Xlstat

Manufactured by GraphPad

Sourced in France

XLSTAT is a software package that provides advanced statistical analysis and data mining capabilities. It is designed to integrate seamlessly with Microsoft Excel, allowing users to perform a wide range of statistical analyses directly within the Excel environment.

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Lab products found in correlation

Prism 4, by GraphPad (3 mentions) Prism 5.0a, by GraphPad (1 mentions) Simca v15, by Sartorius (1 mentions) Prism 7, by GraphPad (1 mentions) Prism 6, by GraphPad (1 mentions)

9 protocols using xlstat

Prognostic Analysis of Survival Outcomes

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Clinical and biological features between groups were compared using the Fisher exact test for categorical data and the nonparametric Mann-Whitney U or t tests for continuous variables; continuous variables from related samples were compared using the Wilcoxon test. A p value <0.05 was considered significant. OS was calculated from the date of diagnosis to the date of death or last follow-up. TTT was calculated from the date of diagnosis to the date of first treatment or last follow-up, considering disease-unrelated deaths as competing events. The log-rank test was used to compare Kaplan-Meier curves of OS; the Gray test was used to compare cumulative incidence curves of TTT. Multivariate analyses of prognostic factors were modeled using Cox and Fine-Gray regression models as previously described [34 (link)]. Statistical analyses were carried out using GraphPad Prism version 7.0 for Windows (GraphPad Software, San Diego, CA) and XLSTAT version 2014. 5.03 (AddinsoftTM).

Minervini A., Minervini F.C., Anelli L., Zagaria A., Casieri P., Coccaro N., Cumbo C., Tota G., Impera L., Orsini P., Brunetti C., Giordano A., Specchia G, & Albano F. (2016). Droplet digital PCR analysis of NOTCH1 gene mutations in chronic lymphocytic leukemia. Oncotarget, 7(52), 86469-86479.

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Prognostic Significance of Protein Expression

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The data presented represent the mean with standard deviation (SD) of at least three independent experiments. The statistical significance was determined by Student’s t-test and by one-way and two-way ANOVA with Bonferroni’s posttest; ^∗p < 0.05. Patients were divided in three groups according to high, moderate, or low expression of protein target. The Kaplan–Meier (KM) method was also used for OS and progression-free survival (PFS) analysis. For univariate and multivariate analysis of significance, the log-rank test or Cox analysis was used (Graph Pad and XLSTAT). A value of ^∗p < 0.05 was considered as statistically significant. The statistical analysis of IC₅₀ levels was performed using Prism 5.0a (Graph Pad).

Marinelli O., Annibali D., Morelli M.B., Zeppa L., Tuyaerts S., Aguzzi C., Amantini C., Maggi F., Ferretti B., Santoni G., Amant F, & Nabissi M. (2020). Biological Function of PD-L2 and Correlation With Overall Survival in Type II Endometrial Cancer. Frontiers in Oncology, 10, 538064.

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Statistical Analysis of Experimental Data

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All data are presented as the mean ± standard deviation (SD) of individual experimental groups. Pairs of groups were compared using the Mann–Whitney U test. Differences were considered significant when the P value was as follows: p < 0.05; p < 0.01; p < 0.001. Statistical analyses were carried out using Prism 4.0 from GraphPad and XLSTAT.

Charlet R., Bortolus C., Sendid B, & Jawhara S. (2020). Bacteroides thetaiotaomicron and Lactobacillus johnsonii modulate intestinal inflammation and eliminate fungi via enzymatic hydrolysis of the fungal cell wall. Scientific Reports, 10, 11510.

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Statistical Analysis of Experimental Data

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Statistical analysis was performed using XLSTAT and Prism 4.0 (GraphPad). Data were analyzed using the Mann-Whitney U test to compare pairs of groups. The results are expressed as the mean ± SD of individual experimental groups. Differences were considered significant when the P-value was < 0.05.

Leroy J., Bortolus C., Lecointe K., Parny M., Charlet R., Sendid B, & Jawhara S. (2019). Fungal Chitin Reduces Platelet Activation Mediated via TLR8 Stimulation. Frontiers in Cellular and Infection Microbiology, 9, 383.

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Whitefly Infestation Response in Cassava

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Quality and general overview of data was revised using principal component analysis (SIMCA v15, Umetrics). Data matrices were analysed using two strategies: (i) By pair-wise comparisons of genotypes per time-point using multiple t-test comparisons corrected by Holm-Sidak post-hoc test (α = 0.05); (ii) by investigating how each variety responds to the infestation of the whitefly by using analysis of variance (ANOVA) and multiple mean comparison Tukey HSD, Bonferroni or Dunnett post-hoc tests using pre-infestation time-point (T0) as control. Statistical analysis and graphs were performed using the XLSTAT, GraphPad Prism 7 and MetaboAnalyst online platform.
Results were painted over bespoken pathways constructed from KEGG and Manihot esculenta-PlantCyc dedicated databases and literature references.

Perez-Fons L., Bohorquez-Chaux A., Irigoyen M.L., Garceau D.C., Morreel K., Boerjan W., Walling L.L., Becerra Lopez-Lavalle L.A, & Fraser P.D. (2019). A metabolomics characterisation of natural variation in the resistance of cassava to whitefly. BMC Plant Biology, 19, 518.

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Statistical Analysis of Biological Experiments

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R version 3.2.3, XLSTAT version 1.2 or Prism 6.0 software (GraphPad) were used for statistical analyses. The level of significance was set at p < 0.05. The type of statistical test used is provided in the figure legends. All experiments were performed using independent biological samples with the exception of the ChIP-seq. All experiments were repeated at least three times in an independent manner with the exception of the microarray experiment. PCA analysis was performed on XLSTAT version 1.2, based on a Pearson correlation matrix. First and second component (F1 and F2 axis) were used to generate a correlation circle where the variables (genes) were plotted as vectors according to their correlation with F1 and F2 axis.
The figures were prepared using Adobe Illustrator (Adobe Systems).

Bogeas A., Morvan-Dubois G., El-Habr E.A., Lejeune F.X., Defrance M., Narayanan A., Kuranda K., Burel-Vandenbos F., Sayd S., Delaunay V., Dubois L.G., Parrinello H., Rialle S., Fabrega S., Idbaih A., Haiech J., Bièche I., Virolle T., Goodhardt M., Chneiweiss H, & Junier M.P. (2017). Changes in chromatin state reveal ARNT2 at a node of a tumorigenic transcription factor signature driving glioblastoma cell aggressiveness. Acta Neuropathologica, 135(2), 267-283.

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Behavioral Assessment of Mouse Model

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All data are expressed as the mean ± standard deviation for each experimental group. Pairs of groups are compared using the Mann–Whitney U test. Data are considered to be statistically significant when the P value is as follows: P < 0.05; P < 0.01; P < 0.001. All statistical analyses are performed using GraphPad Prism 4.0 and XLSTAT.

Charlet R., Bortolus C., Barbet M., Sendid B, & Jawhara S. (2018). A decrease in anaerobic bacteria promotes Candida glabrata overgrowth while β-glucan treatment restores the gut microbiota and attenuates colitis. Gut Pathogens, 10, 50.

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Statistical Analysis of Experimental Data

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Data processing and analysis were conducted using tools from Microsoft Excel, GraphPad Prism, and XLStat. Analysis of Variance (ANOVA) was used to calculate p values. Significance of correlations was calculated as the two-sided probability value of the Pearson correlation coefficient.

Buchanan E.L., Espinoza D.A., McAlexander M.A., Myers S.L., Moyer A, & Witwer K.W. (2016). SAMHD1 transcript upregulation during SIV infection of the central nervous system does not associate with reduced viral load. Scientific Reports, 6, 22629.

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Statistical Analysis of Experimental Data

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Prism and XLSTAT software (GraphPad Software, San Diego, CA and Addinsoft, Paris, France, respectively) were used for data analysis, and a P value with an alpha of 0.05 was used as the cutoff for significance.

Cortez F.J., Gebhart D., Tandel D., Robinson P.V., Seftel D., Wilson D.M., Maahs D.M., Buckingham B.A., Miller K.W.P, & Tsai C.T. (2022). Automation of a multiplex agglutination-PCR (ADAP) type 1 diabetes (T1D) assay for the rapid analysis of islet autoantibodies. SLAS technology, 27(1).

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