nQuery versus East
Same capabilities. Simpler licensing. Significantly lower cost.
Head-to-Head Comparison
| Capability | nQuery | East |
|---|---|---|
| Fixed Term Power + Sample Size | ||
| Survival Analysis Sample Size | ||
| Group Sequential Design | ||
| Unblinded SSR (Promising Zone) | ||
| Multiple Comparison Procedures | ||
| Multi-Arm Multi-Stage (MAMS) | ||
| Simon's Two-Stage Design | ||
| Multiple Comparison-Modelling (MCPMod) | ||
| Assurance (Bayesian Power) | ||
| Milestone Prediction Simulation | ||
| 2×2 Crossover Designs |
Where nQuery goes further
Internal Pilot Design
Blinded Sample Size Re-estimation
Re-estimate sample size for continuous, binary and count data while preserving trial integrity and accounting for pre-trial misspecification.
Non-proportional hazards and more
Advanced Survival Analysis
Find the right method for your oncology trial: Linear-Rank Tests, MaxCombo, RMST, AFT + One-arm, Paired, Stratified and Competing Risks Log-Rank Tests.
Bayesian Power and Intervals
Bayesian Sample Size
Integrate priors into your study planning. Sample Size for Credible Interval Precision and Power for Bayesian testing using Bayes Factors or Posterior Errors.
Additional models and designs
Counts and Recurrent Events
Comprehensive design solutions for Poisson and Negative Binomial models + Group Sequential, Crossover, Andersen-Gill, Non-inferiority and Equivalence options.
Trial Feasibility & Parameter Precision
Pilot Study Size
Find the right size for your pilot study to ensure a sufficiently precise estimate for your variance estimate or to conduct problem detection for trial feasibility.
Higher-order and Adaptive BE Designs
Complex Bioequivalence
Beyond 2×2: Power and sample size for eight higher-order crossover designs + two-stage adaptive (Potvin, Maurer) and Bayesian (ROPE, Bayes Factor) designs.
Four simple tiers with free yearly updates.
No confusing modules.
Power and sample size for continuous, discrete, survival, count + more
- Planning for 1000s of Fixed Term Trial Scenarios
- Wide variety of popular endpoints and designs
- Plus Regression, Correlation and Agreement
- Confidence, Prediction and Tolerance Intervals
Bayesian Power calculations and sample size for Bayesian Intervals and Tests
- Assurance using Conjugate, Uniform or Custom Priors
- Credible and Bayesian/Frequentist Intervals
- Testing using Posterior Error Rates
- Bayes Factors for Superiority and Equivalence Testing
Plan and explore complex adaptive designs in line with regulatory guidance
- Group Sequential Design with wide range of boundary methods
- Unblinded and Blinded Sample Size Re-estimation
- Multi-Arm Multi-Stage Designs (MAMS)
- Phase II Designs
(Simon's Two-Stage, MCP-Mod)
Predict interim or final analysis timings based on accrual or event milestones
- Prediction for Accrual and Events Milestones
- Global or Site-Level Accrual Rate Inputs
- Constant or Piecewise Poisson Accrual Models
- Exponential and Weibull Models for Events and Dropout
Ready to switch to nQuery?
Join the biostatisticians who have moved to a more flexible, cost-effective solution for adaptive clinical trial design.
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