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Spss for windows software package version 16

Manufactured by IBM
Sourced in United States

SPSS for Windows software package version 16.0 is a data analysis and statistical software tool. It provides functions for data management, data analysis, and reporting. The software is designed to work on the Microsoft Windows operating system.

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Lab products found in correlation

2 protocols using spss for windows software package version 16

1

Analysis of Urinary Schistosomiasis Prevalence

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The Statistical Package for Social Sciences (SPSS) for Windows software package version 16.0 (SPSS Inc, Chicago, IL, USA) was used to perform the data analysis. Comparisons of prevalence by age and sex were done using chi square tests. The mean egg count was explored using Student’s t-test and one-way ANOVA. p-values < 0.05 were considered statistically significant. The analysis of the relationship between prevalence of urinary schistosomiasis and risk factors in order to determine the crude odds ratio (ORs) and 95% confidence interval were explored using logistic regression analysis.
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2

Nampt Expression in Breast Cancer

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Data were analyzed using SPSS for Windows software package, version 16.0 (SPSS Inc., Chicago, IL, USA). The difference in Nampt expression levels between BC patients and control group was tested by t test. The differences between serum Nampt level and genotypes of rs61330082 were tested by one-way ANOVA analysis. Odds ratio (OR) and 95% confidence intervals (CI) were used to assess the effects of serum Nampt protein level on the clinicopathological factors.
Recurrence-free survival (RFS) and overall survival (OS) were estimated using the Kaplan-Meier method, and the association of Nampt expression with RFS and OS was examined by a log-rank test. OS was the time from the day of diagnosis to the day of death or the last follow-up. RFS was the time from the day of diagnosis to the day of recurrence or death or the last follow-up. Prognostic factors were determined using Cox regression analysis. P value ≤0.05 was considered statistically significant.
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