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Sigmaplot 8

Manufactured by IBM
Sourced in United States

SigmaPlot 8.0 is a data analysis and graphing software developed by Systat Software Inc. It is designed to provide users with tools for visualizing, analyzing, and presenting data. The software offers a range of features for creating high-quality graphs and charts, as well as performing advanced statistical analysis.

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28 protocols using sigmaplot 8

1

Statistical Analysis of Research Data

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For statistical evaluation of results and significance testing of group differences, a Mann–Whitney test was performed using GraphPad Prism software (Version 5.0, GraphPad Software Inc., San Diego, CA, USA) and graphs were generated using Sigma Plot 8.0 software (SPSS Inc., Chicago, IL, USA) and GraphPad Prism software. Data were presented as means (and ±S.E.M.). Groups were considered to be significantly different at p < 0.05 for a parameter.
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2

Comparison of Statistical Methods

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Data were expressed as mean ± standard deviation (SD). Statistical analysis was performed using SigmaPlot 8.0 statistical software (SPSS Inc., Chicago, IL, USA), and a Student t-test was set to p < 0.05 and p < 0.005.
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3

Pharmacokinetics and Xenograft Efficacy

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Unless otherwise indicated, all experiments have been performed independently at least three times. Half-maximal inhibitory concentration (IC50) values were calculated using Sigmaplot 8.0 (SPSS Inc., Chicago, IL, USA), computing a four-parameter logistic equation from inhibition curves. Total drug exposure in mice and Cmax in rats was compared using an unpaired t-test. Inhibitor efficacy in the myeloma xenograft model was compared using a two-way ANOVA with Bonferroni posttests comparing all treatment conditions.
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4

Concentration-response Characterization of Compounds

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The test substances were applied in an alternating manner with 5-HT. Therefore, the currents of the test substances or the modulated currents were normalized to the mean of the 5-HT-induced currents before and after the test substance was applied. The concentration-response data were fitted with the Hill equation with variable slope using SigmaPlot 8.0 (SPSS). Thereby, the calculation of the EC50 and IC50-values was done. The deviations are represented by the standard error of the mean (SEM). The datasets were tested for statistically significant differences through Student's t-test using Excel 2010 (Microsoft) (*p < 0.05; **p < 0.005; ***p < 0.0005). For multiple comparisons, the significance levels were corrected via Bonferroni-correction.
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5

Statistical Analysis of Experimental Data

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Experimental results were expressed as mean ± standard deviation (SD) of three parallel measurements (SigmaPlot 8.0; SPSS Inc. Chicago, IL, USA).
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6

Paclitaxel Median Inhibitory Concentrations

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The median inhibitory concentrations (IC50) of paclitaxel were calculated using Sigma Plot 8.0 software (SPSS, Inc., Chicago, IL). All numerical data were expressed as the mean ± SD. Significance of the difference between two groups was determined with the Mann–Whitney U test. A p value less than 0.05 was considered to be statistically significant.
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7

Statistical Analysis of Two-Way Interactions

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Sources of significant two-way interactions were examined by main effect analysis. F-values are only reported for significant interactions and main effects, unless non-significant main effects or interactions are necessary to illustrate a relevant lack of significance. Effect sizes of significant ANOVAs are reported as partial eta squared (η2p). The Neuman-Keuls test was used for post-hoc comparison of means where appropriate. The alpha level was set at 0.05. All statistical analyses were conducted using the Statistica 12 software package (StatSoft, Inc., Tulsa, OK, USA). Figures were made using the SigmaPlot 8.0 software package (SPSS, Chicago, Il, USA).
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8

Statistical Analysis of Experimental Data

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Data were treated with ANOVA and a post hoc test using SigmaPlot 8.0 and Systat 10.0 (SPSS Inc., Chigago, III). Comparison of 2 means was performed using paired or unpaired Student's t test, as appropriate. All p values were two-tailed, and p<0.05 was required to reject the null hypothesis. Results were expressed as mean±SEM of triplet experiments.
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9

qPCR Data Analysis Protocol

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Continuous normally distributed variables are summarized and presented as the mean ± standard deviation (SD). qPCR data were presented as the mean value, determined using duplicates. To calculate the relative expression, the expression of the control was fixed at 1. Statistical analysis was performed using SigmaPlot 8.0 statistical software (SPSS Inc., Chicago, IL, USA), and two-sided Student’s t tests were used. Differences with p < 0.05 were considered significant.
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10

ICD-10 Diagnosis and Statistical Analysis

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Data processing was based on the documented diagnosis key (according to ICD-10 coding) in the MCS ISYNET (version 6.56.1404 NFAArzt) for outpatients, or on the ICPM search list with the ORBIS Software (QRP version 1.01.02.002) and the digital patient file Pegasos for inpatients.
Statistical analysis was performed with SigmaPlot 8.0 and SigmaStat 3.0 (SPSS Inc, Chicago, USA). Firstly, a test for normal distribution was performed for each record. Depending on whether it was a normally distributed or not normally distributed sample, the specific test was performed, including analysis of variance (ANOVA). The significance level was set at P≤0.05.
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