Synopses & Reviews
LEARNING SAS IN THE COMPUTER LAB, 3RD EDITION, gets readers up and running quickly with SAS. Explaining concepts and commands in clear steps, the authors provide SAS basics so students can successfully apply computing techniques in statistics and acquire an appreciation of data analysis. This brief, affordable manual also ensures that readers learn enough about programming with SAS to be able to find their way around the many SAS reference manuals that they will use in their professional activities.
Synopsis
The second edition of this innovative lab manual teaches students the rudiments of the "SAS" System while they learn statistics. Twenty-two independent computer lab projects are included in the manual that focus on using "SAS" to analyze real data and to teach important statistical concepts. The first four required projects introduce "SAS" while the remaining 18 are completely independent and can be used in any order.
Synopsis
LEARNING SAS IN THE COMPUTER LAB, Second Edition gets students up and running quickly with SAS. Using clear sets of steps, Rebecca Elliott provides the SAS basics so students can master computing in statistics and acquire an appreciation of data analysis. This brief, affordable manual will ensure that students can find their way around the many SAS reference manuals.
About the Author
Rebecca Elliott has a Masters Degree in Statistics from Purdue University. She began her career with General Motors, supporting Current Product Manufacturing. She moved to Salt Lake City where she taught statistics at the University of Utah and developed the precursor to Learning SAS in the Computer Lab. She spent one year working for a survey research firm. She also provided statistical support through independent consulting. A native Hoosier, she has worked in Indianapolis for the past 10 years in the pharmaceutical industry supporting the manufacture of injectible drugs. Rebecca enjoys hiking in the desert, creating art with fabric, rooting for her team the WNBA Indiana Fever, traveling to sunny spots, and being on a spiritual path.Born in Cape Town, South Africa, Christopher Morrell obtained a bachelor?s degree at the University of Cape Town and a Ph.D. in statistics from the University of Wisconsin-Madison. Since then he has been a member of the Mathematical Sciences Department at Loyola College in Maryland, and teaches various undergraduate statistics courses. In addition, he was chair of the department from 2000 through 2006. Professor Morrell?s research involves statistical models that are used to describe repeated observations from longitudinal studies of aging. His statistical work has appeared in Journal of the American Statistical Association, Biometrics, Technometrics, Journal of the Royal Statistical Society: Series A and C, The American Statistician, Statistics in Medicine, and Communications in Statistics. He is also a co-author (with colleagues from the National Institute on Aging) on research that has appeared in numerous medical journals.
Table of Contents
INTRODUCTION 1. THE BASICS Data Set Structure / Data Steps and Proc Steps / The Data Step / Proc Print / The Input Statement / Comparison of Character Formats / SAS Program, Log, and List Files / Problems 2. MORE SAS BASICS Subsetting If / If...Then...Else Statements / Using Data from Outside Files / Missover Option on Infile Statement / Proc Sort / Set Statement / Problems 3. DATA MANAGEMENT How SAS "Thinks" / Lag Function / Drop and Keep Statements / Combining Data Sets / Comment Lines / Limiting the Number of Observations Read from External Files / Setting the Size of the Output / The Put Statement / Problems 4. SAS FUNCTIONS Numeric Functions / Character Functions / Probability Functions / Problems 5. DESCRIPTIVE STATISTICS I Label Statements / Title Statements / Proc Univariate / Problems 6. PROC CHART Proc Chart / Problems 7. DESCRIPTIVE STATISTICS II Proc Means / Proc Freq / Problems 8. GENERATING RANDOM OBSERVATIONS SAS Distributional Functions / Do Loops / Problems 9. X-Y PLOTS Proc Plot / Problems 10. ONE-SAMPLE TESTS FOR µ, P One-Sample t-Tests / Problems 11. TWO-SAMPLE T-TESTS Proc t-Test / t-Tests: Two-Sample, Pooled, and Paired / Problems 12. ONE-WAY ANOVA Analysis of Variance-Proc GLM and Proc ANOVA / Problems 13. TWO-WAY ANOVA AND MORE Two-Way ANOVA / General ANOVA Analysis / Problems 14. MODEL CHECKING IN ANOVA Plots for Model Checking / More on Proc GLM / Problems 15. CORRELATIONS Proc Corr / Problems 16. SIMPLE LINEAR REGRESSION Proc Reg / Problems 17. MODEL CHECKING IN REGRESSION Plots for Model Checking / More on Proc Reg / Problems 18. MULTIPLE LINEAR REGRESSION Multiple Regression / Problems 19. MULTIPLE REGRESSION: AIDS FOR SELECTING AND ASSESSING MODELS Statistics Used in Multiple Regression Model Checking / Proc Reg Selection = Option / Problems 20. STATISTICS FOR TWO-WAY TABLES Chi-Square Tests / Problems 21. NONPARAMETRIC TESTS One-Sample Tests / Tests for Two or More Samples / Problems 22. ANALYSIS OF COVARIANCE Using Proc GLM for ANCOVA / Problems 23. LOGISTIC REGRESSION Proc Logistic / Problems / APPENDIX: DESCRIPTION OF DATA SETS / INDEX