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Sigmastat version 3.5 for windows

Manufactured by Grafiti LLC
Sourced in Austria

SigmaStat version 3.5 for Windows is a statistical analysis software package. It provides tools for data analysis and presentation.

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6 protocols using sigmastat version 3.5 for windows

1

Statistical Analyses Methodology Protocol

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Statistical analyses were conducted using R (version 3.5.2; R Foundation for Statistical Computing, Vienna, Austria) or SigmaStat version 3.5 for Windows (Systat Software, Inc, Chicago, IL, USA). Data are expressed as mean ± standard deviation for normally distributed continuous variables, median (25-75%) for non-normally distributed continuous variables, or counts for categorical variables.
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2

Statistical Analysis Protocols for Research

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Statistical analyses were conducted using R (version 3.5.1; R Foundation for Statistical Computing, Vienna, Austria) or SigmaStat version 3.5 for Windows (Systat Software, Inc., San Jose, CA, USA) as appropriate. Data are expressed as mean ± standard deviation for normally distributed continuous variables, median (25−75%) for nonnormally distributed continuous variables, and counts and percentages for categorical variables.
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3

Statistical Analysis Procedures

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Statistical analyses were conducted using R (version 3.5.2; R Foundation for Statistical Computing, Vienna, Austria) or SigmaStat version 3.5 for Windows (Systat Software, Inc, Chicago, IL, USA). Data are expressed as mean ± standard deviation for normally distributed continuous variables, median (25–75%) for non-normally distributed continuous variables, or counts for categorical variables.
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4

Statistical Analysis of Research Data

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Statistical analyses were conducted using R (version 3.1.2, R Foundation for Statistical Computing, Vienna, Austria) or SigmaStat version 3.5 for Windows (Systat Software, Chicago, IL, USA). Data were expressed as mean ± SD for normally distributed continuous variables, medians (25–75%) for non-normally distributed continuous variables, and numbers and percentages for categorical variables. P values of less than 0.05 were considered statistically significant for all analyses.
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5

Genetic and Metabolic Factors in Patients

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Comparison of genotype frequencies between groups of patients was performed using a x2 test. The t-test was applied to compare continuous variables. The results are reported as means ± SD. These analyses were performed with adjustments for age, sex, and clinical form by multivariable modeling. Pearson's correlation coefficients were used to calculate correlations between BMI z score (zBMI), GC dose, insulin, HOMA, and lipid levels after correction for age and sex. P < 0.05 was considered to be significant. Hardy-Weinberg equilibrium was calculated.
Statistical analysis was performed using the software SigmaStat version 3.5 for Windows (Systat Software, Point Richmond, CA).
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6

Randomized Trial of Atopic Dermatitis Treatment

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The primary analysis was performed in a modified intention-to-treat (ITT) population consisting of all randomized patients who were at the challenge chamber on at least 1 challenge day. The primary analysis was done with analysis of covariance by using treatment group and baseline SCORAD score as covariables. Further analyses were performed by using either the Student unpaired t test and paired t test (normality test passed) or the Mann-Whitney rank sum test or Wilcoxon signed-rank test (normality test failed). P values of less than .05 were regarded as significant. GraphPad prism software, version 5.02 (GraphPad Software, San Diego, Calif); SigmaStat version 3.5 for Windows (Systat Software, Jan Jose, Calif); and SPSS 22.0 (SPSS, Chicago, Ill) were used for statistical analysis.
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