Analyse-it

Funktionsumfang Analyse it: Quality

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!

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!

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

Product 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

Installation instructions and downloads

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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