What is it about?
Extending the STEPP methodology to include clinical trials with continuous, binary and count outcomes (in addition to time to event censored data).
Featured Image
Why is it important?
STEPP analysis can not be conducted on a full spectrum of clinical trials. Its extension to continuous, binary, and count outcomes' validity is confirmed through simulation and power studies. In addition, an example using the Aspirin/Folate study is used to illustrate its usefulness.
Perspectives
STEPP is a non-parameteric graphical subgroup analysis methodology applicable to clinical trials setting. GLM-STEPP is a major extension of the methdology so that data beyond time-to-event censored clinical data can now be analyzed using STEPP. It still has the traditional STEPP limitations (cannot identify cut-points, ...) Its introduction will satisfy the needs of clinical researchers who would like to apply STEPP to outcomes other than time-to-event data.
Mr Wai-Ki Yip
Dana Farber Cancer Institute
Read the Original
This page is a summary of: Subpopulation Treatment Effect Pattern Plot (STEPP) analysis for continuous, binary, and count outcomes, Clinical Trials, August 2016, SAGE Publications,
DOI: 10.1177/1740774516643297.
You can read the full text:
Contributors
The following have contributed to this page
