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  • 1
    ISBN: 9781629605364 , 1629605360
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: SAS (Computer file) ; Medical care ; Standards ; United States ; Medical care ; United States ; Quality control ; Electronic books ; Electronic books ; local
    Abstract: 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, 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 new edition include an implementation of the Define-XML 2.0 standard, new SDTM domains, validation with Pinnacle 21 software, event narratives in JMP Clinical, and of course new versions of SAS and JMP software. 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.
    Note: Includes index. - Description based on online resource; title from title page (viewed January 9, 2017)
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    Cary, NC : SAS Institute
    ISBN: 159047855X , 9781590478554 , 9781590477939 , 1590477936
    Language: English
    Pages: 1 online resource
    Keywords: SAS (Computer file) ; Pharmaceutical technology Data processing ; Pharmaceutical industry Data processing ; SAS (Computer file) ; SAS (Computer file) ; Techniques pharmaceutiques ; Informatique ; Industrie pharmaceutique ; Informatique ; MEDICAL ; Drug Guides ; MEDICAL ; Pharmacology ; MEDICAL ; Pharmacy ; MEDICAL ; Nursing ; Pharmacology ; Pharmaceutical technology ; Data processing ; Pharmaceutical industry ; Data processing ; Pharmaceutical industry ; Data processing ; Pharmaceutical technology ; Data processing
    Abstract: At last! A real-world reference guide for clinical trial SAS programming, packed with solutions that programmers can apply to their day-to-day problems. Discover key techniques and tools available within Base SAS (including the macro language and PROC SQL), SAS/GRAPH, and SAS/STAT that can be used to resolve many common issues in working with clinical trial data. Organized to reflect the statistical programmer's work flow, this user-friendly text begins with an introduction to the working environment, then presents chapters on importing and massaging data into analysis data sets, producing clinical trial output, and exporting data. Valuable plug-and-play programming examples are provided throughout. Whether you're a novice seeking an introduction to SAS programming for the pharmaceutical industry or a junior-level programmer exploring new approaches to problem solving, you'll find a wealth of practical suggestions to help you sharpen your skills.
    Note: Includes bibliographical references and index
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : SAS Institute | Boston, MA : Safari
    ISBN: 9781642952414
    Language: English
    Pages: 1 online resource (294 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: 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.
    Note: Online resource; Title from title page (viewed May 30, 2019)
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    Online Resource
    Online Resource
    Cary, NC : SAS Institute
    ISBN: 9781629591490 , 1629591491
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: SAS (Computer file) ; Pharmaceutical technology ; Data processing ; Pharmaceutical industry ; Data processing ; Electronic books ; Electronic books ; local
    Abstract: This comprehensive resource provides on-the-job training for statistical programmers who use SAS in the pharmaceutical industry This one-stop resource offers a complete review of what entry- to intermediate-level statistical programmers need to know in order to help with the analysis and reporting of clinical trial data in the pharmaceutical industry. SAS Programming in the Pharmaceutical Industry, Second Edition begins with an introduction to the pharmaceutical industry and the work environment of a statistical programmer. Then it gives a chronological explanation of what you need to know to do the job. It includes information on importing and massaging data into analysis data sets, producing clinical trial output, and exporting data. This edition has been updated for SAS 9.4, and it features new graphics as well as all new examples using CDISC SDTM or ADaM model data structures. Whether you're a novice seeking an introduction to SAS programming in the pharmaceutical industry or a junior-level programmer exploring new approaches to problem solving, this real-world reference guide offers a wealth of practical suggestions to help you sharpen your skills. This book is part of the SAS Press program.
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed January 6, 2014)
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