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.