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Clinical Graphs Using SAS by Sanjay Matange (2016, Book, Other)

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Title: Clinical Graphs Using Sas. Publisher: SAS INST. Number of Pages: 270. Weight: 1.03 lbs. Publication Date: 2016-03-21. ISBN13: 9781629597010.

About this product

Product Identifiers

PublisherSAS Institute

ISBN-101629597015

ISBN-139781629597010

eBay Product ID (ePID)248791520

Product Key Features

Number of Pages270 Pages

Publication NameClinical Graphs Using Sas

LanguageEnglish

SubjectProgramming / General, Mathematical & Statistical Software, Probability & Statistics / General, Enterprise Applications / General

Publication Year2016

TypeTextbook

AuthorSanjay Matange

Subject AreaMathematics, Computers

FormatBook, Other

Dimensions

Item Height0.6 in

Item Weight16.6 Oz

Item Length9.2 in

Item Width7.5 in

Additional Product Features

Intended AudienceScholarly & Professional

LCCN2016-499240

IllustratedYes

SynopsisSAS users in the Health and Life Sciences industry need to create complex graphs to analyze biostatistics data and clinical data, and they need to submit drugs for approval to the FDA. Graphs used in the HLS industry are complex in nature and require innovative usage of the graphics features. Clinical Graphs Using SAS(R) provides the knowledge, the code, and real-world examples that enable you to create common clinical graphs using SAS graphics tools, such as the Statistical Graphics procedures and the Graph Template Language. This book describes detailed processes to create many commonly used graphs in the Health and Life Sciences industry. For SAS(R) 9.3 and SAS(R) 9.4 it covers many improvements in the graphics features that are supported by the Statistical Graphics procedures and the Graph Template Language, many of which are a direct result of the needs of the Health and Life Sciences community. With the addition of new features in SAS(R) 9.4, these graphs become positively easy to create. Topics covered include the usage of SGPLOT procedure, the SGPANEL procedure and the Graph Template Language for the creation of graphs like forest plots, swimmer plots, and survival plots., SAS users in the Health and Life Sciences industry need to create complex graphs to analyze biostatistics data and clinical data, and they need to submit drugs for approval to the FDA. Graphs used in the HLS industry are complex in nature and require innovative usage of the graphics features. Clinical Graphs Using SAS® provides the knowledge, the code, and real-world examples that enable you to create common clinical graphs using SAS graphics tools, such as the Statistical Graphics procedures and the Graph Template Language. This book describes detailed processes to create many commonly used graphs in the Health and Life Sciences industry. For SAS® 9.3 and SAS® 9.4 it covers many improvements in the graphics features that are supported by the Statistical Graphics procedures and the Graph Template Language, many of which are a direct result of the needs of the Health and Life Sciences community. With the addition of new features in SAS® 9.4, these graphs become positively easy to create. Topics covered include the usage of SGPLOT procedure, the SGPANEL procedure and the Graph Template Language for the creation of graphs like forest plots, swimmer plots, and survival plots.

LC Classification NumberQA276.45.S27M37 2016