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Sigmastat 3.5 for windows

Manufactured by Grafiti LLC
Sourced in United States

SigmaStat 3.5 for Windows is a statistical analysis software package designed for scientific and research applications. It provides a range of statistical tests and procedures to analyze data and obtain meaningful insights. The software is compatible with the Windows operating system.

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20 protocols using sigmastat 3.5 for windows

1

Quantitative Analysis of SEA Detection

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Statistical analysis was performed with SigmaStat 3.5 for Windows (Systat Software, San Jose, CA, USA). One-way analysis of variance was used to determine the detection of SEA. The experiments were repeated at least three times, and results with p < 0.05 were considered statistically significant. A t-test analysis was used to determine whether there were any significant differences between treatment and control.
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2

Evaluating rSPE-C Activity and Immune Response

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SigmaStat 3.5 for Windows from Systat Software (San Jose, CA) was used to perform statistical analysis of data. The proliferation of splenocytes in response to SEA, SEE, and rSPE-C, measurement of active rSPE-C by biochemiluminescence and IL-2 secretion were performed in triplicate. A value of P < 0.05 was used as the basis of statistical significance. A t-test analysis was used to determine whether there were any significant differences between thermal treatments and unheated controls on rSPE-C activity.
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3

Corneal Inflammation Quantification Protocol

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For IVCM data, differences in infiltrating cells and limbal vessel dilation were compared across treatments using ANOVA, with the Holm-Sidak multiple comparison methods to isolate pairwise differences. A two-tailed alpha level of < 0.05 was considered significant. SigmaStat 3.5 for Windows (Systat Software Inc., Chicago, USA) used for analysis.
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4

Statistical Analysis of Probiotic Effects

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Statistical analysis was performed using the SigmaStat 3.5 for Windows program (Systat Software, Inc., San Jose, CA, USA). For analysis between different times of the same individual, the paired t-test or the Wilcoxon test was used. The comparison between the probiotic group and the placebo group was made using the Student t test for variables with normal distribution, and Mann-Whitney for variables that did not have a normal distribution, and p < 0.05 was considered statistically significant. Confidence intervals were constructed with 95% statistical confidence.
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5

Nhe Treatment Effects Analysis

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All experiments were repeated at least three times and one-way analysis of variance (ANOVA) was performed using SigmaStat 3.5 for Windows from Systat Software (San Jose, CA, USA) to compare between the different Nhe treatments. Statistical significance of results was established with p < 0.05.
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6

Statistical Analysis of Treatment Groups

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Analyses were performed with SigmaStat 3.5 for Windows (Systat Software, San Jose, CA). Comparisons of multiple treatment groups were made using one-way analysis of variance (ANOVA) (Holm-Sidak method).
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7

Modeling Ag Wt% in Wear-out

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Results are expressed as mean ± standard deviation. Statistical analysis was conducted with Student’s t-test or one-way analysis of variance, followed by the Kruskal–Wallis test, using SigmaStat 3.5 for Windows (Systat Software, Chicago, IL). Linear regression was performed to develop a model for the predicted weight percentage (wt%) of Ag based on the wear-out duration (hours). A P value of <0.05 was considered statistically significant.
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8

Statistical Analysis of Treatment Outcomes

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Analyses were performed with SigmaStat 3.5 for Windows (Systat Software, San Jose, CA). Comparisons of two treatment groups were made using an unpaired Student’s t-test. Comparisons of three or more treatment groups were made using One Way Analysis of Variance using the Holm-Sidak method.
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9

Survey of Propofol Abuse in Korea

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A total of 45 propofol abusers (non-healthcare professionals) were asked to participate in a survey with the aid of the Namdong Police (Incheon, Korea) in order to secure an abuser list. The MFDS conducted this survey between October and December 2010.
Among the 45 abusers, 38 consented to publication of their information for scientific purposes. The demographics of these 38, non-healthcare professionals are detailed in Table 1. The questionnaire was subdivided into three parts as shown in the Appendix:

Part 1 dealt with the history of propofol abuse and was designed to obtain general information regarding an individual's history of propofol abuse;

Part 2 attempted to identify the problems caused by propofol abuse; the second part attempted to identify the social and economic problems caused by the abuse; and

Part 3 recorded the demographics of the interviewed abusers.

Statistical analysis was carried out using SigmaStat 3.5 for Windows (Systat Software, Inc., Chicago, IL, USA). The data are expressed as the mean (SD) for normally distributed continuous variables, the median (range) for abnormally distributed continuous variables, and the counts and percentages for the categorical variables.
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10

Evaluating Infusion Group Effects

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Data are given as the mean ± SEM. Independent experiments (n = 6 to 8) were performed per group and time-point. Two-way analysis of variance (ANOVA) was performed to test for differences between different infusion groups. Post-hoc analysis was carried out using Student-Newman-Keuls test. Probability (P) values <0.05 were considered to indicate statistical significance. Analysis was carried out using SigmaStat® 3.5 for Windows (Systat Software GmbH; Erkrath, Germany).
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