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"likely to have an impact on my work in the near future"

Hays Pharma

Derivation Standards

Statistical Programming is the art of deriving code that summarizes clinical data. But as all roads lead to Rome, there are mutlitudes 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 standardizes 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!

Wiki's in this category

View Assigning NCI CTC Grades To Laboratory Results

View Defining Tumor Response

View Determining Prior and Concomitant Medications

View How to count Adverse Events

View Imputing Partial Dates

View LOCF

View Newcomers Technical Guide

View Reviewers' Guide

View Suggestions for Wiki Improvements

View The Metadata Lifecycle