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- Author: Jack Shostak
- Publisher: SAS Institute
- ISBN-10: 1635269148
- ISBN-13: 9781635269147
- Format: 19.1 x 23.5 x 1.9 cm, kieti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
SAS Programming in the Pharmaceutical Industry, Second Edition (e-book) (used book) | bookbook.eu
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Description
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.
EXTRA 10 % discount with code: EXTRA
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- Author: Jack Shostak
- Publisher: SAS Institute
- ISBN-10: 1635269148
- ISBN-13: 9781635269147
- Format: 19.1 x 23.5 x 1.9 cm, kieti viršeliai
- Language: English English
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.
Reviews