Integration Guide
Use R for exploratory methods and custom code. Use nQuery for validated calculations, reproducible results, and a submission record regulators trust.
Fragmented Workflows
Trial design methods in R are spread across 100s of packages of inconsistent quality, documentation, and support.
Difficult to Share and Review
Requirement for R knowledge creates technical barriers for collaborators to understand and actively engage with your trial design.
Reproducibility and Regulatory Risk
Package updates or deprecation can affect reproducibility, and most R packages lack validation, which increases regulatory scrutiny.
One Validated Platform
Your entire clinical trial design workflow in one place: power, sample size, adaptive design and simulation in one validated platform. No hunting across packages, version conflicts or reconciling minimal documentation.
Collaborate and Explore
Intuitive spreadsheet format makes trial design accessible to all and easy to communicate. Standardized workflows, reports and plots reduce bottlenecks and allow teams to examine results with greater transparency and accessibility.
Regulatory Confidence
nQuery is validated software with audit ready documentation and qualification (IQ/OQ) tools. Over 25 years of reproducible results, expertise and support means design calculations and statements that regulators trust.
Solutions
Sample Size & Power Calculations
Calculate for 100s of Frequentist and Bayesian designs
Adaptive Design
Design and analyze a wide range of adaptive designs
Milestone Prediction
Predict interim analysis timing or study length
Randomization Lists
Generate and save lists for your trial design
Highlights
Group Sequential Design
Boundaries and sample size for a variety of GSD methods
Sample Size Re-estimation
Unblinded Promising Zone and Blinded Internal Pilot Designs
Early-Stage and Complex Designs
Simon's Design, MCP-Mod, Multi-arm Multi-Stage & more
Complex Survival Analysis
Non-proportional Hazards and complex designs methods
Power and sample size for continuous, discrete, survival, count + more
Bayesian Power calculations and sample size for Bayesian Intervals and Tests
Plan and explore complex adaptive designs in line with regulatory guidance
Predict interim or final analysis timings based on accrual or event milestones