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simtrial-fundamentals

Generate survival data and conduct weighted logrank tests for clinical trial simulations in R.

9|1|Updated Jan 10, 2026
Search Tags:#r#survival-analysis#simulate#time-to-event#clinical-trial#weighted-logrank#group-sequential
One-click install
npx skills add https://github.com/choxos/BiostatAgent --skill simtrial-fundamentals
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: simtrial-fundamentals
Source: https://github.com/choxos/BiostatAgent/tree/main/plugins/clinical-trial-simulation/skills/simtrial-fundamentals
Command: npx skills add https://github.com/choxos/BiostatAgent --skill simtrial-fundamentals

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Time-to-event clinical trial simulation requires a compact, reliable toolchain to generate realistic survival data and assess statistical methods.

Core Features & Use Cases

  • Time-to-event data generation with piecewise hazards (sim_pw_surv, rpwexp)
  • Survival analyses and advanced tests (wlr, maxcombo, rmst, milestone)
  • Group-sequential and scalable simulations (sim_gs_n) with gsDesign2 integration

Quick Start

Install and load the simtrial package, then run sim_pw_surv to generate sample trial data and evaluate analysis methods.

Frequently Asked Questions about simtrial-fundamentals

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

FAQPage Schema
How do I simulate time-to-event clinical trial data with piecewise hazards in R?▼

To simulate time-to-event clinical trial data in R, use vectorized functions like sim_pw_surv and rpwexp to generate survival datasets with piecewise hazard modeling, enrollment rates, and failure rates.

What is the best way to run weighted logrank tests for survival analysis?▼

Running weighted logrank tests for survival analysis is best handled by the wlr function, which evaluates time-to-event trial data and supports advanced testing methods like maxcombo, rmst, and milestone analyses.

Can I use group-sequential designs for clinical trial simulation?▼

Yes, you can use group-sequential designs for clinical trial simulation by applying the sim_gs_n function, which integrates with gsDesign2 to enable scalable and modular trial design evaluations.

Does simtrial integrate with gsDesign2 for group-sequential design evaluation?▼

Yes, simtrial integrates directly with gsDesign2 to support group-sequential design evaluation, allowing you to run sim_gs_n for scalable time-to-event trial simulations and boundary assessments.

What statistical tests are available for time-to-event survival analysis?▼

Available statistical tests for time-to-event survival analysis include weighted logrank (wlr), maxcombo, rmst, and milestone tests, providing diverse methods to assess simulated clinical trial data.

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