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Implementing CDISC Using SAS: An End-to-End Guide, Revised Second Edition, Holland Chris, Shostak Jack


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Автор: Holland Chris, Shostak Jack
Название:  Implementing CDISC Using SAS: An End-to-End Guide, Revised Second Edition
ISBN: 9781642952650
Издательство: SAS Institute
Классификация:

ISBN-10: 1642952656
Обложка/Формат: Hardcover
Страницы: 294
Вес: 0.72 кг.
Дата издания: 31.05.2019
Язык: English
Издание: 2nd ed.
Размер: 235 x 191 x 18
Читательская аудитория: General (us: trade)
Подзаголовок: An end-to-end guide, revised second edition
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Поставляется из: США
Описание: For decades researchers and programmers have used SAS to analyze, summarize, and report clinical trial data. Now Chris Holland and Jack Shostak have updated their popular Implementing CDISC Using SAS, 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, Revised Second Edition, is an all-inclusive guide on how to implement and analyze the Study Data Tabulation Model (SDTM) and the Analysis Data Model (ADaM) data and prepare clinical trial data for regulatory submission. Updated to reflect the 2017 FDA mandate for adherence to CDISC standards, this new edition covers 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. Topics included in this edition include an implementation of the Define-XML 2.0 standard, new SDTM domains, validation with Pinnacle 21 software, event narratives in JMP Clinical, STDM and ADAM metadata spreadsheets, and of course new versions of SAS and JMP software. The second edition was revised to add the latest C-Codes from the most recent release as well as update the make_define macro that accompanies this book in order to add the capability to handle C-Codes. The metadata spreadsheets were updated accordingly.

Any manager or user of clinical trial data in this day and age is likely to benefit from knowing how to either put data into a CDISC standard or analyzing and finding data once it is in a CDISC format. If you are one such person--a data manager, clinical and/or statistical programmer, biostatistician, or even a clinician--then this book is for you.



SAS Programming in the Pharmaceutical Industry, Second Edition

Автор: Shostak Jack
Название: SAS Programming in the Pharmaceutical Industry, Second Edition
ISBN: 1635269148 ISBN-13(EAN): 9781635269147
Издательство: Неизвестно
Цена: 17279.00 р.
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Common Statistical Methods for Clinical Research with SAS Examples, Third Edition

Автор: Walker Glenn a., Shostak Jack
Название: Common Statistical Methods for Clinical Research with SAS Examples, Third Edition
ISBN: 1642953083 ISBN-13(EAN): 9781642953084
Издательство: Неизвестно
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Цена: 29602.00 р.
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Описание: Glenn Walker and Jack Shostak's Common Statistical Methods for Clinical Research with SAS Examples, Third Edition, is a thoroughly updated edition of the popular introductory statistics book for clinical researchers. This new edition has been extensively updated to include the use of ODS graphics in numerous examples as well as a new emphasis on PROC MIXED. Straightforward and easy to use as either a text or a reference, the book is full of practical examples from clinical research to illustrate both statistical and SAS methodology. Each example is worked out completely, step by step, from the raw data.

Common Statistical Methods for Clinical Research with SAS Examples, Third Edition, is an applications book with minimal theory. Each section begins with an overview helpful to nonstatisticians and then drills down into details that will be valuable to statistical analysts and programmers. Further details, as well as bonus information and a guide to further reading, are presented in the extensive appendices. This text is a one-source guide for statisticians that documents the use of the tests used most often in clinical research, with assumptions, details, and some tricks--all in one place.


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