What statistical tests are supported by this skill?

It supports standard logrank, Fleming-Harrington weighted logrank, MaxCombo tests, RMST (Restricted Mean Survival Time), and milestone survival analysis.

What is the simtrial-fundamentals skill?

It is a specialized capability for Claude Code that provides best practices, documentation, and code patterns for using the Merck simtrial R package in clinical trial simulations.

Is parallel computation supported for large simulations?

Yes, the skill provides patterns for using the future and foreach packages to run large-scale clinical trial simulations efficiently in parallel.

Can I simulate trials with delayed treatment effects?

Yes, the skill includes patterns for piecewise exponential hazard modeling and Magirr-Burman weights specifically designed to handle delayed effects and non-proportional hazards.

Does it support group sequential designs?

Yes, it integrates with the gsDesign2 package and provides functions like sim_gs_n for simulating trials with multiple interim and final analyses.

SimTrial Fundamentals

Name: SimTrial Fundamentals
Author: choxos

bychoxos

0•

数据科学与机器学习

Simulates time-to-event clinical trial data and performs complex statistical analyses including weighted logrank and MaxCombo tests.

This skill provides comprehensive support for the simtrial R package, enabling biostatisticians and clinical researchers to model complex survival data. It facilitates the generation of piecewise exponential failure times, handles non-proportional hazards through advanced weighting schemes like Fleming-Harrington and Magirr-Burman, and supports group sequential design simulations. Whether you are modeling delayed treatment effects, performing RMST analysis, or simulating stratified trials, this skill offers the patterns and guidance necessary for robust clinical trial design and regulatory-grade analysis.

主要功能

01Weighted logrank tests including Fleming-Harrington and Magirr-Burman

02Piecewise exponential survival data generation

03MaxCombo testing for non-proportional hazard scenarios

04Group sequential design simulation with interim analysis cutting

05Restricted Mean Survival Time (RMST) and milestone analysis

060 GitHub stars

使用场景

01Evaluating the statistical power of non-proportional hazard tests

02Simulating survival endpoints for group sequential interim analyses

03Designing clinical trials with expected delayed treatment effects

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add choxos/biostatagent simtrial-fundamentals

For use in Claude.ai and ChatGPT

主要功能

01Weighted logrank tests including Fleming-Harrington and Magirr-Burman

02Piecewise exponential survival data generation

03MaxCombo testing for non-proportional hazard scenarios

04Group sequential design simulation with interim analysis cutting

05Restricted Mean Survival Time (RMST) and milestone analysis

060 GitHub stars

使用场景

01Evaluating the statistical power of non-proportional hazard tests

02Simulating survival endpoints for group sequential interim analyses

03Designing clinical trials with expected delayed treatment effects

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add choxos/biostatagent simtrial-fundamentals

For use in Claude.ai and ChatGPT