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What is nQuery?

Discover the numerous benefits of nQuery, which range from conducting sample size and power analyses to facilitating cutting-edge adaptive trial designs, thus positioning itself as the premier platform for trial design that not only expedites clinical studies but also minimizes costs while improving success rates. Researchers and biostatisticians around the world favor nQuery as a solution to the increasing intricacies of clinical trials, surging expenses, and changing regulations. Its user-friendly, spreadsheet-like interface allows for quick calculations of sample sizes suitable for FDA and EMA submissions without the need for any coding expertise. Serving both Frequentist and Fixed-term trials, nQuery simplifies reporting for all parties involved in the trial process. Users can benefit from realistic predictions of expected timelines and expenses, ensuring that their sample sizes are in harmony with both scientific insights and budgetary constraints. Additionally, nQuery's multiple factors tool enables precise adjustments to calculations, boasting over 1000 methods for sample size and power calculations, which allows for rapid determination of sample sizes in various contexts. By leveraging nQuery’s extensive features, you can confidently navigate the complexities of contemporary clinical trials and enhance the efficiency of your research endeavors. Embracing nQuery means embracing a smarter, more effective way to conduct clinical research in an ever-evolving landscape.

What is CSAM Studies?

CSAM Studies, previously referred to as MedSciNet Studies, is a powerful and flexible online platform that has effectively facilitated the management of clinical research for the past twenty years. This internet-based resource for medical studies offers an extensive array of applications aimed at the hosting, administration, and supervision of projects of various sizes and complexities. CSAM MedSciNet's standard offerings encompass all critical components needed to launch a fully functional study or clinical trial. Moreover, this exemplary solution is enhanced with features that support dynamic and interactive data entry forms, customizable workflow designs, and advanced tools for data validation, analysis, and exportation. By utilizing these capabilities, researchers can adopt a thorough and efficient strategy for overseeing their clinical trials. As a result, CSAM Studies continues to evolve, meeting the changing demands of medical research with innovative solutions.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Statistical Solutions

Company Location

United States

Company Website

www.statsols.com

Company Facts

Organization Name

CSAM Health

Date Founded

2005

Company Location

Norway

Company Website

www.csamhealth.com/solutions/health-analytics/csam-studies/

Categories and Features

Clinical Trial Management

21 CFR Part 11 Compliance
Document Management
Electronic Data Capture
Enrollment Management
HIPAA Compliant
Monitoring
Patient Database
Recruiting Management
Scheduling
Study Planning

Categories and Features

Clinical Trial Management

21 CFR Part 11 Compliance
Document Management
Electronic Data Capture
Enrollment Management
HIPAA Compliant
Monitoring
Patient Database
Recruiting Management
Scheduling
Study Planning

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