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Recommended Titles For Instructors» Research/Clinical


Below is a list of our recommended titles, organized by category. You can download the code and data for these books from the SAS Press Author Pages. Our online bookstore lists all available titles.

Research/Clinical Books

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 book cover

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 book cover

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 book cover

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 book cover

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 book cover

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 book cover

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 drug developers.

SAS for Monte Carlo Studies: A Guide for Quantitative Researchers book cover

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 book cover

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 book cover

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 Survival Analysis Techniques for Medical Research, Second Edition book cover

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.

Validating Clinical Trial Data Reporting with SAS book cover

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).


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