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Spss statistics package version 23

Manufactured by IBM
Sourced in United States

SPSS Statistics package, version 23, is a comprehensive software suite for statistical analysis. It provides a wide range of statistical procedures, including descriptive statistics, bivariate statistics, prediction for numerical outcomes, and prediction for identifying groups. SPSS Statistics is designed to help users analyze and interpret data effectively.

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Lab products found in correlation

7 protocols using spss statistics package version 23

1

Statistical Analysis of Categorical and Numerical Data

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IBM SPSS Statistics package, Version 23.0 (IBM Corp, Armonk, NY, USA) was used for statistical analysis of the data. Numbers and percentages were used to represent categorical measurements, whereas, mean and standard deviation were used for numerical measurements. To compare categorical measurements between the groups, chi-square test was used and to compare the numerical measurements that did not show normal distribution between the 2 groups, Mann-Whitney U-test was used. For general comparison between more than two groups that did not show normal distribution, Kruskal-Wallis test was used. Statistical significance was taken as 0.05 in all tests.
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2

Statistical Analysis of Test Scores

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Statistical analyses of the test scores and rate were conducted using the IBM SPSS Statistics package version 23.0 (IBM Corp.). An independent-samples t-test (2-tailed) was used to evaluate the differences in test scores between the two groups. Fisher's chi-square analysis (2-tailed) was used to evaluate the differences in failure rate and high score rate because the sample size was less than 40. Data for the statistical analyses were presented as the mean ± standard deviation, and p < 0.05 was considered to indicate a statistically significant difference from controls.
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3

Microbial and Physicochemical Analysis

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The significance of differences was determined by one-way analysis of variance (ANOVA) and Least-Significant Difference (LSD) (α= 0.05). Pearson's correlation coefficients between microbial, physicochemical indexes and BA concentrations were generated using Pearson's correlation coefficient analysis (α= 0.05). The statistical analyses were carried out using the IBM SPSS statistics package version 23.0 (SPSS Inc., Chicago, IL, USA).
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4

Analyzing ESBL/pAmpC E. coli Prevalence

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Differences in frequencies of ESBL/pAmpC producing E. coli isolates
according to provinces, different age groups and genders were evaluated using Pearson’s or
likelihood ratio chi-square tests. IBM SPSS Statistics package Version 23 (IBM Corp.,
Armonk, NY, U.S.A.) was used for the statistical analysis. P value
<0.05 was considered as statistically significant.
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5

Predicting Survival Outcomes in Pleural Effusions

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Fisher's exact test and Mann–Whitney U test were used to compare intergroup differences for categorical and continuous variables as appropriate. Univariate and multivariate Cox proportional hazard regression models were used to estimate the hazard ratio. The OS and PFS were estimated using the Kaplan–Meier method, whereas the between-group differences were assessed using the stratified log-rank test. Two-tailed tests with p values < 0.05 were considered statistically significant. Receiver operating curves analysis was applied to identify the optimal cutoff threshold of pleural effusion CD4/CD8 and B cell ratios in predicting survival.
All analyses were performed with the IBM SPSS Statistics package, version 23 (IBM Corporation, Armonk, NY).
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6

Survival Analysis of EGFR-TKI Treatment

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To compare intergroup differences for categorical and continuous variables, Fisher’s exact test and Mann–Whitney U test were used, respectively. Two-tailed p values  <  0.05 were considered statistically significant differences. The overall survival (OS) was estimated using the Kaplan–Meier method, whereas the between-group differences were assessed using the stratified log-rank test. OS was analyzed from the start of the third-generation EGFR-TKI treatment to mortality and from rebiopsy to mortality. All analyses were performed with the IBM SPSS Statistics package, version 23 (IBM Corporation, Armonk, NY, USA).
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7

Evaluating Malnutrition Risk Interventions

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Data was collated and analysed using IBM SPSS Statistics package version 23 (IBM Corporation, New York, US). Data was presented as mean values ± standard deviation (SD) unless stated otherwise. A one-way ANOVA was used to compare healthcare use (number of healthcare visits, number of hospital admissions, number of antibiotic prescriptions and total length of hospital stay (days)) from 6 months before and 6 months after implementation of the pathway. Paired t-tests were used to make comparisons of the same outcomes at 2 time points, within the different malnutrition risk groups. As this is a small service evaluation power calculations were not undertaken to determine sample size. A pragmatic approach was taken to recruit as many suitable individuals within the dietetic resource available.
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