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The purpose of the SDTM Trial Design Model is to represent a brief, clear description of the overall plan and design of a nonclinical study or clinical trial. Guidance in this section is applicable only to TIG Nonclinical and Product Impact on Individual Health use cases. In this section, the term "trial" is equivalent to "study" in the nonclinical context. Trial Design datasets contain study-level, rather than subject-level, information. Implementation of Trial Design datasets requires the explicit statement of certain decision rules that may not be addressed or may not be as explicit in the textual description of a study plan such as an approved study protocol.

The TIG guides implementation for the following Trial Design datasets: 


NumDatasetPurpose
1Trial Arms (TA)Represents the sequences of elements in each epoch for each arm, and thus describes the complete sequence of elements in each arm.
2

Trial Elements (TE) 

Represents the elements used in the trial.
3Trial Visits (TV)Represents the planned schedule of visits.
4Trial Inclusion/Exclusion (TI)Represents the criteria used to screen subjects.
5Trial Summary (TS)Represents Lists key facts (parameters) about the trial that are likely to appear in a registry of clinical trials
6Trial Sets (TX)Need more information here. Is this all datasets and do we have all examples?


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