SAS Essentials: A Guide to Mastering SAS for ResearchSAS Essentials provides an introduction to SAS statistical software, the premiere statistical data analysis tool for scientific research. Through its straightforward approach, the text presents SAS with step-by-step examples. With over fifteen years of teaching SAS courses and over fifty combined years of teaching and consulting by the authors, this valuable reference presents data manipulation and statistical techniques, including a website with examples. This textbook is essential for teachers because the chapters are self-contained and may be used accordingly to the teacher?s preference, whether for a one-semester or two-semesters course. |
Contents
GETTING STARTED | 1 |
GETTING DATA INTO SAS | 19 |
READING WRITING AND IMPORTING DATA | 50 |
PREPARING DATA FOR ANALYSIS | 73 |
PREPARING TO USE SAS PROCEDURES | 109 |
EVALUATING QUANTITATIVE DATA | 130 |
ANALYZING COUNTS AND TABLES | 159 |
COMPARING MEANS USING TTESTS | 187 |
LOGISTIC REGRESSION | 260 |
ANALYSIS OF VARIANCE PART II | 277 |
CREATING GRAPHS | 305 |
CONTROLLING OUTPUT USING ODS | 331 |
ADVANCED SAS PROGRAMMING TOPICS | 351 |
APPENDIX | 377 |
APPENDIX | 385 |
APPENDIX C | 397 |
Other editions - View all
SAS Essentials: A Guide to Mastering SAS for Research Alan C. Elliott,Wayne A. Woodward No preview available - 2010 |
SAS Essentials: A Guide to Mastering SAS for Research Alan C. Elliott,Wayne A. Woodward No preview available - 2009 |
Common terms and phrases
analysis of variance ANOVA boxplots C:\SASDATA calculate Chapter color column create a SAS data set named DATA step data values DATALINES descriptive statistics Editor window example illustrates EXAMPLE This example file name folder GENDER graph HANDS-ON EXAMPLE histogram independent variable indicates INPUT statement kappa kappa statistic Kruskal-Wallis test LABEL logistic logistic regression macro MODEL statement multiple comparisons MYSASLIB normality normally distributed null hypothesis observe the output ODS GRAPHICS ODS HTML CLOSE open the file option Output window p-value perform plot predict PROC ANOVA PROC CORR PROC FORMAT PROC FREQ PROC GLM PROC GPLOT PROC MEANS PROC MIXED PROC PRINT PROC REG PROC SORT PROC TTEST PROC UNIVARIATE program and observe repeated measures Run the program sample SAS code SAS data set SAS library SAS procedures SAS program scatterplot shown in Table specify Style syntax t-test technique tells SAS TIME1 TIME2 TITLE variable names