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Spss statistical software v 15

Manufactured by IBM
Sourced in United States

SPSS statistical software v. 15.0 is a data analysis and statistical software package. It is designed to perform a wide range of statistical analyses, including descriptive statistics, regression analysis, and hypothesis testing. The software is commonly used in social science research, market research, and other fields that require data analysis.

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Lab products found in correlation

2 protocols using spss statistical software v 15

1

Cardiac Troponin I Diagnostic Accuracy

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Statistical analyses and graphs were performed by SPSS statistical software v. 15.0 (SPSS Inc., Chicago, IL, USA) and R software v. 2.15.1 (R Foundation for Statistical Computing). Differences between groups were estimated by non-parametric Kruskal-Wallis (with Bonferroni correction for multiple comparisons) or Mann-Whitney tests. Differences in proportions were estimated by Chi-squared or Fisher’s exact test. Confidence intervals (CI) were calculated using CIA software v. 2.1.1 (by T Bryant, University of Southampton, UK). Distribution of basal and subsequent cTnI data, assessed by the Kolmogorov–Smirnov and the Shapiro-Wilk tests, and visually by histogram and kernel density plot, was found to be highly skewed. Predictors for positive cTnI test (> 40 ng/L) were estimated by univariate and multivariate logistic regression. Sensitivity (Se), specificity (Sp), positive predictive value (PPV) and negative predictive value (NPV) to detect “unequivocal ACS” were calculated in the whole sample and in three subgroups (see column 1 in Table 2) and were provided with their 95% confidence intervals, according to the efficient-score method (corrected for continuity).
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2

Ovulation Patterns in Adolescent Girls

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All urinary PdG/creatinine values obtained from each girl were analysed to calculate the minimum value in the data set and the threshold of three times above the minimum value as proof of ovulation in each girl. 18 (link) Values greater than three times the minimum value for urinary PdG/urinary creatinine on each data set were identified. The presence of at least one value greater than three times the minimum value for urinary PdG/urinary creatinine over 12 weeks was used to define a positive ovulatory pattern. Two or more values and one value greater than three times the minimum value for urinary PdG/urinary creatinine over 12 weeks were classified as persistent and sporadic ovulatory pattern, respectively. Figure 1A and figure 1B are examples of two girls in this cohort with positive ovulation pattern identified by this method. Categorical data were summarised with the use of frequency of distributions. Continuous data were summarised as means and SD or median and IQRs according to normality. SPSS statistical software (V.15.0) was used for data analysis.
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