Christy Chuang-Stein is an independent statistical consultant with 30 years of experience in the pharmaceutical industry. She was Vice President, Head of the Statistical Research and Consulting Center (SRCC) when she retired from Pfizer in 2015. As the Head of the SRCC, Christy led a group of expert statistical consultants in providing strategic consultation to all teams that could benefit from the use of statistical thinking at Pfizer. In addition, Christy and her team collaborated broadly with scientists, both internally and externally.
Christy is a Fellow of the American Statistical Association with more than 145 publications including several book chapters and two books. Christy is a repeat recipient of Drug Information Association’s Donald E. Francke Award for Overall Excellence in Journal Publishing and Thomas Teal Award for Excellence in Statistics Publishing. Christy is a founding editor of the journal Pharmaceutical Statistics and has served on several editorial boards. Christy was a vice president of the American Statistical Association (ASA, 2009-2011). She received ASA’s Founders’ Award in 2012 and the Distinguished Achievement Award of the International Chinese Statistical Association in 2014.
By This Author
Pharmaceutical Statistics Using SAS®: A Practical Guide
Edited by Alex Dmitrienko, Christy Chuang-Stein, and Ralph B. D'Agostino
Introduces a range of data analysis problems encountered in drug development and illustrates them using case studies from actual pre-clinical experiments and clinical studies. Includes a discussion of methodological issues, practical advice from subject matter experts, and review of relevant regulatory guidelines.
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Analysis of Clinical Trials Using SAS®: A Practical Guide
By Alex Dmitrienko, Geert Molenberghs, Christy Chuang-Stein, and Walter Offen
This comprehensive guide bridges the gap between statistical methodology and real-world clinical trial applications. Topics reflect the International Conference on Harmonization (ICH) guidelines for the pharmaceutical industry and address important statistical problems encountered in clinical trials.