Author: Alex Dmitrienko
Edition: 1
Publisher: SAS Institute
Binding: Paperback
ISBN: 159047886X
Pharmaceutical Statistics Using SAS: A Practical Guide (SAS Press)
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. Medical books Pharmaceutical Statistics Using SAS. Written by well-known experts in the pharmaceutical industry, it 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. Among the topics addressed are these:
drug discovery experiments to identify promising chemical compounds
animal studies to assess the toxicological profile of these compounds
clinical pharmacology studies to examine the properties of new drugs in healthy human subjects
Phase II and Phase III clinical trials to establish therapeutic benefits of experimental drugs
Additional features include a discussion of methodological issues, practical advice from subject-matter experts, and review of relevant regulatory guidelines Medical books Pharmaceutical Statistics Using Sas A Practical Guide, 9781590478868. Pharmaceutical Statistics Using Sas A Practical Guide, ISBN-13: 9781590478868, ISBN-10: 159047886X
Download link for Pharmaceutical Statistics Using SAS: A Practical Guide (SAS Press)
Medical Book Pharmaceutical Statistics Using SAS
Written by well-known experts in the pharmaceutical industry, it 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. Among the topics addressed are these:
drug discovery experiments to identify promising chemical compounds
animal studies to assess the toxicological profile of these compounds
clinical pharmacology studies to examine the properties of new drugs in healthy human subjects
Phase II and Phase III clinical trials to establish therapeutic benefits of experimental drugs
Additional features include a discussion of methodological issues, practical advice from subject-matter experts, and review of relevant regulatory guidelines. Most chapters are self-contained and include a fair amount of high-level introductory material to make them accessible to a broad audience of pharmaceutical scientists. This book will also serve as a useful reference for regulatory scientists as well as academic researchers and graduate students.
