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Statistical package for the social sciences spss v 19

Manufactured by IBM
Sourced in United States

The Statistical Package for the Social Sciences (IBM SPSS v.19) is a software application used for statistical analysis. It provides a comprehensive set of tools for data management, data analysis, and reporting. The core function of SPSS is to enable users to perform a wide range of statistical procedures, from basic to advanced, in order to gain insights from data.

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Lab products found in correlation

3 protocols using statistical package for the social sciences spss v 19

1

Statistical Analysis of Research Data

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Normality of the data was tested using the Shapiro–Wilk or Kolmogorov–Smirnov tests. Data are presented as median and inter-quartile range (IQR). Comparison between unrelated variables was conducted with Student’s t test or Mann–Whitney U test, as appropriate. The Chi-square and Fisher’s exact tests were used for comparison between categorical variables. Significance was accepted at p < 0.05. Statistical analyses were conducted using the IBM Statistical Package for the Social Sciences (IBM SPSS v.19; IBM Corporation Inc, Armonk, NY, USA).
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2

Predictors of Anti-Müllerian Hormone Levels

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Normality of the data was tested using the Shapiro-Wilk or Kolmogorov-Smirnov tests. Data are presented as median and inter-quartile range (IQR). Comparison between unrelated variables was conducted with Student's t-test or Mann–Whitney U test, as appropriate. The chi-square and Fisher's exact tests were used for comparison between categorical variables. Linear multivariate regression analysis was used to determine which factors were significantly and independently predictors with the level of AMH. Significance was accepted at p < 0.05. Power was calculated post hoc given α of 0.05. Statistical analyses were conducted using the IBM Statistical Package for the Social Sciences (IBM SPSS v.19; IBM Corporation Inc, Armonk, NY, USA).
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3

Factors Influencing Preterm Delivery

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Normality of the data was tested using the Shapiro-Wilk or Kolmogorov-Smirnov tests. Data are presented as median and inter-quartile range (IQR). Comparison between unrelated variables was conducted with Student's t-test or Mann–Whitney U test, as appropriate. The chi-square and Fisher's exact tests were used for comparison between categorical variables. Correlation between variables was conducted using either Pearson or Spearman’s rank correlation as appropriate. Logistic regression analysis was used to determine which factors were significantly and independently correlated with preterm delivery. Significance was accepted at p < 0.05. Statistical analyses were conducted using the IBM Statistical Package for the Social Sciences (IBM SPSS v.19; IBM Corporation Inc, Armonk, NY, USA).
The study protocol was approved by the Institutional Review Board at the Sheba Medical Center (no. 1197-14-SMC), and all patients provided a written informed consent.
This trial is registered with ClinicalTrials.gov, number NCT02343848.
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