Welcome to the BioMedStat home page. BioMedStat is a Windows computer software package for statistical analysis of clinical and biomolecular data. BioMedStat was developed with what is called "next-generation" software found exclusively in Microsoft's .NET Framework. Specifically, the development (programming) environment is based on Microsoft Visual Studio.NET, which provides access to .NET Framework features.
There are many modules offered in BioMedStat. These include summary statistics, covariance analysis, Pearson and Spearman correlation, matched (paired) 2-sample t-tests, independent 2-sample t-tests, F-ratio tests for ANOVA, non-parametric 2-sample Mann-Whitney and k-sample Kruskal-Wallis ANOVA, hierarchical cluster analysis, principal component analysis, k-means cluster analysis, linear regression, Poisson regression, unconditional logistic regression, conditional logistic regression, polytomous (polychotomous) logistic regression, linear categorical regression, Cox proportional hazards regression, Kaplan-Meier survival analysis, Cellular automata, and word frequency computation.
BioMedStat also provides a rich graphics environment for saving and copying graph images to disk and clipboard in bitmap (bmp), emf, exif, gif, icon, jpg, memory bmp, png, tif, or wmf. Default publication and presentations color styles are available and images can be saved to the windows clipboard and pasted in presentation packages.
