Books

	Analysis of Clinical Trials Using SAS: A Practical Guide by Alex Dmitrienko, Geert Molenbergs, Christy Chuang-Stein and Walter Offen A compilation of eight case studies in Activity-Based Costing (ABC) and Performance Management (PM), with a foreword from Gary Cokins about their tie into a PM framework, Case Studies in Performance Management features contributions from an anonymous perspective to respect the customer's confidentiality with follow-up reports on their success and/or failure. Each section includes a foreword and review of the case study by an industry expert, prominent performance management author or consultant. The case studies fall into a variety of industries including finance, life sciences, retail and the public sector. This comprehensive guide bridges the gap between modern statistical methodology and real-world clinical trial applications. Step-by-step instructions illustrated with examples from actual trials and case studies 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. Topics reflect the International Conference on Harmonization (ICH) guidelines for the pharmaceutical industry and address important statistical problems encountered in clinical trials.
	Pharmaceutical Statistics Using SAS: A Practical Guide by Alex Dmitrienko, Christy Chuang-Stein and Ralph D'Agostino Written by well-known experts in the pharmaceutical industry, this essential book provides relevant tutorial material and SAS examples to help readers new to a certain area of drug development quickly understand and learn popular data analysis methods and apply them to real-life problems. Step-by-step, the book introduces a wide range of data analysis problems encountered in drug development and illustrates them using a wealth of case studies from actual pre-clinical experiments and clinical studies. The book also provides SAS code for solving the problems.
	Common Statistical Methods for Clinical Research with SAS Examples, Second Edition by Glenn Walker Written by well-known experts in the pharmaceutical industry, this essential book provides relevant tutorial material and SAS examples to help readers new to a certain area of drug development quickly understand and learn popular data analysis methods and apply them to real-life problems. Step-by-step, the book introduces a wide range of data analysis problems encountered in drug development and illustrates them using a wealth of case studies from actual pre-clinical experiments and clinical studies. The book also provides SAS code for solving the problems.

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