Windows SAS 6.12 & 8.0 Practical Statistical Analysis Tutorial

Author: Military Medical University
Publisher:
Publish Date: 2001-03-01
Features: This book provides a detailed introduction to the meanings and functions of common windows, menu bars, and icons in the 6.12 and 8.0 versions of the WINDOWSSAS system. It covers the functions and usage of three non-programming modules (i.e., SAS/ASSIST, SAS/INSIGHT, and SAS/ANALYSTAPPLICATION). The book dedicates significant space to explaining various experimental design types, techniques for identifying design types, and the specific implementation of common experimental designs (such as factorial designs, fractional factorial designs, orthogonal designs, response surface designs, mixture designs, and sample size estimation). It also demonstrates various statistical calculations (including the analysis of quantitative and qualitative data; linear regression, curve fitting, multiple linear regression, and multiple logistic regression analysis; survival analysis, and other multivariate statistical analyses) using programming methods and the three non-programming modules, providing detailed interpretations of the output results. The book introduces methods for creating various statistical graphs and generating various reports. Additionally, it highlights some computational methods, application techniques, and new features added in SAS 8.0 that were not covered in the DOS environment version of SAS. This book not only facilitates convenient and efficient learning of the use of the WINDOWS version of SAS software but also promotes the flexible and correct application of statistical knowledge to solve complex statistical problems. It can serve as a textbook for graduate and undergraduate students in statistics, as well as a reference book for teachers, researchers, biomedical workers, and management professionals in universities, research institutions, and other fields who are learning and applying statistical methods. It can also be used as a practical manual for solving experimental design and statistical analysis problems using SAS software.