Trial Design Software
Table of Contents
⚠️ Please READ the instructions carefully before using the tools. ⚠️
1. Sample size and power for one-sample survival
This app is designed for sample size and power calculations for one-sample survival analysis using various frequentist approaches.
2. Bayesian one-sample survival analysis
This application provides comprehensive tools for designing bayesian one-sample survival analysis clinical trials.
3. Bayesian Safety monitoring for single toxicity
This application provides comprehensive tools for designing and analyzing a single toxicity endpoint monitoring rules in clinical trials using Bayesian methods.
4. Bayesian Safety monitoring for multiple toxicities
This application implements a Bayesian approach for monitoring multiple toxicity endpoints in clinical trials. The method uses Dirichlet-Multinomial conjugate priors to compute stopping boundaries that control the probability of continuing a trial when toxicity rates exceed acceptable thresholds.
5. Bayesian joint monitoring for safety and futility
This application implements exact dynamic programming for Bayesian sequential monitoring of Phase II clinical trials. It allows monitoring of safety (toxicity), futility (lack of efficacy), or both with early stopping rules.
6. Bayesian one-sample binary response analysis
This application provides comprehensive tools for designing and analyzing single-arm clinical trials using Bayesian methods for binary endpoints (response rates).
7. Bayesian one-sample competing risks analysis
This application provides comprehensive tools for designing and analyzing single-arm clinical trials with competing risks using Bayesian methods.
8. Sample size and power for two-sample competing risks
The redesigned app features an intuitive interface with dynamic input validation, real-time power curve visualization, and side-by-side method comparison. The tool estimates statistical power for comparing cumulative incidence functions between two groups using Gray’s test in a competing risks framework and incorporates analytical calculations based on the PASS software which uses the method described in Pintilie (2002).