These titles are a must-read for professors, students, and researchers interested in expanding their research capabilities in SAS.
|Analysis of Clinical Trials Using SAS: A Practical Guide
By Alex Dmitrienko, Ph.D., Geert Molenberghs, Ph.D., Christy Chuang-Stein, Ph.D., and Walter Offen, Ph.D.
Step-by-step instructions illustrated with examples from actual trials and case studies that serve to define a statistical method and its
relevance in a clinical trials setting and to illustrate how to implement the method rapidly and efficiently using the power of SAS software.
|Analysis of Observational Health Care Data Using SAS
By Douglas Faries, Andrew Leon, Josep Haro, and Robert Obenchain
Guides researchers in performing and presenting high-quality analyses of all kinds of non-randomized studies.
|Analyzing Receiver Operating Characteristic Curves with SAS
By Mithat Gonen
This example-driven book illustrates the many existing SAS procedures that can be tailored to produce ROC curves and expands upon further analyses using other SAS procedures and macros.
|Common Statistical Methods for Clinical Research with SAS Examples, Third Edition
By Glenn Walker and Jack Shostak
Uses practical examples from clinical research to illustrate both statistical and SAS methodology. Includes use of ODS graphics and new emphasis on PROC MIXED.
|Genetic Analysis of Complex Traits Using SAS
Edited by Arnold M. Saxton, Ph.D.
Demonstrates how you can use SAS and SAS/Genetics to extract answers from your quantitative and molecular genetics data.
|Pharmaceutical Statistics Using SAS: A Practical Guide|
By Alex Dmitrienko, Christy Chuang-Stein, and Ralph D'Agostino
This essential new book offers extensive coverage of cutting-edge biostatistical methodology used in drug development and the practical problems facing today's
|SAS for Monte Carlo Studies: A Guide for Quantitative Researchers
By Xitao Fan, Ph.D., Akos Felsovalyi, M.S., Stephen A. Sivo, Ph.D., and Sean C. Keenan, Ph.D.
Provides detailed and practical guidance for conducting Monte Carlo studies using SAS.
|Practical Time Series Analysis Using SAS|
By Anders Milhøj
Explains and demonstrates through examples how you can use SAS for time series analysis. It teaches, with numerous examples, how to apply modern procedures for forecasting, seasonal adjustments, and decomposition of time series with very simple coding.
|SAS Programming in the Pharmaceutical Industry, Second Edition|
By Jack Shostak
A real-world reference guide for clinical trial SAS programming, packed with solutions that programmers can apply to their day-to-day problems.
|SAS Programming with Medicare Administrative Data|
By Matthew Gillingham
Learn the entire process of programming with Medicare data—from obtaining access to data; to measuring cost, utilization, and quality; to overcoming common challenges.
|SAS Survival Analysis Techniques for Medical Research, Second Edition|
By Alan Cantor, Ph.D.
Presents the theory and methods of survival analysis along with excellent discussions of the SAS procedures used to implement the methods described.
|A Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling, Second Edition|
By Norm O'Rourke, Ph.D., R.Psych. andLarry Hatcher, Ph.D
Structural equation modeling has become one of the most important statistical procedures in the social and behavioral sciences. This single user-friendly volume, gently guides users through performing some of the most sophisticated data analysis procedures used by researchers today.
|Validating Clinical Trial Data Reporting with SAS
By Carol I. Matthews and Brian Shilling
Focuses on validating programs written to support the clinical trial process from after the data collection stage to generating reports and submitting data and output to the Food and Drug Administration (FDA).