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This title details useful techniques for conducting operations between observations in a SAS data set. For quick reference, the book;
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short courses on longitudinal and incomplete data at the Joint Statistical Meetings of 2002 and 2004.;
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This book provides a comprehensive treatment of linear mixed models for continuous longitudinal data. Next to model formulation, this;
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, including regression, analysis of variance and covariance, longitudinal and survival data analysis, missing data, generalized additive models (GAMs;
Vergelijkbare producten zoals Applied Medical Statistics Using SAS
of children, heart transplant treatment, and crime rate determinants. With the data sets and SAS code available online, this book remains the go-to;
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of children, heart transplant treatment, and crime rate determinants. With the data sets and SAS code available online, this book remains the go;
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Analyzing Longitudinal Clinical Trial Data: A Practical Guide provides practical and easy to implement approaches for bringing the latest;
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Analyzing Longitudinal Clinical Trial Data: A Practical Guide provides practical and easy to implement approaches for bringing the latest;
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author introduces the foundations of longitudinal and panel data analysis at a level suitable for quantitatively oriented graduate social science;
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author introduces the foundations of longitudinal and panel data analysis at a level suitable for quantitatively oriented graduate social science;
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. -Journal of Statistical Software Clinical Trial Data Analysis Using R and SAS, Second Edition provides a thorough presentation;
Vergelijkbare producten zoals Clinical Trial Data Analysis Using R and SAS
. -Journal of Statistical Software Clinical Trial Data Analysis Using R and SAS, Second Edition provides a thorough presentation of biostatistical;
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Edward F. Vonesh's "Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using SAS" is devoted to the;
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of the American Statistical Association Features newly developed topics and applications of the analysis of longitudinal data Applied;
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Edward F. Vonesh's Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using SAS is devoted to the;
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their own data analysis needs. Data, R, and SAS scripts can be found online at http://www.spesi.org.;
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Statistical Data Mining Using SAS Applications, Second Edition describes statistical data mining concepts and demonstrates the features;
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Build a strong foundation in SAS data warehousing by understanding data transformation code and policy, data stewardship and management;
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and data related problems Reinforce your SAS knowledge with more than 150 technically challenging questions Ideal for intermediate to;
Vergelijkbare producten zoals Sharpening Your SAS Skills
and data related problems Reinforce your SAS knowledge with more than 150 technically challenging questions Ideal for intermediate to;
Vergelijkbare producten zoals Sharpening Your SAS Skills
Data simulation is a fundamental technique in statistical programming and research. Rick Wicklin's Simulating Data with SAS brings together;
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using SAS and become well-versed in SAS programming Work with different data structures, and run SQL queries to manipulate your data Explore;
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files, creating and modifying SAS data sets, and identifying and correcting data syntax and programming logic errors. You will also become;
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to do loglinear analysis and GEE estimation for longitudinal binary data. Only basic knowledge of the SAS DATA step is assumed. The second;
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Provides comprehensive information about the Base SAS data set options. This title is also available online. SAS Products and Releases;
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Leverage the capabilities of SAS to process and analyze Big Data About This Book * Combine SAS with platforms such as Hadoop, SAP;
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DATA and PROC steps, inputting data, modifying and combining data sets, and debugging SAS programs.;
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