Name: nQuery
Price: 765 USD
Author: Dotmatics

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### Sample Size Calculation
Users generally appreciate nQuery's diverse and user-friendly sample size calculation capabilities. Reviewers highlight the ease of navigation within the software, the availability of various tools for sample size determination, and the helpful assistance provided in estimating parameters. The ability to visualize results and understand the impact of changing parameters on sample size and power is also praised. Additionally, users find the inclusion of side-tables and help pages for each cell to be beneficial in streamlining the sample size calculation process.

### Clinical Trial Design
Users consistently praise nQuery for its robust clinical trial design capabilities, highlighting its versatility in determining sample sizes across a wide range of research projects. The software's user-friendly interface and comprehensive range of procedures make it a valuable tool for clinical researchers, enabling them to confidently plan and conduct studies with optimal sample sizes. Additionally, the inclusion of Bayesian and Adaptive capabilities in recent years has further solidified nQuery's position as a go-to resource for those pursuing adaptive trial designs. The software's ability to generate default output statements suitable for study protocols and journal articles streamlines the process of incorporating sample size determinations into research documentation.

### Statistical Analysis Methods
Users generally appreciate nQuery's diverse range of statistical methods for sample size calculation and power analysis. The software's intuitive interface and helpful tips make it easy to navigate through complex calculations. While some users have mentioned missing certain advice prompts, overall, nQuery's statistical analysis methods are seen as a valuable asset for researchers and academicians alike. The ability to run various scenarios and determine optimal sample sizes efficiently has been highlighted as a key strength of the software. Additionally, the availability of webinars and user manuals further enhances the usability and effectiveness of nQuery's statistical analysis methods.

### Research and Development Tools
Users appreciate nQuery's research and development tools for their wide range of procedures available for sample size determination, making them invaluable during protocol development and study data review. The software's user-friendly interface and consistent performance have garnered trust among researchers, ensuring efficiency and accuracy in various research projects.

### Pharmaceutical Industry Applications
Users unanimously praise nQuery's exceptional capabilities in pharmaceutical industry applications. The software's robust features for sample size determination have garnered high acclaim from consulting statisticians, bio-statisticians, and researchers in the pharmaceutical industry. nQuery's ability to guide users through complex study designs and provide reliable sample size analysis has been particularly lauded, making it a valuable tool for various stages of clinical trial development and protocol review. Its wide range of procedures and user-friendly interface have solidified its reputation as a trusted companion for professionals working in pharmaceutical research and development.

### Adaptive Trial Features
Users universally praise nQuery's adaptive trial features for their flexibility and power. The ability to easily adjust parameters and visualize the impact on sample size and power is highly valued by users. Additionally, the variety of methods available for sample size calculation in adaptive trials is seen as a strong advantage of the software. Users appreciate the support provided by nQuery, including webinars that offer valuable insights into utilizing the adaptive trial features effectively.

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.

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.

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.

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.

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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The MasterControl Quality Excellence suite bundles a number of products supporting work quality and compliance including training and exams, incidents and corrective actions (CA), documents and change, and other modules.

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A Clinical Trial Management System(CTMS) supports research institutes and pharmaceutical to run clinical studies with human subjects. Therefore they store subject information and support research operations with planning, benchmarking, and reporting features, and also should integrate with a business intelligence or analytics platform, if it does not contain such features intrinsically.

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What is nQuery?