17.0 software, SPSS Inc.). Differences were accepted statistically significant for P < 0.05.
3
Randomized Comparison of RFA-TACE-Sorafenib
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This was an open-label, single-center, prospective, randomized case-control trial. According to the method of random number table via version 17.0, SPSS Inc, participants were randomly assigned in a 1:1 ratio to either the RFA combined with TACE plus sorafenib group (study group) or the TACE plus sorafenib group (control group).
4
Descriptive Statistical Analysis of Data
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Data were transferred to version 17.0 (SPSS for Windows, Chicago, IL, USA) packed program. Percentages and means were used to illustrate the descriptive properties of demographic characteristics. The open-ended questions were grouped into themes and summarized as percentages.
5
Cell Experiment Reproducibility Analysis
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All of the experiments on cells were repeated three times. Data were expressed as the mean ± SD. One-way ANOVA followed by the Tukey-Kramer post hoc test (version 17.0; SPSS Inc.) was used to determine significant differences. P<0.05 was considered statistically significant.
6
Statistical Analysis of Experimental Data
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The experimental results have been analyzed with a commercially available statistical package (SPSS Inc., Version 17.0, Chicago, IL, USA) based on the Least Significant Difference (LSD) test and Student–Newman–Keuls test (S‐N‐K) with a significance level of p < 0.05. All measurements are performed in triplicate.
7
Fitness Indicators Reliability and Norms
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Descriptive data are presented graphically as means ± standard deviation. Test-retest reliability scores were obtained using intraclass correlation coefficients (ICC, two-way random effects model single measure reliability). Commercially available statistical software was used to obtain normative scores (percentile ranks) of anthropometric and technical-related fitness indicators (SPSS Inc., Version 17.0, Chicago, IL, United States). The statistical comparisons between trials were assessed using one-way repeated measures ANOVA. The magnitude from differences between age groups was assessed using standard effect sizes (Cohen, 1998 ; Hopkins, 2006 ) using previously established scales: <0.20 = trivial, 0.20–0.59 = small, 0.60–1.19 = moderate, 1.20–2.0 = large, and >2.0 = very large (Hopkins, 2002 ). The Pearson’s correlation coefficients were calculated to determine the relationships between the variables within each age group. Correlation coefficients with values above 0.5 were considered as representing large correlations, 0.3 to 0.5 – moderate, 0.1 to 0.3 – small and <0.1 – trivial (Cohen, 1998 ). The alpha level for statistical significance was set at P < 0.05.
8
Statistical Analysis of Experimental Data
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Data were analyzed using version 17.0 (SPSS, Chicago, IL, USA) and GraphPad Prism 5.0. All data were represented as the mean ± SD. Significant differences between two groups were assessed using Student's t-test. One-way analysis of variance followed by Tukey’s multiple comparison test was processed for comparison more than two groups. P<0.05 was considered as statistically significant.
9
Statistical Analysis of Adult CAP Mortality
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Statistical Product and Service Solutions, version 17.0, was used for statistical analysis. The count data were represented as frequencies and percentages. The Chi-squared test was conducted for comparing single-factor variables. The measurement data were expressed as means and standard deviations. An independent sample t-test was used to compare the two groups. A single-factor analysis of variance and least significant difference-t-test were used for inter-group comparisons. The factors influencing 30-day mortality in adult CAP patients were analyzed using single-factor and multifactor logistic regression analyses. Pearson correlation analysis assessed the correlation between S100A12 and MEWS. The sensitivity and specificity of S100A12, PCT, and MEWS in predicting mortality and the difference in the area under each index curve (AUC) were evaluated using the receiver-operating characteristic (ROC) curves of the participants. P values <0.05 were considered statistically significant.
10
Antibody Level Analysis and ROC Curve
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Antibody level analysis and the linear curve were drawn by GraphPad Prism software 5.0. The ROC curve was analyzed by the Statistical Package for Social Sciences (SPSS) software (Yu 2003; Hanley and McNeil 1982; Zweig and Campbell 1993) , version 17.0 (Chicago, IL, USA). The description of the data was performed by tables, arithmetic mean, standard deviation, and rates. McNemar's t test was applied for group comparison of sensitivity and specificity. A significance level of 0.05 was used.
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