Using SAS for Data Management, Statistical Analysis, and Graphics

Introduction to SAS Installation Running SAS and a sample session Learning SAS and getting help Fundamental structures: Data step, procedures, and global statements Work process: The cognitive style of SAS Useful SAS background Accessing and controlling SAS output: The Output Delivery System The SAS Macro Facility: Writing functions and passing values Interfaces: Code and menus, data exploration, and data analysis Miscellanea Data Management Input Output Structure and meta-data Derived variables and data manipulation Merging, combining, and subsetting datasets Date and time variables Interactions with the operating system Mathematical functions Matrix operations Probability distributions and random number generation Control flow, programming, and data generation Further resources HELP examples Common Statistical Procedures Summary statistics Bivariate statistics Contingency tables Two sample tests for continuous variables Further resources HELP examples Linear Regression and ANOVA Model fitting Model comparison and selection Tests, contrasts, and linear functions of parameters Model diagnostics Model parameters and results Further resources HELP examples Regression Generalizations and Multivariate Statistics Generalized linear models Models for correlated data Further generalizations to regression models Multivariate statistics and discriminant procedures Further resources HELP examples Graphics A compendium of useful plots Adding elements Options and parameters Saving graphs Further resources HELP examples Advanced Applications Simulations and data generation Power and sample size calculations Sampling from a pathological distribution Read variable format files and plot maps Data scraping and visualization Missing data: Multiple imputation Further resources Appendix: The HELP Study Dataset Bibliography Subject Index SAS Index