multiplicity-methods
CommunityGuide multiplicity controls for clinical trials.
Data & Analytics#gatekeeping#clinical-trials#multiplicity#endpoint-strategy#family-wise-error#graphical-procedures
Authorchoxos
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Complex multiplicity adjustments in clinical trials can lead to inflated Type I error, misleading conclusions, and regulatory risk when handling multiple endpoints and hierarchical hypotheses.
Core Features & Use Cases
- Single-step adjustments: Bonferroni and Holm for simple, conservative control over multiple hypotheses.
- Step-down and step-up procedures: Holm, Hochberg, and Hommel to improve power while controlling FWER.
- Graphical & gatekeeping strategies: Chain, Fixed-Sequence, Parallel Gatekeeping, and Multiple-Sequence approaches for complex endpoint structures.
- Parametric and known-correlation methods: NormalParamAdj when a correlation structure is known to enhance power calculations.
- Practical guidance: Parameter choices, gamma optimization considerations, and pre-specification in SAP.
Quick Start
Provide your trial data and analysis plan and I will configure an appropriate multiplicity strategy.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: multiplicity-methods Download link: https://github.com/choxos/BiostatAgent/archive/main.zip#multiplicity-methods Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 223,000+ vetted skills library on demand.