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Spss statistics for mac ver 26

Manufactured by IBM

SPSS Statistics for Mac Ver. 26 is a data analysis software that enables users to manage and analyze data. It provides a range of statistical techniques and tools to help users explore, visualize, and interpret data.

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Lab products found in correlation

2 protocols using spss statistics for mac ver 26

1

Pediatric Posaconazole Pharmacokinetics

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Statistical analysis was performed with SPSS Statistics for Mac Ver. 26 (SPSS Inc., Chicago, IL). Patients were divided into three groups (<6, 6–12, and >12 years old) according to previous literature (Döring et al., 2017 (link); Lavigne et al., 2019 (link)). Descriptive statistics included the mean, standard deviation, and median. The categorical variables were expressed as frequency and percentage. Categorical variables were compared using χ2 test or Fisher’s exact test. Continuous variables were compared using Mann-Whitney U-test or Kruskal-Wallis H test. The correlation between two continuous variables was examined using the Spearman correlation coefficient. The association of Cmin with efficacy and safety was analyzed by logistic regression. Affecting factors of PCZ trough concentrations were analyzed using multivariate analysis by linear regression. p values < 0.05 were considered statistically significant.
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2

Pharmacokinetic-Pharmacodynamic Analysis of Posaconazole

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Descriptive statistics included the mean, standard deviation, and median. The categorical variables were expressed as frequency and percentage. Baseline demographics and plasma PCZ concentrations differences between groups were analyzed by using the chisquare test, ManneWhitney U test, or KruskaleWallis test, as appropriate. The association of Cmin with efficacy and safety was analyzed by logistic regression to obtain the target PCZ trough plasma concentration range. The logistic regression model was calculated according to equation (1), the Pi value reflected the probability of PCZ related response in the individual and was calculated as equation (2). θ1 is the baseline probability of response; θ2 is the logarithm of the contribution ratio of drug exposure; λi is the logit value, the natural logarithm of odds ratio.
Considering the large variations in PCZ daily doses, we further normalized the PCZ concentrations to dose and investigated their correlation with various potential risk factors. Both univariate and multivariate linear regression analyses were used to identify the relationship between dose normalized PCZ concentration and potential factors. Data analysis was performed with SPSS Statistics for Mac Ver. 26 (SPSS Inc., Chicago, IL). GraphPad Software (GraphPad Prism 7.0) was used for mapping. Values of P < 0.05 were considered statistically significant.
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