Clinical Data Quality Checks for CDISC Compliance Using SAS, Gupta, Sunil

Автор: Gupta Sunil
Название: Clinical Data Quality Checks for CDISC Compliance Using SAS
ISBN: 0367362775 ISBN-13(EAN): 9780367362775
Издательство: Taylor&Francis
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Цена: 44910.00 T
Наличие на складе: Невозможна поставка.
Описание: Clinical Data Quality Checks for CDISC Compliance using SAS is the first book focused on identifying and correcting data quality and CDISC compliance issues with real-world innovative SAS programming techniques such as Proc SQL, metadata and macro programming.

Автор: Holland Chris, Shostak Jack
Название: Implementing CDISC Using SAS: An End-to-End Guide, Revised Second Edition
ISBN: 1642952656 ISBN-13(EAN): 9781642952650
Издательство: Неизвестно
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Цена: 95580.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

Автор: Wai Keung Li
Название: Diagnostic Checks in Time Series
ISBN: 1584883375 ISBN-13(EAN): 9781584883371
Издательство: Taylor&Francis
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Цена: 163330.00 T
Наличие на складе: Нет в наличии.
Описание: In this book, author Wai Keung Li--one of the world`s top authorities in time series modeling--concentrates on diagnostic checking methods for stationary time series, bringing together the previously scattered literature on the subject.

Автор: Svolba Gerhard
Название: Data Quality for Analytics Using SAS
ISBN: 1642953121 ISBN-13(EAN): 9781642953121
Издательство: Неизвестно
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Цена: 112740.00 T
Наличие на складе: Невозможна поставка.
Описание: Analytics offers many capabilities and options to measure and improve data quality, and SAS is perfectly suited to these tasks. Gerhard Svolba's Data Quality for Analytics Using SAS focuses on selecting the right data sources and ensuring data quantity, relevancy, and completeness. The book is made up of three parts. The first part, which is conceptual, defines data quality and contains text, definitions, explanations, and examples. The second part shows how the data quality status can be profiled and the ways that data quality can be improved with analytical methods. The final part details the consequences of poor data quality for predictive modeling and time series forecasting.

With this book you will learn how you can use SAS to perform advanced profiling of data quality status and how SAS can help improve your data quality.