XLSTAT - Biomed
XLSTAT-biomed was made for scientists from with medical applications. No matter if you need to compare the effects of different drugs or different groups of patients – statistic have never been that easy!
XLSTAT-Base is included in this solution!
XLSTAT-Biomed - Statistical Solution for Drug Effects and Survival Analysis
XLSTAT is a data analysis system and statistical software for Microsoft Excel. XLSTAT extends Excel to an efficient and easily accessible statistics tool that covers most of the functions needed for the analysis and modeling of data. The software automatically integrates itself into your MS Excel user interface and is always addressable from there. In more than 100 countries, beyond 25.000 engineers, statisticians, consultants and scientists are already using XLSTAT and confirm the quality of the safe, efficient, easy-to-use and at the same time most reasonably priced software.
XLSTAT make use of Excel's functionality in respect to data collection and presentation of results. However, all calculations are carried out in autonomous programs. The disposal of Excel as an interface makes the product very easy to use and effective. The quality of the calculations themselves is equivalent to that of the leading scientific packages. XLSTAT comprises the complete statistics and provides routines for dose-response curves as well as for mulitvariate statistics or PLS.
XLSTAT-Biomed - Overview
User Interface of XLSTAT-Biomed
XLSTAT's Productline was completely overhauled! More information in our News-Section, click here.
XLSTAT-Biomed is a solution especially for biologists and medical researchers who want to apply well-known and validated methods to analyse their data. In addition to classic statistical tools, use Cox or Kaplan-Meier models for survival analysis, compare methods with Passing and Bablok or Bland and Altman regressions, estimate the sample size your experiment should have with power analysis. Explore your huge OMICs datasets with our differential expression and heat map features.
Dose-effect analysis
Logistic regression in XLSTAT
Dialog box for logistic regression
ROC Curves - cost vs. concentration
Survival distribution function in XLSTAT
Kaplan-Meier analysis
Volcano Plot in XLSTAT
Differential expression
Heat map
User's of prior versions of XLSTAT will find the following old modules in XLSTAT-Biomed:
- XLSTAT-Pro
Software for statistical functions and data analysis in MS excel. - XLSTAT-Pivot: a must have complement for XLSTAT users who need to quickly create pivot tables while discovering important trends and factors impacting their business.
- XLSTAT-PLS: for Partial Least Squares Regression and PCR regression.
- XLSTAT-Dose: for dose-effect analysis.
- XLSTAT-Life: for survival data analysis (Life tables and Kaplan-Meier analysis, Cox regression, ROC curves, sensitivity and specificity analysis).
- XLSTAT-OMICs: for analysing genomics, transcriptomics, proteomics and metabolomics
XLSTAT grows with you - optional Modules
Software needs to fit to the user - not backwards! This is why XLSTAT's functions can be extended by optional modules. These modules are for very specific applications. The optional modules of XLSTAT can be bought seperately and are not contained in any of the solutions! The optional modules will fit into your excel interface as usual and can be addressed from there anytime. Let XLSTAT adapt to your requirements!
Optional Modules
XLSTAT-3DPlot
XLSTAT-LatentClass
Further Information
Systemrequirements for the software XLSTAT
| Windows® | Mac | |
| Further Requirements | Microsoft Excel 2003, 2007, 2010, 2013, 2016 | Microsoft Excel 2011 |
| Operating System | Windows XP, Vista, 7, 8, 10 (32-/64-Bit) | OS X |
| Minimum CPU | 800 MHz | 800 MHz |
| Min. RAM | 128 MB | 128 MB |
| Disk Space | 150 MB | 150 MB |
Features in XLSTAT - Biomed
- Dose-effect analysis
- 4-5 Parallel Lines Regression Logistic
- Cox Proportional Hazards Models
- Weibull Models
- cumulative incidence
- Kaplan-Meier analysis
- Life Table Analysis
- Method Comparison
Analysis of repeatability and reproducibility- Paired t-test
- Scatterplot
- Bias
- Bland Altman
- Histograms and box plot
- Difference Plot
- Nelson-Aalen analysis
- ROC curves
- Parametric survival curves
- Detailed sensitivity and specificity analysis
- Passing and Bablok regression
- Deming regression
- Parametric tests
- Non-Parametric tests
- Student t-test
- ANOVA
- Mann-Whitney
- Kruskal-Wallis
- Benjamini-Hochberg
- Benjamini-Yekutieli
- Bonferroni
- Volcano plots
- Heat maps
- Canonical Correlation Analysis
- Canonical Correspondence Analysis
- Procrustes analysis
- Multiple Factor Analysis (MFA)
- Principal component analysis (HKDA)
- Redundancy analysis (RDA)
The following features are part of XLSTAT-Base (which is included in XLSTAT-Sensory):
Analyzes
- Factor analysis
- Principal component analysis (PCA)
- Discriminant
- Correspondence Analysis
- Multiple Korrespondenzanalysev
- Multidimensional scaling (MDS)
- k-means clustering
- Agglomerative hierarchical clustering
- Gaussian Mixture Model
- Univariate partitioning
- Association Rules
Using association rules can directional relations between one or more objects of a set and another set of objects are determined in a large data set.
Modeling
- Probability Distributions
- Beta
- Binomial
- Negative Binomial
- Chi-square
- Exponentially
- Fisher
- Fisher-Tippett
- Gamma
- GEV
- Gumbel
- Lognormal
- Normal
- Pareto
- Poisson
- Student
- Uniforme
- Weibull distribution
- Linear regression
- Analysis of variance (ANOVA)
- Welch and Brown-Forsythe one-way ANOVA
- Covariance (ANCOVA)
- Repeated Measures Analysis of Variance (ANOVA)
- Mixed models and Repeated Measures ANOVA
- Binary and Multinomial Logistic Regression (Lobit, Probit, ...)
- Ordinal logit model
- Log-linear regression (Poisson regression)
- Quantile
- Cupic spline
- Kernel regression
- Nonlinear regression (GENFIT)
- Two-Stage Least Squares Regression
- Classification and regression trees
- K Neares Neighbors (KNN)
Tests
Correlation and Association tests
- Correlation test
- Test on contingency tables
- RV Coefficient
- Cochran-Armitage trend test
- Mantel test
Parametric tests
- Comparison of k proportions
- Comparison of one proportion
- Comparison of two proportions
- Equivalence test (TOST)
- One-sample variance test
- Comparison of variances of two samples
- Comparison of variances k samples
- Multidimensional tests
- Multinomieller fit test
- t and z tests for one sample
- t and z for two samples
Nonparametric tests
- Comparison of two independent samples (Kolmogorov-Smirnov, Mann-Whitney)
- Comparison of two paired samples (Wilcoxon sign test, sign test)
- Comparison of k independent samples (Kruskal-Wallis test)
- Comparison of k related samples (Friedman test)
- Mood test (median test)
- Durbin-Skilling-Mack test
- Page Test
- Cochran's Q test
- McNemar's test
- Cochran-Mantel-Haenszel test
- Running tests on a sample
Outlier Tests
- Grubbs test for outliers
- Dixon test for outliers
- Cochran C test for variances ourlying
- Mandel's h and l statistics for outliers
Tools
- Export as GIF, JPG, PNG, TIF
- Data Flagger
- MinMax Search
- Distance of text values in a selection
- Configuring the menu bar (hide, show, etc.)
- Configuring Workbooks