BESH Stat version 0.17 released

I’m happy to announce the release of new BESH Stat version 0.17. The main change is the addition of exact p-value computation for the unordered R x C contingency tables (Fisher-Freeman-Halton Exact test). I was working on this on-and-off for several years now.  The new procedure implements the network algorithm developed by Mehta and Patel [1,2,3] and improved by Clarkson, Fan and Joe [4]. It is a VBA translation of the FORTRAN subroutine FEXACT. The original FORTRAN code can be obtained from [5] (Fortran 77 version) or [6] (Fortran 90 version). To my knowledge this is the only VBA implementation of this method. Generated P-values match those presented in all example tables from [4] and all are computed in a fraction of a second. Continue reading “BESH Stat version 0.17 released”

Missing values in BESH stat

Missing values in BESH stat

Note1: BESH stat works only with numeric data (unless it is an ID column) so the text data are treated as missing. When talking about missing data I mean text string values as well.

Note2: If you have a text categorical value in your data then create a numerical format a use numerical codes in the analysis. Continue reading “Missing values in BESH stat”

BESH Stat version 0.14 released

New BESH Stat version 0.14 was released.

After quite some time when I was busy with other work I managed to extend the BESH stat Excel add-in capabilities by including the Poisson model into the add-in regression capabilities. So now it contains commonly used models in the area of clinical research (Ordinary least squares regression, Logistic regression – binomial as well as multinomial, COX proportional hazard regression for the analysis of survival data, and now the Poisson regression as well). Continue reading “BESH Stat version 0.14 released”