Competitive Comparison
Same capabilities. Simpler licensing. Significantly lower cost.
Head-to-Head Comparison
nQuery covers every core East capability — at a fraction of the cost
| 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 |
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.
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