![]() The book also provides instruction and examples on analysis of variance, correlation and regression, nonparametric analysis, logistic regression, creating graphs, controlling outputs using ODS, as well as advanced topics in SAS programming. Designed for those new to SAS and filled with illustrative examples, the book shows how to read, write and import data prepare data for analysis use SAS procedures evaluate quantitative data analyze counts and crosstabulation tables and compare means using the t-test. It's also a valuable reference tool for any researcher currently using SAS. SAS Essentials introduces a step-by-step approach to mastering SAS software for statistical data analysis. Through its straightforward approach, the text presents SAS with step-by-step examples. For SAS Users: SAS Essentials: A Guide to Mastering SAS 2nd Edition - provides an introduction to SAS statistical software, the premiere statistical data analysis tool for scientific research.See for files mentioned in these tutorials, © TexaSoft, 2007-10. If you have suggestions, or if you encounter errors in any of these tutorials, please contact us. SAS PowerPoint Slides for SAS Essentials:Mastering SAS for Data Analytics (2nd Edition) PART 1: DATA MANIPULATION AND THE SAS® PROGRAMMING LANGUAGEĬhapter 3: Reading, Writing and Importing Data PART IĬhapter 3: Reading, Writing and Importing Data PART IIĬhapter 5: Preparing to use SAS ProceduresĬhapter 6: SAS Advanced Programming Topics Part IĬhapter 7: SAS Advanced Programming Topics Part IIĬhapter 8: Controlling Output Using ODS PART 2: STATISTICAL ANALYSIS USING SAS® PROCEDURESĬhapter 11: Comparing Means Using T-TestsĬhapter 14: Analysis of Variance Part 2 more to come. ![]() New - Mantel-Haenszel analysis (pooling 2x2 tables/Meta analysis).Inter-Rater Reliability, Kappa, Weighted Kappa (PROC FREQ).Survival Analysis & comparison of groups(PROC LIFEREG)- Life Tables, Kaplan-Meier.Logistic regresion from count data (PROC LOGISTIC) NEW.PROC GLM Tutorial (Repeated measures ANOVA using PROC GLM).PROC ANOVA & GLM Tutorial (One-Way ANOVA).A comparison of Paired & Independent Sample t-tests.Revised: PROC TTEST - Paired data t-test.Fisher's Exact Test Macro using PROC FREQ - report compact output for multitple tests.Chi-Square 2xC with Multiple Compa risons.Simple Linear Regression using PROC REG.Bland-Altman Analysis (Comparing two measures).PROC FREQ Tutorial 2 (Two-way tables, Pearson's Chi-Square).PROC CORR Tutorial (Pearson & Spearman Correlation).PROC FREQ Tutorial 1 (Frequency Tables/Goodness of Fit).New: PROC UNIVARIATE - Advanced Tutorial.PROC UNIVARIATE Tutorial (Distribution analysis).PROC MEANS Tutorial (Descriptive statistics).Setting the SAS Initial Folder (default directory).Using the %LET statement (SAS macro variables).Reset the HTML default output (Results Viewer) preference.Using SAS ODS Output, Styles, Graphics, Data.Use the SAS FIND and SUBSTR functions to extract a value within a string.Use SAS INPUT to convert a character variable to a number.Use SAS SYMPUT to create a variable name within a macro.SAS SCAN Function - extract a text string from a phrase or list.SAS Concatenation Functions ( CATT, CAT, CATS, CATX).Converting Dates from Character Type (uses INPUT and INTCK functions).Read and Write SAS Data Sets the EASY way.Tutorial on how SAS Processes Data in the DATA Step.Students using SAS and R will also find it an excellent choice for reference and data analysis.DATA MANIPULATION in SAS Reading and Manipulation Data Sets In SAS Academics, practitioners and SAS and R programmers will find this book a valuable resource. * Supported by a supplementary website featuring example program code. * Looks at the most common statistical tests, displayed in a clear and easy to follow way. Key features: * Provides examples in both SAS and R for each test presented. Examples in both SAS and R are provided, along with program code to perform the test, resulting output and remarks explaining the necessary program parameters. A general summary of statistical test theory is presented, along with a basic description for each test, including the necessary prerequisites, assumptions, the formal test problem and the test statistic. Statistical Hypothesis Testing with SAS and R by Dirk Taeger Sonja Kuhnt A comprehensive guide to statistical hypothesis testing with examples in SAS and R When analyzing datasets the following questions often arise: Is there a short hand procedure for a statistical test available in SAS or R? If so, how do I use it? If not, how do I program the test myself? This book answers these questions and provides an overview of the most common statistical test problems in a comprehensive way, making it easy to find and perform an appropriate statistical test.
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