CreoStat HB is a company with the vision to make statistical programs easy to use and available at reasonable prices. The intention is to encourage and make it easier for small companies, students and researchers to apply statistical thinking and methods. Much effort has been made to create an intuitive interface demanding as few steps as possible for an analysis. However, a basic understanding of statistical concepts like hypothesis testing and confidence interval is necessary to use the programs.

Due to a wide range of statistical procedures, both statisticians by profession and non-statisticians with knowledge of the most common statistical methods, may find the software useful. As well as using it as a stand-alone software it may be a good complement to the software used for the statistical analyses.

The focus has been on the planning of studies, surveys or other situations where statistical analyses of the collected data will be performed. Another focus has been on calculating common tests and confidence intervals when the complete dataset is not available. If summary statistics, e.g. means, medians, standard deviations etc. are known, it will sometimes be possible to calculate p-values and confidence intervals based on these. This situation occurs frequently in publications of research results where a particular p-value or a confidence interval may be missing.

CreoStat HB started in 1990 as a statistical consulting firm and with a development of statistical software. Within the company there is a large experience of statistics in pharmaceutical drug development and interactions with authorities.

 

Other Software by CreoStat HB:

StudyResult is a program for quick calculation of p-values and confidence intervals for the most common tests and parameters. It may be useful when these are missing, for example in an article, but the mean, standard deviation etc. are presented. Correspondingly, a missing standard deviation or mean for example can be calcuted if the p-value or confidence interval is presented. It can also be used to convert a p-value to a confidence interval and vice versa.

It is sometimes a valuable complement to StudySize when planning a study. When the design of the study has been decided it may be useful to know which results in terms of the parameter estimates that will produce a statistical significance or a given width of a confidence interval.