Statistica 6

Manufactured by StatSoft

Sourced in United States, Italy, Poland, United Kingdom, France, Germany, Czechia

Statistica 6.0 is a comprehensive data analysis and statistical software package developed by StatSoft. The software provides a range of tools for data management, visualization, and advanced statistical analysis. Statistica 6.0 is designed to handle a variety of data types and offers a user-friendly interface for researchers, analysts, and professionals across different industries.

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Lab products found in correlation

Prism 5, by GraphPad (5 mentions) Spss statistics version 23, by IBM (3 mentions) Prism 6, by GraphPad (3 mentions) Prism 4, by GraphPad (3 mentions) Prism v6, by GraphPad (3 mentions) Prism 8, by GraphPad (2 mentions) Expression console, by Thermo Fisher Scientific (2 mentions) Spss statistic, by IBM (2 mentions) Sigmaplot 12, by Grafiti LLC (2 mentions) Power sybr green, by Thermo Fisher Scientific (2 mentions) Origin 6, by Malvern Panalytical (2 mentions) Instat, by GraphPad (2 mentions) Stata version 14, by StataCorp (2 mentions) Outlier calculator, by GraphPad (2 mentions) Microsoft excel, by IBM (1 mentions) Origin 8, by Corel (1 mentions) Clampfit 10, by Molecular Devices (1 mentions) Origin 2016, by OriginLab (1 mentions) Genstat, by VSN International (1 mentions) Jmp 7, by SAS Institute (1 mentions)

Spelling variants of this product

Statistica (1482 citations) Statistica software, version 6.0 (34 citations) Statistica for Windows Version 6.0 (8 citations) Statistica 6.0 for Windows (8 citations) Statistica 6.0 for Windows 1998 (3 citations) Statistica (2001) version 6 (3 citations) STATISTICA 6.0 package for Windows (2 citations) STATISTICA software v. 6.0 (2 citations) Statistica 6.0 per Windows 1998 (2 citations) Statistica software package for Windows version 6.0 (2 citations)

542 protocols using statistica 6

Prognostic Factors for Engraftment

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Statistical analysis was performed using Statistica 6 (StatSoft) package. Data were presented as median with minimum-maximum or interquartile ranges. Fisher exact test were used to determine relationships between categorical variables. The Mann-Whitney U test and Kruskal–Wallis test were used to calculate differences between groups of patients. Spearman’s rank correlation was used to evaluate associations for continuous variables. Logistic regression was used to measure the influence of the independent variable (absolute autograft CD4⁺FOXP3⁺ T cell count) upon the dependent variable (lower or higher absolute PB CD4⁺FOXP3⁺ T cell count at the day of engraftment). To determine a predictive significance ROC analysis was performed. P values presented were two-sided. P < 0.05 was considered statistically significant. Statistical analysis was performed using Statistica 6 (StatSoft, USA) package. Graphs were prepared using GraphPad Prism 5 software (GraphPad Software, Inc., USA).

Batorov E.V., Tikhonova M.A., Pronkina N.V., Kryuchkova I.V., Sergeevicheva V.V., Sizikova S.A., Ushakova G.Y., Aristova T.A., Batorova D.S., Menyaeva E.V., Gilevich A.V., Shevela E.Y., Ostanin A.A, & Chernykh E.R. (2018). Increased circulating CD4+FOXP3+ T cells associate with early relapse following autologous hematopoietic stem cell transplantation in multiple myeloma patients. Oncotarget, 9(43), 27305-27317.

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Multivariate Analysis of LV Function

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Statistical analyses were performed with Statistica 6 (StatSoft, Inc). Continuous variables are expressed as a mean ± standard deviation or median (interquartile range) and categorical variables as a number (percentage). Continuous variables were first checked for normal distribution by the Shapiro-Wilk statistic and compared by ANOVA when normally distributed or by the Kruskal-Wallis test for non-normally distributed variables, both with appropriate post-hoc tests. Categorical variables were analyzed by χ² or Fisher’s exact test. Pearson’s or Spearman’s rank correlation coefficients were calculated to test the association between two variables with a normal or non-normal distribution, respectively. Multivariate regression analysis was used to determine independent predictors of changes of LV function and remodeling. A p-value of less than 0.05 was considered statistically significant.

Krawczyk K., Stepien K., Nowak K., Nessler J, & Zalewski J. (2019). ST-segment re-elevation following primary angioplasty in acute myocardial infarction with patent infarct-related artery: impact on left ventricular function recovery and remodeling. Postępy w Kardiologii Interwencyjnej = Advances in Interventional Cardiology, 15(4), 412-421.

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Nonparametric Statistical Analysis

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All data are means ± SEM. Significance was analyzed using the Mann-Whitney test with STATISTICA 6 (StatSoft, Inc., OK).

Danilov S.M., Tikhomirova V.E., Kryukova O.V., Balatsky A.V., Bulaeva N.I., Golukhova E.Z., Bokeria L.A., Samokhodskaya L.M, & Kost O.A. (2018). Conformational fingerprint of blood and tissue ACEs: Personalized approach. PLoS ONE, 13(12), e0209861.

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Muscle Comparison in Mice on HFD

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The Mann-Whitney U test was used for comparisons between muscles (tibialis anterior versus soleus) and groups (control mice versus HFD mice). Data were expressed as mean ± standard deviation (SD). Threshold for statistical significance was set to P = 0.05. All statistical tests were performed with Statistica 6 (Statsoft Inc., Tulsa, OK, USA) software package.

Collino M., Mastrocola R., Nigro D., Chiazza F., Aragno M., D'Antona G, & Minetto M.A. (2014). Variability in Myosteatosis and Insulin Resistance Induced by High-Fat Diet in Mouse Skeletal Muscles. BioMed Research International, 2014, 569623.

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Statistical Analysis of Experimental Findings

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The findings were tested by the one-way analysis of variance (ANOVA). Tukey’s test was used for post hoc analysis. Each test was performed separately. All analyses were performed using Statistica 6 software (StatSoft Polska, Poland). Differences were significant at p < 0.05.

Kaczmarek A., Wrońska A.K., Kazek M, & Boguś M.I. (2020). Metamorphosis-related changes in the free fatty acid profiles of Sarcophaga (Liopygia) argyrostoma (Robineau-Desvoidy, 1830). Scientific Reports, 10, 17337.

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Statistical Analysis of Neurotrophic Factors

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Statistical analyses were performed using the software package Statistica 6 by StatSoft. Results are presented as median ± quartiles (25–75 %) and min–max. Statistical significance of differences between the values of analyzed samples was evaluated by the nonparametric Wilcoxon test for NGF determination and Student’s t test for MTT, NGF expression, BDNF, and IL-6 determination. A value of *p ≤ 0.05 was considered statistically significant.

Zabłocka A., Mitkiewicz M., Macała J, & Janusz M. (2015). Neurotrophic Activity of Cultured Cell Line U87 is Up-Regulated by Proline-Rich Polypeptide Complex and Its Constituent Nonapeptide. Cellular and Molecular Neurobiology, 35(7), 977-986.

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Nonparametric Statistical Analysis

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All data are means ± SEM. Significance was analyzed using the Mann-Whitney test with STATISTICA 6 (StatSoft, Inc., OK).

Tikhomirova V.E., Kost O.A., Kryukova O.V., Golukhova E.Z., Bulaeva N.I., Zholbaeva A.Z., Bokeria L.A., Garcia J.G, & Danilov S.M. (2017). ACE phenotyping in human heart. PLoS ONE, 12(8), e0181976.

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Analysis of Protein Expression

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Each result is indicated as the mean value of at least five independent experiments ± the standard error of the mean (SEM). Significant difference was analyzed by Student's t-test. A P-value of 0.05 was used as the cut-off for statistical significance. Results were analyzed by means of Statistica 6 (ver. 6, 2001; StatSoft Inc.).

Samoilova Z., Tyulenev A., Muzyka N., Smirnova G, & Oktyabrsky O. (2019). Tannic and gallic acids alter redox-parameters of the medium and modulate biofilm formation. AIMS Microbiology, 5(4), 379-392.

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Comparative Analysis of Drug Effects

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For each drug (and drug combination), TWLs and HWTs were averaged by dose and treatment time and subjected to analysis of variance (ANOVA) using repeated measures. Drug effects were then compared between drug treatments at each testing time point by pairwise comparisons using Tukey's test when a significant time by drug interaction was observed. Statistical analyses were performed using Statistica 6 (StatSoft, Tulsa, OK) and GraphPad Prism (version 5, GraphPad Software, San Diego, CA).

Weltrowska G., Nguyen T.M., Chung N.N., Wood J., Ma X., Guo J., Wilkes B.C., Ge Y., Laferrière A., Coderre T.J, & Schiller P.W. (2016). A Cyclic Tetrapeptide (“Cyclodal”) and Its Mirror-Image Isomer Are Both High-Affinity μ Opioid Receptor Antagonists. Journal of medicinal chemistry, 59(19), 9243-9254.

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Statistical Analysis of Experimental Data

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Statistical analysis was performed by using STATISTICA6 software
(StatSoft Inc.). Values of statistical significance of data were assessed by
unpaired two-tailed Student’s t-test. Data represent
mean ± s.d. P values of < 0.05 were considered
significant.

Usui A., Ko S.Y., Barengo N, & Naora H. (2014). P-cadherin Promotes Ovarian Cancer Dissemination Through Tumor Cell Aggregation and Tumor-peritoneum Interactions. Molecular cancer research : MCR, 12(4), 504-513.

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