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Users across a wide range of fields have found this software extremely useful for a variety of purposes. One key use case is conducting …
Starting at $765 per year per user
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What is nQuery?
nQuery, from Dotmatics, is a trial design platform to make clinical trials faster and loss costly, for Classical, Bayesian, Adaptive trial designs in addition to trial prediction. It is available through a tiered licensing system.
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Base
$765
Cloud
per month per user
Plus
$1,150
Cloud
per month per user
Pro
$3,625
Cloud
per month per user
Entry-level set up fee?
- No setup fee
For the latest information on pricing, visithttps://www.statsols.com/nquery/request…
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Starting price (does not include set up fee)
- $765 per year per user
Product Details
- About
- Tech Details
What is nQuery?
nQuery, from Dotmatics, is a trial design platform to make clinical trials faster and loss costly, for Classical, Bayesian, Adaptive trial designs in addition to trial prediction. It is available through a tiered licensing system.
nQuery Technical Details
| Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Unspecified |
| Mobile Application | No |
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Community Insights
TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
- Business Problems Solved
- Pros
- Cons
- Recommendations
Users across a wide range of fields have found this software extremely useful for a variety of purposes. One key use case is conducting group sequential designs, which allows users to analyze data as it becomes available during a study, resulting in more efficient trial designs. Additionally, the software has been instrumental in determining optimal sample sizes for research projects, ensuring that studies are adequately powered while minimizing costs. Reviewers have noted that alternative statistical software packages like nQuery and R may be necessary due to the learning curve associated with SAS and its quirks. However, despite these challenges, the software has facilitated collaboration among various review groups involved in expanding clinical trial designs. It also provides a valuable tool for researchers and students in the research environment who require accurate sample size calculations and seek to confirm or disprove calculations undertaken in various committees and reviews.
Wide range of procedures: Many users have found the wide range of procedures available for sample size determination in NQuery to be very helpful. Some reviewers specifically mentioned that this feature is valuable, especially in their role as consulting statisticians in the pharmaceutical industry. The availability of multiple procedures allows users to choose the most appropriate method for their specific needs.
Flexibility in assumptions: Several users have highlighted the large number of options in NQuery for designating assumptions, such as equal or unequal variance. This flexibility has been appreciated by reviewers, particularly those involved in protocol development and clinical research. Being able to customize and adjust assumptions according to their study requirements adds value to the software.
Assistants for estimation and conversion: Reviewers have mentioned that they find the assistants in NQuery extremely useful. These assistants help estimate standard deviation and convert parameters, making it easier for users to calculate sample sizes for clinical studies. The presence of these assistants contributes to the overall ease of use and efficiency of the software.
Cons:
Lack of Dynamic Advice: Some users have mentioned that they would appreciate the inclusion of warning boxes or other methods to provide dynamic advice. They have reported instances where they missed important information while hovering over specific parts of a table. Cryptic Help Pages: Several users found some of the help pages to be cryptic and challenging to understand. This suggests that there may be difficulties in comprehending the information provided, causing confusion for users. Limited Compatibility with Mac: A number of users who use a Mac platform have expressed frustration about having to run nQuery in a Windows emulator. This indicates that the software may not be fully compatible with their preferred operating system, requiring additional steps and potential inconveniences for these users.
Users highly recommend nQuery for sample size determination in clinical research, statistical analysis in clinical research, and adaptive trials. They also recommend it for biostatisticians. Users who are not very tech-savvy appreciate the user-friendly interface of nQuery, making it accessible to all users. Additionally, they find the helpdesk for nQuery to be amazing, providing valuable support and assistance when needed. Overall, nQuery is praised by users for its effectiveness in various aspects of clinical research and its user-friendly nature.