Statistical Programming is the art of deriving code that summarizes clinical data. But as all roads lead to Rome, there are multitudes of ways how to derive frequencies for adverse events, define study day 1, normalize durations for time units etc... Quite often these questions need to be answered each time again when a new protocol is being written.
Wouldn't it be helpful if the industry could find an agreement on some of those derivations and package them into a standardized guideline?
The Wikis linked on this page are built with exactly this attempt. Let's discuss best practices and options, enjoy the scientific exchange of views and opinions and eventually come up with an agreement!
On the way to this goal, there might even be enough material for publications, trainings and presentations in your company or at one of the PhUSE events!
If you want to contribute to this category, cut and paste the following tag to the end of your article/page: [[Category:Derivation Standards]]. DO NOT edit this page to add your article. Just add the category tag to your article and it will appear automatically in this overview.
Pages in category "Derivation Standards"
The following 7 pages are in this category, out of 7 total.