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It also features an expanded discussion of CASE expressions, and new sections on complex query applications, and grouping and performance. The second edition explores new and powerful features in SAS 9.3, and includes such topics as adding data to a table with a SET clause bulk loading data from Microsoft Excel distinguishing between DATA step merges and PROC SQL joins rules for designing indexes cardinality and index selectivity and demystifying join algorithms.
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Users can read it cover-to-cover or selectively by chapter they can use the extensive index to find content of interest or refer to the helpful "tips to remember" that precede each chapter to look for help on a specific topic. Packed with analysis and examples illustrating an assortment of PROC SQL options, statements, and clauses, this book can be approached in a number of ways. Proc SQL by Kirk Paul Lafler Kirk Lafler's PROC SQL: Beyond the Basics Using SAS, Second Edition, offers a step-by-step example-driven guide that helps readers master the language of PROC SQL. This book is part of the SAS Press program. Additional techniques include such topics as exact Poisson regression, partial proportional odds models, Newcombe confidence intervals, incidence density ratios, and so on.
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The material has also been revised and reorganized to reflect the evolution of categorical data analysis strategies. Many additional SAS statements and options are employed, and graphs such as effect plots, odds ratio plots, regression diagnostic plots, and agreement plots are discussed.
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The third edition updates the use of SAS/STAT software to SAS/STAT 12.1 and incorporates ODS Graphics. Topics discussed include assessing association in contingency tables and sets of tables, logistic regression and conditional logistic regression, weighted least squares modeling, repeated measurements analyses, loglinear models, generalized estimating equations, and bioassay analysis. Practical examples from a broad range of applications illustrate the use of the FREQ, LOGISTIC, GENMOD, NPAR1WAY, and CATMOD procedures in a variety of analyses. Koch Statisticians and researchers will find Categorical Data Analysis Using SAS, Third Edition, by Maura Stokes, Charles Davis, and Gary Koch, to be a useful discussion of categorical data analysis techniques as well as an invaluable aid in applying these methods with SAS. It's a resource not just to get you started, but one you'll return to as you continue to improve your programming skills.This book is part of the SAS Press program."Ĭategorical Data Analysis Using SAS, Third Edition by Maura E. This book is a great tool for users of SAS 9.4 as well.This title belongs on every SAS programmer's bookshelf. Other changes include expanded coverage of linguistic sorting and a new section on concatenating macro variables with other text.
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In addition, there is a now a full chapter devoted to ODS Graphics including the SGPLOT and SGPANEL procedures. Each topic is presented in a self-contained two-page layout complete with examples and graphics.The fifth edition has been completely updated to reflect the new default output introduced with SAS 9.3. Lora Delwiche and Susan Slaughter offer a user-friendly approach so readers can quickly and easily learn the most commonly used features of the SAS language. Slaughter "A classic that just keeps getting better, The Little SAS Book is essential for anyone learning SAS programming. Please review SAS JMP Pro’s frequently asked questions.The Little SAS Book by Lora D.
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The following training resources can be found in the SAS JMP Learning Center under the “Training” section:
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