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Spss statistics software program for windows

Manufactured by IBM
Sourced in United States, Japan

SPSS Statistics software program for Windows is a comprehensive statistical analysis tool designed to help users analyze complex data. The software provides a wide range of statistical techniques, including descriptive statistics, regression analysis, and data mining, among others. SPSS Statistics is widely used in various industries and academic institutions to support data-driven decision-making.

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Lab products found in correlation

3 protocols using spss statistics software program for windows

1

Dual-Energy CT Protocol Comparison

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Both quantitative and qualitative assessment scores between the 70 kVp and blended DE protocols were compared by using the Mann–Whitney U test. The interobserver agreement in qualitative parameters was compared by kappa statistical analyses (the kappa value of 0.81–1.00, excellent; 0.61–0.80, substantial; 0.41–0.60, moderate; 0.21–0.40, fair; <0.20, poor).
All statistical analyses were performed using the IBM SPSS Statistics software program for Windows (Version 27.0., IBM Inc., New York, USA). Statistically significant p-values were set at <0.05.
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2

Comparing Clinical Milestones in Disease Subgroups

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We compared clinical details, including the age at the disease onset and at death as well as the disease duration, between patient subgroups. Only patients in whom an event occurred were included in determinations of the mean results and comparisons for each milestone of advanced disease. We performed univariable analyses with Fisher’s exact test for categorical variables and a two-tailed t-test or the Mann–Whitney U test, as appropriate, for continuous variables. The interval from the onset of the first symptom to each clinical milestone or death was graphically presented using Kaplan–Meier curves, with the curves from each patient subgroup compared using a log rank test. A Cox proportional-hazards model was used to estimate the hazard ratio and 95% confidence interval.
All statistical analyses were performed using the IBM SPSS Statistics software program for Windows (version 27.0; IBM Japan, Tokyo, Japan). For all tests, p values of <0.05 (two-tailed) were considered statistically significant.
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3

Factors Associated with COVID-19 Vaccine Acceptance

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The mean ± standard deviation was utilized for the quantitative variables, and frequency tables for the qualitative data. The Chi-square test was utilized to investigate the relationships between the categorical variables. The factors associated to the willingness to receive the vaccine were identified through the use a logistic regression analysis. A multivariate logistic regression was performed with the 581 participants who claimed to have received the vaccine, in order to identify the adverse effects associated with the type of vaccine received, with the odds ratio (OR) probability and a confidence interval (CI) of 95% calculated. The likelihood was calculated with the Wald Chi-square test, and the goodness-of-fit was tested with Pearson's test. The statistical analysis was performed with the IBM SPSS Statistics software program for Windows, version 24.0.
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