Graph Based, Adaptive, Multiarm, Multiple Endpoint, Two‐Stage Designs The graph-based approach to multiple testing is an intuitive method that enables a study team to represent clearly, through a directed graph, its priorities for hierarchical testing of multiple hypot...

New open-access paper: we discuss graph-based adaptive multiarm, multiple-endpoint two-stage designs that allow early stopping, sample size re-estimation & dropping treatments/endpoints while preserving strong FWER control.

onlinelibrary.wiley.com/doi/10.1002/...

#multipletesting #adaptivedesign

Unifying Boxplots: A Multiple Testing Perspective
Bowen Gang, Hongmei Lin et al.
Paper
Details
#MultipleTesting #BoxplotAnalysis #StatisticalMethods

🧪 Revised inference framework applied to GWR/MGWR addresses multiple testing, improving statistical validity of local estimates. Enhances robustness of spatial parameter interpretation across regions.
#SpatialStats #Methodology #MultipleTesting #Inference #GWR #MGWR #Python #OpenScience 5/5

This past month has seen the publication of a couple of new helpful papers providing further insights into the thorny issue of #MultipleTesting in trials 1/7
#MethodologyMonday #112