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Analyse-it

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Analyse-it extends Excel to a comprehensive statistics program. Price and quality distinguish Analyse-it. Convince yourself now in the STATCON online store!
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Product information "Analyse-it "

🧮 Analyse-it: The Powerful Excel Add-In for Statistics & Clinical Research
📊 Professional Statistical Analyses Directly in Excel
Analyse-it is a powerful statistics add-in for Excel that integrates seamlessly with Microsoft Excel. The software offers a comprehensive suite of statistical methods and charts – ideal for clinical research, scientific studies, and data analysis.

🚀 Why Choose Analyse-it?
✔ Easy integration with Excel – No separate software required.
✔ Accurate statistical analyses – Wide range of parametric & non-parametric tests.
✔ Perfect for clinical research – Specialized methods for method evaluation & validation.
✔ User-friendly & cost-effective – As powerful as expensive statistical software, but more affordable & intuitive.

🔬 Independent Statistical Functions for Maximum Accuracy
Unlike standard Excel functions, Analyse-it doesn't rely on built-in tools but uses independently re-coded statistical functions. This ensures:
✅ Highest accuracy & flexibility in statistical calculations.
✅ Validatable analyses – Ideal for clinical trials & medical research.
✅ In-house validation & performance testing – Software tested for specific applications.

📉 Diverse Statistical Tests & Visualizations
🔹 Parametric & non-parametric tests – e.g., correlations, multiple regression, ANOVA & chi-square tests.
🔹 Data visualization – Easily create boxplots, whisker plots & other charts to analyze distributions & outliers.
🔹 Trend analysis & data modeling – Optimal solutions for scientific & clinical research.

🏥 Analyse-it for Clinical Research
📌 The Method Evaluation module enhances Analyse-it with specialized procedures for medical statistics & clinical research.
✔ Analyze clinical data using precise statistical methods.
✔ Generate scientific reports for medical studies & publications.

🎯 Conclusion: The Ideal Statistical Solution for Excel Users
🔹 Analyse-it combines the flexibility of Excel with the power of advanced statistical software.
🔹 Perfect for scientists, clinicians & analysts who require precise statistical methods.
🔹 Ideal for clinical research, medical studies & scientific data analysis.

📢 Try Analyse-it Now & Turn Excel into a Powerful Statistical Tool!

Details

Analyse-it: The Powerful Statistics Add-In for Microsoft Excel

Analyse-it is a powerful statistical add-in for Microsoft Excel on Windows. It extends Excel with over 30 parametric and non-parametric statistical tests, including a comprehensive set of descriptive statistics. Thanks to seamless integration into the familiar Excel interface, Analyse-it is easy to use and enables precise, fast, and validated statistical analyses – without the need for expensive specialist software!

Why Choose Analyse-it?

✅ Statistical power directly in Excel – No need to learn new software
✅ Highly accurate calculations – Reliable algorithms ensure exact results
✅ Efficient data analysis – Powerful regression, ANOVA, sensitivity analysis & more
✅ Ideal for labs & industry – Perfect for quality control, method evaluation & process optimization
✅ Save time with templates & automation – Reusable reports updated at the click of a button

Features of Analyse-it

📊 Descriptive Statistics & Visualization – Histograms, box plots, dot plots & more
📊 Comparative Tests – t-test, ANOVA, chi-square test, contingency tables
📊 Regression Analysis & Modeling – Linear & logistic regression, ANOVA, ANCOVA
📊 Multivariate Analysis – Correlation, PCA, factor analysis, item reliability
📊 Quality Control & Process Improvement – SPC, Shewhart control charts, CUSUM, Pareto analysis
📊 Method Validation – Bland-Altman analysis, Passing-Bablok regression, ROC curves
📊 Measurement System Analysis (MSA) – Trueness, precision, detectability
📊 Reference Intervals & Diagnostic Performance – Quantile & robust methods, sensitivity/specificity

Powerful Analysis Without the Learning Curve

📌 No training required – Fully integrated into the familiar Excel environment
📌 Step-by-step tutorials – Online help & interactive guides
📌 Data export & teamwork – Easy sharing and global collaboration via Excel

With Analyse-it, you turn Microsoft Excel into a full-featured statistics package that leaves nothing to be desired – perfect for research, labs, quality assurance, and business analytics.

➡ Learn more & try Analyse-it today!

Requirements

Analyse-it: Das leistungsstarke Statistik-Add-in für Microsoft Excel

Analyse-it ist ein leistungsstarkes Statistik-Add-in für Microsoft Excel unter Windows. Es erweitert Excel um mehr als 30 parametrische und nichtparametrische statistische Tests, inklusive einer umfangreichen Sammlung deskriptiver Statistiken. Dank nahtloser Integration in die vertraute Excel-Oberfläche ist Analyse-it einfach zu bedienen und ermöglicht präzise, schnelle und validierte statistische Analysen – ohne teure Spezialsoftware!

Warum Analyse-it?

✅ Statistische Power direkt in Excel – Keine Notwendigkeit, eine neue Software zu erlernen
✅ Hochpräzise Berechnungen – Verlässliche Algorithmen sorgen für exakte Ergebnisse
✅ Effiziente Datenanalyse – Leistungsstarke Regression, ANOVA, Sensitivitätsanalyse & mehr
✅ Ideal für Labore & Industrie – Perfekt für Qualitätskontrolle, Methodenevaluierung & Prozessoptimierung
✅ Zeitersparnis durch Vorlagen & Automatisierung – Wiederverwendbare Berichte auf Knopfdruck aktualisieren

Funktionen von Analyse-it

📊 Deskriptive Statistik & Visualisierung – Histogramme, Box-Plots, Dot-Plots & mehr
📊 Vergleichende Tests – t-Test, ANOVA, Chi-Quadrat-Test, Kontingenztabellen
📊 Regressionsanalyse & Modellierung – Lineare & logistische Regression, ANOVA, ANCOVA
📊 Multivariate Analyse – Korrelation, PCA, Faktoranalyse, Item-Reliabilität
📊 Qualitätskontrolle & Prozessverbesserung – SPC, Shewhart-Kontrollkarten, CUSUM, Pareto-Analysen
📊 Methodenvalidierung – Bland-Altman-Analyse, Passing-Bablok-Regression, ROC-Kurven
📊 Messsystemanalyse (MSA) – Trueness, Präzision, Erkennungsfähigkeit
📊 Referenzintervalle & diagnostische Leistung – Quantil- & robuste Methoden, Sensitivität/Spezifität

Leistungsstarke Analyse ohne aufwendige Einarbeitung

📌 Keine Schulung erforderlich – Direkte Integration in die vertraute Excel-Umgebung
📌 Schritt-für-Schritt-Tutorials – Online-Hilfe & interaktive Anleitungen
📌 Datenexport & Teamwork – Einfache Speicherung & weltweiter Austausch über Excel

Mit Analyse-it verwandeln Sie Microsoft Excel in ein vollwertiges Statistikpaket, das keine Wünsche offenlässt – perfekt für Forschung, Labor, Qualitätssicherung & Unternehmensanalysen.

➡ Jetzt mehr erfahren & Analyse-it testen!

Details

Funktionen in Analyse-it

 

Deskriptive Statistik

  • Mean, Variance, SD, Skewness, Kurtosis
  • Median, Minimum, Maximum, Range, IQR
  • Quantiles
  • Frequency table
  • Contingency table
  • Correlation coefficient

Multivariate

Correlation

  • Pearson
  • Spearman
  • Kendall
  • Scatter plot matrix

Principal Component Analysis (PCA)

  • Variance, coefficients, scores
  • Scree plot
  • Biplot/Monoplot - PCA/Correlation/Covariance

Modellierung und Regression

Linear Fits

  • Simple linear regression
  • Polynomial regression (2nd to 6th order)
  • Logarithmic regression
  • Exponential regression
  • Power regression
  • Multiple linear regression
  • Advanced models with simple, crossed, polynomial and factorial terms, with categorical explanatory variables coded as dummy variables

Other Fits

  • Binary logistic regression
  • Leverage plot
  • Residual plot
  • Outlier and Influence plot
  • Standardized and Studentzied residuals
  • Cook's D
  • Test effect of each term
  • Test effect of model
  • Predict Y for X
  • Lack of fit test for simple regression models
  • Save model variables back to the dataset: Fitted Y, Residuals, Standardized Residuals, Studentized Residuals, Leverage, Cook's Influence.

Hypthosen-Tests

Location

  • Z-test (one, two, paired)
  • Student t-test (one, two, paired)
  • Welch t-test
  • Wilcoxon
  • Wilcoxon-Mann-Whitney
  • Sign
  • ANOVA
  • Repeated measured ANOVA
  • Welch ANOVA
  • Kruskal-Wallis
  • Friedman

Dispersion / Homogeneity of variance

  • X2
  • Fisher F-test
  • Bartlett
  • Levene
  • Brown-Forsythe

Normality

  • Shapiro-Wilk
  • Anderson-Darling
  • Kolmogorov-Smirnov

Association

  • Kendall test
  • Spearman test
  • Pearson test

Proportions

  • Binomial exact
  • McNemar-Mosteller exact
  • Fisher exact
  • Pearson X2
  • Score Z
  • Likelihood ratio G2
  •  

Schätzungsfunktionen

Location

  • Mean
  • Median
  • Hodges-Lehmann pseudo-median
  • t-based confidence interval for mean
  • Z-based confidence interval for mean
  • Thompson-Savur confidence interval for median
  • Tukey confidence interval for Hodges-Lehmann pseudo-median
  • Mean difference
  • t-based confidence interval for mean difference
  • Z-based confidence interval for mean difference
  • Welch-Satterthwaite t-based confidence interval for mean difference
  • Hodges-Lehmann location shift
  • Tukey confidence interval for Hodges-Lehmann location shift
  • Multiple comparisons: Tukey-Kramer, Dunnett, Hsu (with best), Scheffe (all contrasts), Steel (non-parametric against control), Dwass-Steel-Critchlow-Fligner (non-parametric all pairs), Wilcoxon (individual comparisons)

Dispersion

  • Variance
  • X2-based confidence interval for variance
  • Variance ratio
  • F-based confidence interval for variance ratio

Proportions

  • Proportion
  • Odds
  • Clopper-Pearson exact confidence interval for proportion
  • Wilson score confidence interval for proportion
  • Proportion difference (risk difference)
  • Proportion ratio (risk ratio)
  • Odds ratio
  • Miettinen-Nurminen score confidence interval for proportion difference / proportion ratio / odds-ratio
  • Newcombe score confidence interval for proportion difference
  • Conditional exact confidence interval for odds ratio

Correlation

  • Pearson r
  • Fisher Z confidence interval for Pearson r
  • Spearman rs
  • Kendall tau
  • Samara-Randles confidence interval for Kendall tau

Plots

  • Histogram
  • Dot plot
  • Box plot
  • Mean error bar plot
  • CDF plot
  • Normal Q-Q plot
  • Scatter plot
  • Scatter plot matrix
  • Difference plot
  • Mean-Mean scatter plot for visualizing multiple comparisions.
  • Frequency plot
  • Pie frequency plot
  • Mosaic plot
  • Grouped frequency plot
  • Stacked frequency plot

System Requirements of Analyse-it

  Windows
Further Requirements Microsoft Excel 2007, 2010, 2013 (32-Bit/64-Bit)
Operating System Microsoft Windows Vista, 7, 8, 10, Server 2003, 2008, 2012, or 2016

2GB RAM minimum recommended, 80MB disk space
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