group-sequential-methods

Plan and implement group sequential designs with alpha-spending and futility boundaries using simtrial and gsDesign2 simulations.

9|1|Updated Jan 10, 2026
One-click install
npx skills add https://github.com/choxos/BiostatAgent --skill group-sequential-methods
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: group-sequential-methods
Source: https://github.com/choxos/BiostatAgent/tree/main/plugins/clinical-trial-simulation/skills/group-sequential-methods
Command: npx skills add https://github.com/choxos/BiostatAgent --skill group-sequential-methods

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Design and evaluation of group sequential trials with interim analyses, managing alpha spending and futility boundaries to preserve statistical properties and efficiency.

Core Features & Use Cases

  • Designs for group sequential trials with predefined analysis timing
  • Alpha-spending strategies (OBF, Pocock, HSD) and their practical trade-offs
  • Simulation-based validation using simtrial and gsDesign2 to compare stopping boundaries
  • Use cases include regulatory submissions, DSMB planning, and rapid decision-making in trials

Quick Start

Run a GS simulation with simtrial and gsDesign2 to illustrate how boundaries affect early stopping

Frequently Asked Questions about group-sequential-methods

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I design group sequential trials with interim analyses using R?▼

Design group sequential trials by applying alpha-spending strategies like OBF, Pocock, and HSD, and validating stopping boundaries through simulation using R packages simtrial and gsDesign2.

What is the difference between OBF and Pocock alpha-spending boundaries?▼

OBF boundaries are highly conservative at early interim analyses, while Pocock applies a constant boundary across all looks. Both strategies preserve overall alpha while managing early stopping trade-offs in group sequential designs.

How do I validate futility boundaries for a clinical trial simulation?▼

Validate futility boundaries by running trial simulations with simtrial and gsDesign2 to compare stopping rules across multiple analyses, verifying boundary performance and information fractions before regulatory submission.

Can I use gsDesign2 and simtrial for DSMB planning and regulatory submissions?▼

Yes, gsDesign2 and simtrial support DSMB planning and regulatory submissions by providing simulation-based validation of stopping rules and alpha-spending boundaries for rapid decision-making in clinical trials.

Do I need prior experience with R packages to implement interim analysis boundaries?▼

Yes, implementing interim analysis boundaries requires familiarity with R packages like simtrial and gsDesign2 to properly configure information fractions, alpha-spending strategies, and simulation-based validation.

What are the limitations of simulation-based validation for group sequential designs?▼

Simulation-based validation requires accurate specification of information fractions and boundary parameters. Complex group sequential designs with multiple futility boundaries may demand extensive computational resources to simulate stopping rules accurately.