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SAS JMP Statistical Discovery Clinical 18.0

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SAS JMP Statistical Discovery Clinical 18.0JMP Clinical 18 中的增强版工具套件为您提供了更多选项,用于交互式探索临床试验数据、更轻松地过滤并快速筛查安全问题。
具有几个新的重要功能,包括新报告、查询研究数据的新方法以及新的临床数据映射工具。此外,对产品性能的彻底审查和检修可以提高加载和分析研究的速度。

JMP Clinical是一款专注于临床试验数据审查的专业产品。我们为用户提供“直接开箱即用”的功能,以便在研究、地点和受试者层面对临床试验进行彻底审查。它被药物赞助商和监管机构应用于整个制药行业。

JMP Clinical 可用于任何类型的临床试验数据分析,并附带多个用于临床安全审查、医疗监测和研究监测的内置报告。 JMP Clinical 18 通过下述新功能增强了此功能。


SAS JMP Statistical Discovery Clinical 18.0 | 738.6 mb
Languages Supported: English, 日本語, Simplified 中文

The analytics software developer SAS is pleased to announce the availability of JMP Statistical Discovery Clinical 18 is an analytical software application that makes it easy to review clinical trial data.
JMP Clinical offers tools to make it easy for key participants in the trial review process to explore trends and outliers, detect hidden data, identify safety and efficacy issues, and perform medical monitoring, data integrity validation, and statistical analyses. Summary dashboards in JMP Clinical enable medical reviewers to evaluate safety and efficacy issues with the click of a button. With JMP Clinical, medical writers can automate patient profiles and patient narratives to reduce the time and complexity of creating output for review and submission to regulatory agencies. The goal of clinical operations is to mitigate data quality risks that could hinder a regulatory submission or drug approval. Risk-based monitoring tools in JMP Clinical help you identify data anomalies at the vendor, monitor, site, and country level to determine the factors responsible for lapses in safety or data quality.

SAS is the leader in analytics. Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS gives you THE POWER TO KNOW.

Owner: SAS
Product Name: JMP Statistical Discovery Clinical
Version: 18.0
Supported Architectures: x64
Website Home Page : http://www.jmp.com
Languages Supported: multilanguage
System Requirements: Windows *
Size: 738.6 mb

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