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论坛 数据科学与人工智能 数据分析与数据科学
4979 10
2014-11-26
For decades researchers and programmers have used SAS to analyze, summarize, and report clinical trial data. Now Chris Holland and Jack Shostak have written the first comprehensive book on applying clinical research data and metadata to the Clinical Data Interchange Standards Consortium (CDISC) standards.
Implementing CDISC Using SAS: An End-to-End Guide is an all-inclusive guide on how to implement and analyze Study Data Tabulation Model (SDTM) and Analysis Data Model (ADaM) data and prepare clinical trial data for regulatory submissions. Topics covered include creating and using metadata, developing conversion specifications, implementing and validating SDTM and ADaM data, determining solutions for legacy data conversions, and preparing data for regulatory submission. The book covers products such as Base SAS, SAS Clinical Data Integration, and the SAS Clinical Standards Toolkit, as well as JMP Clinical.
Anyone dealing with CDISC standards--including SAS or JMP programmers, statisticians, and data managers in the pharmaceutical, biotechnology, or medical device industries--will find the philosophical best practices and implementation examples in this book invaluable.

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Implementing CDISC Using SAS An End-to-End Guide.rar
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2014-11-27 09:53:54
为何是word版的?没有pdf版的?
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2014-11-28 05:27:11
多谢了,正好需要这方面的资料
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2014-11-28 09:36:11
TJhanks for sharing
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2014-11-29 07:16:35
谢谢分享
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2014-11-30 10:44:22
谢谢分享
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