SAS Workbook / Edition 1

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Beginning with problems related to the DATA step, moving to elementary and then advanced exercises on frequently used SAS procedures, and also covering problems in statistical analysis, the book offers challenges for beginning, intermediate, and advanced programmers.
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Product Details

  • ISBN-13: 9781555447571
  • Publisher: SAS Institute Inc.
  • Publication date: 3/1/1996
  • Edition description: New Edition
  • Edition number: 1
  • Pages: 254
  • Product dimensions: 7.50 (w) x 9.25 (h) x 0.53 (d)

Meet the Author

Ron Cody, EdD, a retired professor from the Robert Wood Johnson Medical School now works as a private consultant and a national instructor for SAS Institute Inc. A SAS user since 1977, Ron's extensive knowledge and innovative style have made him a popular presenter at local, regional, and national SAS conferences. He has authored or co-authored numerous books, such as Learning SAS by Example: A Programmer's Guide; SAS Statistics by Example, Applied Statistics and the SAS Programming Language, Fifth Edition; The SAS Workbook; The SAS Workbook Solutions; Cody's Data Cleaning Techniques Using SAS, Second Edition; Longitudinal Data and SAS: A Programmer's Guide; SAS Functions by Example, Second Edition, and Cody's Collection of Popular Programming Tasks and How to Tackle Them, as well as countless articles in medical and scientific journals.
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Table of Contents

Preface v
Acknowledgments vii
Section 1 Data Step Programming
1 Inputting Raw Data 3
2 Reading and Writing from External Files 15
3 Using Logical Structures: IF-THEN/ELSE, WHERE, and SELECT 17
4 Combining SAS Data Sets 21
5 Using Numerical Functions 31
6 Using Character Functions 39
7 Working with Dates 45
8 Using Arrays 49
9 Looking Back and Ahead Across Observations 57
10 Working with Longitudinal Data: Multiple Observations per Subject 63
11 Writing Simple DATA Step Reports 69
Section 2 Procedures (Non-statistical Problems)
12 The FORMAT Procedure 75
13 The PRINT Procedure 83
14 The SORT Procedure 89
15 The FREQ Procedure 93
16 The MEANS Procedure 99
17 The TABULATE Procedure 103
18 The CHART Procedure 117
19 The PLOT Procedure 125
Section 3 SAS Programming Techniques
20 Efficient Programming 131
21 Longer and More Advanced Problems 141
Section 4 Statistics Problems
22 Basic Descriptive Statistics 147
23 Tests of Proportions 151
24 Comparing Means: Two Groups 157
25 Analysis of Variance 161
26 Parametric and Nonparametric Correlations 173
27 Simple, Multiple, and Logistic Regression 177
28 Random Assignment and Random Selection of Subjects 181
29 More Advanced Statistics Projects 185
Section 5 SAS Puzzles to Test Your Skills
30 SAS Puzzles 197
Section 6 Appendix
Appendix 205
Index 217
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