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Spss for window version 16.0

Manufactured by IBM
Sourced in United States

SPSS for Windows (version 16.0) is a software application designed for statistical analysis. It provides a comprehensive set of tools for data manipulation, analysis, and presentation. The core function of SPSS is to enable users to perform a wide range of statistical procedures, including regression analysis, hypothesis testing, and data visualization.

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Lab products found in correlation

4 protocols using spss for window version 16.0

1

Urinary Tract Infection Biomarker Analysis

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SPSS for window (version 16.0) was used for analyses. Students’-test and χ2 were used to compare the continuous variables (when normally distributed) and proportions between the cases and controls, respectively. The levels of LL-37 were not normally distributed and were compared between the cases and controls by Mann-Whitney U test. Logistic and linear regression was performed with UTI (logistic) and log of LL-37 level (linear); these were the dependent variables. Spearman correlation (non-parametric) was performed between the plasma and urine levels. P < 0.05 was considered statistically significant.
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2

Statistical Analysis of Categorical and Continuous Data

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The data were analyzed using SPSS for window version 16.0 (SPSS, IL, 233 South Wacker drive, 11th Floor, Chicago, 60606-3412, USA) using descriptive statistics. Categorical variables were expressed as frequencies and percentages and then analyzed using the Chi-square test or Fishers exact test, where appropriate. Continuous data expressed as mean ± SD, or median (range), were analyzed using Students t-test, analysis of variance-one-way, or Mann-Whitney U-test. Significance was taken at P < 0.05.
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3

Spinal Instability Surgical Techniques

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The SPSS for Window (version 16.0) was used for the analysis. For continuous variables, data were expressed as mean ± standard deviation. t test was used to compare continuous variables (age, follow-up duration, blood loss, operation time, total cost). Chi-square test of Fisher’s exact test was used to compare categorical variables (gender, type of instability, bone fusion rate). VAS and NDI scores at different time points within the group were compared using one-way ANONA, and pairwise comparison was conducted with LSD t test. VAS and NDI scores were compared using unpaired t test between groups. Significance was defined as P < 0.05.
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4

Evaluating Predictors of Conduct Disorder

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The statistical analysis was done using Statistical Package for Social Sciences (SPSS) for window-version 16.0. Frequency tables were used for descriptive statistics and cross tabulations for relationship between variables. The associations between Conduct disorder and nominal variables such as religious participation, parental marital status, etc., were investigated using Chi square statistics. The variables that were significantly associated with CD on bivariate analysis were further entered into stepwise binary logistic regression analysis with backward elimination with the presence or absence of CD as the dependent variable. A p value of less than 0.05 was accepted as the level of statistical significance.
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