Good Clinical and Regulatory Submission Graphs should:
- emphasize data and storyline and not methodology, technology or "tricky" analytics that beat up the data for clinical and statistical significance
- not distort what the data has to say
- be closely integrated with statistical and verbal descriptions of the dataset and database
- present many numbers in a small space
- make large datasets and databases, integrated or otherwise, coherent
- reveal the data in many levels of detail.
Just as good medical writing is a result of frequent communication between the medical writer, SAS programmer, clinical safety and efficacy and the QC team member - the same holds true with the development and creation of a good analytical graph - there must be frequent communication between the SAS programmer, analyst, QC, clinical safety and efficacy - for whom? - for the benefit of the FDA reviewer.
With regard to clinical and regulatory submissions - there is the overall submission team and additionally, there are submission subteams that must be responsible for the clear presentation of submission data from their respective areas of expertise.
"It takes a team to win".
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