nQuery
Statistical analysis software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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$855 per user per year
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What is nQuery
nQuery is a statistical analysis and study design tool focused on sample size and power calculations for clinical trials and other research studies. It supports planning and justification of study designs by helping users estimate required sample sizes under different assumptions and endpoints. Typical users include biostatisticians, clinical researchers, and trial operations teams who need defensible calculations for protocols and regulatory documentation. The product is positioned more toward upfront study planning than general-purpose data analysis and visualization workflows.
Strong power and sample sizing
nQuery is purpose-built for power, sample size, and related study design calculations rather than general exploratory analysis. This focus can reduce time spent building custom scripts for common clinical trial planning scenarios. It is well aligned to teams that need repeatable, documented calculations for protocols and statistical analysis plans. For organizations that primarily need planning calculations, it can be more direct than broader statistical platforms.
Clinical trial planning orientation
The product’s feature set is oriented to clinical research workflows, where assumptions, endpoints, and design choices must be explicitly stated. This makes it suitable for feasibility assessments and scenario comparisons during protocol development. It can help standardize how teams approach sample size justification across studies. That specialization is useful compared with tools that prioritize general analytics over study design.
Supports scenario-based exploration
nQuery enables users to vary assumptions (for example, effect size, variance, dropout, allocation ratios) and compare resulting sample size requirements. This supports sensitivity analysis during study planning and stakeholder review. It can help teams communicate trade-offs between statistical power, timelines, and cost. These capabilities are often central to trial design discussions.
Not a full analytics suite
nQuery is primarily a planning tool and is not typically used as an end-to-end environment for data management, modeling, and reporting. Organizations still need separate software for data cleaning, advanced modeling, and production reporting. Teams expecting a single platform for both study design and downstream analysis may find functional gaps. This can increase integration and validation effort across tools.
Narrower applicability outside trials
While sample size and power concepts apply broadly, the product’s strongest fit is clinical and regulated research planning. Users in manufacturing quality, general business analytics, or broad academic statistics may find fewer relevant workflows than in general-purpose statistical packages. If the primary need is exploratory analysis, visualization, or broad method coverage, nQuery may be less suitable. This can limit adoption outside biostatistics-focused groups.
Vendor details not well verified
Publicly verifiable corporate information for the current seller (legal entity, headquarters, and social profiles) is not consistently available from reliable sources in this context. That makes it harder to confirm ownership, support structure, and long-term product stewardship without direct vendor validation. Buyers may need to request formal company details, security documentation, and support SLAs during procurement. This adds due diligence overhead compared with vendors with widely published corporate profiles.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Base | From $855 per user/year (Academic); From $995 per user/year (Corporate) | Fixed-term sample size & power calculations; 1000s of fixed term trial scenarios; all popular endpoints and designs. |
| Plus | From $1,285 per user/year (Academic); From $1,495 per user/year (Corporate) | Includes Base features + Bayesian methods (Assurance, Credible Intervals, Continual Reassessment Method, Posterior Error Rates). |
| Pro | From $2,375 per user/year (Academic); From $4,995 per user/year (Corporate) | Includes Plus features + Adaptive trial capabilities (Group Sequential Designs, GSD Simulation, Sample Size Re-estimation, Multi-Arm Multi-Stage, MCP-MOD, Phase I designs). |
| Expert | From $3,895 per user/year (Academic); From $7,795 per user/year (Corporate) | Includes Pro features + Prediction tools (Enrollment & Events prediction, exponential/weibull/piecewise prediction, additional simulation and prediction procedures). Note: All pricing shown in USD, based on annual subscription named user licenses; academic pricing available to academic, government and non-profit organizations. 14-day free trial available (no credit card). For quotes or enterprise/custom options contact sales. |
