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.

Guides researchers in performing and presenting high-quality analyses of all kinds of non-randomized studies.

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.

Uses practical examples from clinical research to illustrate both statistical and SAS methodology. Includes use of ODS graphics and new emphasis on PROC MIXED.

Demonstrates how you can use SAS and SAS/Genetics to extract answers from your quantitative and molecular genetics data.

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.

Provides detailed and practical guidance for conducting Monte Carlo studies using SAS.

A real-world reference guide for clinical trial SAS programming, packed with solutions that programmers can apply to their day-to-day problems.

Presents the theory and methods of survival analysis along with excellent discussions of the SAS procedures used to implement the methods described.

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).