Statistica 13.0 for windows

Manufactured by StatSoft

Statistica 13.0 for Windows is a comprehensive data analysis and visualization software. It provides a wide range of statistical tools and techniques for data management, exploration, modeling, and reporting. The software is designed to handle large and complex datasets, enabling users to analyze and interpret data effectively.

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Lab products found in correlation

Spss 24.0 for windows, by IBM (1 mentions)

2 protocols using statistica 13.0 for windows

Statistical Analysis of Survival Data

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Results are presented as mean SD or a percentage of the total. Continuous data were compared by means of Student’s t test. Categorical variables were analyzed by Fisher’s exact test and the χ² test. Differences between the groups in creatinine concentration were analyzed by the nonparametric Mann-Whitney test. Non-paired variables were analyzed by the unpaired t test. A p-value 0.05 was considered statistically significant.
Overall survival was calculated using the Kaplan-Meier method. Independent variables were first analyzed with univariate analysis. Variables with p < 0.10 in the univariate model were entered into a Cox proportional hazards regression model for multivariate analysis. Statistical significance was defined as p < 0.05.
Data were analyzed using SPSS 24.0 for Windows (SPSS Inc., Chicago, IL) and Statistica 13.0 for Windows by StatSoft.

Biernacka-Fiałkowska B., Szuksztul M., Suślik W., Dzierwa K., Tekieli Ł., Kostkiewicz M., Podolec P, & Pieniążek P. (2018). Intravenous N-acetylcysteine for the PRevention Of Contrast-induced nephropathy – a prospective, single-center, randomized, placebo-controlled trial. The INPROC trial. Postępy w Kardiologii Interwencyjnej = Advances in Interventional Cardiology, 14(1), 59-66.

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Evaluating Macrophyte Dynamics in Clarification Ponds

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Non-parametric analysis of variance (Kruskal–Wallis test) was used to assess the differences between years concerning the physical and chemical parameters of the water and a biomass of submerged macrophyte in the clarification pond. All the analyses were performed with Statistica 13.0 for Windows, Statsoft, Tulsa. The level of significance was set to a P < 0.05.
The relationships between phytoplankton characteristics and environmental parameters were tested with the redundancy analysis (RDA) of canonical ordination. The Monte Carlo permutation test (999) was then used. All tested parameters were standardized using log (x + 1)-transformation. Response data were compositional and had a gradient of 0.1 SD units long, thus, a linear method was recommended. The explanatory variables were additionally chosen after the analysis of variance inflation factor (VIF) and variables that had a VIF smaller than 10. The RDA was performed for phytoplankton characteristics (biomass, density and chlorophyll a) and nine environmental variables: EC, TDS, TSS, ISS, turbidity, SDD, ammonium, TP and Fe.

Napiórkowska-Krzebietke A, & Skrzypczak A.R. (2021). A new charophyte habitat with a stabilized good ecological potential of mine water. Scientific Reports, 11, 14564.

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