Resources
- Navigating the Landscape of Hierarchical Multi-Component Strategies: GPC, DOOR, and MOST by De Backer, Verbeeck, Lanius, Vandemeulebroecke, Evans, Hamasaki, Buyse, Harrell
- Rare Degenerative Diseases & Statistics: Methods for Analyzing Composite Patient Outcomes video presentation for Consilium Scientific
- Bayesian transition models for ordinal longitudinal outcomes by Rohde, French, Stewart, Harrell
- Ordinal state transition models as a unifying framework
- General considerations and properties of clinical endpoints
- Making sense of hierarchical composite end points in randomized clinical trials–A primer for infectious diseases and researchers by Sean Ong et al, 2025
- Disadvantages of the WIN ratio (click on this title on that page to expand the text)
- Composite outcomes and methods for analyzing them
- Overview of composite outcome scales and statistical approaches
- Improving power for ordinal endpoints by adding more ordinal levels
- Power calculations for ordinal outcomes
- Musings on multiple endpoints in RCTs
- Borrowing information across outcome components
- Examples of bad endpoints
- Bayesian power and sample size calculations for ordinal outcomes
- Bootstrap marginal state occupation probabilities using
VGAM, by Johannes Schwenke
- dtms package for discrete time multistate models