The global statistical test, or GST, assesses the overall treatment effect across a defined set of endpoints and produces a single p-value for the set. The global statistical test can be useful when a clinical question is multidimensional, but meaningful interpretation depends on how the endpoints relate, their expected direction of effect and the planned analysis.
WHAT THIS VIDEO COVERS
• Why testing multiple endpoints separately can inflate Type I error
• How GST assesses the collective pattern across an endpoint set
• The difference between GST and a composite endpoint
• Why endpoints should have a coherent clinical relationship and expected direction
• How correlation and missing data can affect the analysis
• When rank-based or parametric forms of GST may be considered
A global p-value cannot identify which endpoint drove the result or determine whether individual changes are clinically meaningful. GST therefore needs to be planned during study design and interpreted alongside the results for each endpoint.
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