Longitudinal Data and SAS: A Programmer's Guide
Book information
Description
I have to give a very positive review to this book. Cody writes very nice introductory applied statistics books that emphasize SAS applications. This has good illustrations of a very important type of data analysis that biostatisticians doing clinical research need to know. Also, because in the analysis of clinical trials the FDA prefers analysis to be done using SAS, applications in SAS are important to have. If some or even most of this material is covered in another text as one reviewer suggests that does not mean that the biostatistician might not prefer to select this text which concentrates solely on longitudinal data. Also in the pharmaceutical industry where many clinical trials are conducted on longitudinal data, SAS programmers who are not statisticians are employed and books like this one can be of great use to them in their careers. The correct use of PROC Mixed in the analysis of longitudinal data is tricky and mistakes are easy to make.
Similar books
Using JMP 12. Student Edition
JMP 12 Specialized Models
JMP 8. Design of Experiments Guide
Introduction to Regular Expressions in SAS
Implementing CDISC Using SAS: An End-to-End Guide
SAS High-Performance Forecasting 2.2: User's Guide
Carpenters Complete Guide to the Sas Macro Language
