Finite-horizon optimal e-value designs for adaptive single-arm binary trials are constructed via dynamic programming and shown to have competitive operating characteristics with automatic futility indication.
Power and sample size calculation for the win odds test: applica- tion to an ordinal endpoint in COVID-19 trials.Journal of Biopharmaceutical Statistics2021; 31(6): 765–787
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
stat.ME 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
FORSS is a new formula-based super-sample framework for power and sample size calculations with win statistics on hierarchical endpoints that incorporates marginal effects and a flexible joint distribution.
citing papers explorer
-
Adaptive clinical trials based on design-optimal e-values with automatic curtailment: An application to single-arm trials with binary data
Finite-horizon optimal e-value designs for adaptive single-arm binary trials are constructed via dynamic programming and shown to have competitive operating characteristics with automatic futility indication.
-
The FORSS Framework for Sample Size and Power Calculations With Win Statistics for Hierarchical Endpoints
FORSS is a new formula-based super-sample framework for power and sample size calculations with win statistics on hierarchical endpoints that incorporates marginal effects and a flexible joint distribution.