About nQuery
NQuery is a clinical trial design platform from Statistical Solutions that supports the improvement of studies with adaptive design, sample size calculations, and milestone prediction. It provides features for What's New, Procedures, Getting Started, Classical, and Bayesian approaches to facilitate effective trial management. By using these capabilities, researchers can design efficient, informative, and ethical adaptive trials that potentially reduce costs and improve success rates. nQuery is suitable for organizations looking to improve their clinical trial designs and simplify the overall process. Key capabilities: adaptive design sample size calculations milestone prediction classical approaches Bayesian approaches Best for: clinical researchers that need effective tools for designing clinical trials.
nQuery, developed by Statistical Solutions as part of Dotmatics, is a specialized software designed to optimize clinical trial design through statistical analysis. Its primary function is to assist researchers in making well-informed decisions regarding sample size, power analysis, and adaptive trial designs, thereby ensuring that trials are conducted efficiently, ethically, and with minimal resource waste. The software offers a broad range of statistical methods, modeling and simulation tools, and features such as randomization list generation, making it a valuable tool for clinical trial planning. Given its focus on improving trial efficiency, nQuery has become a preferred solution for biostatisticians, clinical trial designers, pharmaceutical companies, and contract research organizations (CROs) that require reliable statistical calculations for their studies. The software's user interface is structured to provide a streamlined experience, making statistical procedures more accessible to users with varying levels of expertise. While specific details about the interface design are not extensively documented, the overall layout is designed to facilitate easy navigation between different statistical functions.
Pros & Cons
- +Supports both frequentist and Bayesian methods for sample size calculations.
- +Enables adaptive trial designs for efficiency and cost reduction.
- +Provides randomization list generation for better trial management.
- +Offers predictive tools to help keep trials on schedule and within budget.
- +Includes training resources, webinars, and trial design templates.
- −May have a learning curve for users unfamiliar with Bayesian and adaptive designs.
- −Primarily focused on sample size and trial optimization, limiting broader statistical applications.
Features
Key features
- Sample size calculation
- Offers frequentist and Bayesian methods for determining optimal trial size.
- Adaptive trial design
- Enables the design of efficient and ethical adaptive trials.
- Trial prediction
- Helps predict key trial milestones to stay on schedule and within budget.
- Randomization list generation
- Facilitates the creation and management of randomization lists.
- Modeling and simulation tools
- Provides tools to identify potential roadblocks and optimize trial designs.
Additional features
- Clinical trial design software
- Specifically designed for optimizing clinical trial designs.
- Support for frequentist and fixed-term trials
- Caters to traditional trial designs.
- Bayesian analysis
- Offers Bayesian methods for sample size calculation and trial design.
- Adaptive trial design capabilities
- Enables the creation and analysis of adaptive trials.
- Sample size and power calculations
- Provides tools for calculating sample size and power.
- Milestone prediction
- Helps forecast key trial milestones and timelines.
- Randomization list generation and management
- Simplifies the creation and management of randomization lists.
- Modeling and simulation tools
- Offers tools for modeling and simulating trial scenarios.
- Customer success stories
- Showcases how nQuery has helped customers optimize their trials.
- Expert insights and statistical resources
- Provides access to educational materials and resources.
- Trial design templates
- Offers templates to assist in trial design.
- Free training
- Provides access to free training resources.
- Webinars
- Hosts webinars on optimizing trial design.
- Blog
- Publishes articles and insights on clinical trial design.
- Free trial
- Offers a free trial of the software.
- Pricing information
- Provides details on pricing plans.
- Customer support
- Offers customer support and assistance.
- Contact information
- Provides contact details for inquiries.
- Company information
- Provides information about the company behind nQuery.
- Integration with Dotmatics
- nQuery is part of the Dotmatics portfolio.
Pricing
Countries & Languages
Interface languages
Billing currencies
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About nQuery
NQuery is a clinical trial design platform from Statistical Solutions that supports the improvement of studies with adaptive design, sample size calculations, and milestone prediction. It provides features for What's New, Procedures, Getting Started, Classical, and Bayesian approaches to facilitate effective trial management. By using these capabilities, researchers can design efficient, informative, and ethical adaptive trials that potentially reduce costs and improve success rates. nQuery is suitable for organizations looking to improve their clinical trial designs and simplify the overall process. Key capabilities: adaptive design sample size calculations milestone prediction classical approaches Bayesian approaches Best for: clinical researchers that need effective tools for designing clinical trials.
nQuery Details
nQuery's In-App Market Place
Does nQuery have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
N/A
Pricing Options
Accepted Payment Currencies
USD ($)
Pros & Cons
- Supports both frequentist and Bayesian methods for sample size calculations.
- Enables adaptive trial designs for efficiency and cost reduction.
- Provides randomization list generation for better trial management.
- Offers predictive tools to help keep trials on schedule and within budget.
- Includes training resources, webinars, and trial design templates.
- May have a learning curve for users unfamiliar with Bayesian and adaptive designs.
- Primarily focused on sample size and trial optimization, limiting broader statistical applications.
nQuery's Support Options
nQuery's Alternatives
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