YuTing Tian
Statistical Programmer, Vertex Pharmaceuticals
YuTing Tian completed her Master of Science in Statistics and works for Vertex Pharmaceuticals as a statistical programmer. She has published a number of papers related to artificial Intelligence, statistical analysis, and statistical programming with SAS/R/Python. These are mostly derived from papers that she presented at conferences including SAS Global Forum and Joint Statistical Meetings (JSM). One of her papers, presented at PharmaSUG, was awarded “Best Paper” in the ePoster session. She won first place for public speech in the international Toastmaster competition, Area 33 (Cambridge, MA).
YuTing is a native of China and has been living in the US for almost five years. She has been perfecting her skills playing the violin and taking lessons to be licensed as a private pilot. She has a license to drive engine-driven boats and in 2022 won two team silver medals with Pentasus in the Boston Hong Kong Dragon Boat races.
By This Author
An Introduction to Creating Standardized Clinical Trial Data with SAS®
By Todd Case and YuTing Tian
An indispensable guide for statistical programmers in the pharmaceutical industry.
Statistical programmers in the pharmaceutical industry need to create standardized clinical data using rules created and governed by the Clinical Data Interchange Standards Consortium (CDISC). This book introduces the basic concepts, pharmaceutical industry knowledge, and SAS programming practices that every programmer needs to know to comply with regulatory requirements. Step-by-step, you will learn how data should be structured at each stage of the process from annotating electronic Case Report Forms (eCRFs) and defining the relationship between SDTM and ADaM, to understanding how to generate a Define-XML file to transmit metadata. Filled with clear explanations and example code, this book focuses only on the essential information that entry-level programmers need to succeed.
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"An Introduction to Creating Standardized Clinical Trial Data with SAS is a new book designed to give programmers a jump start into the regulatory requirements of the pharmaceutical industry. This unique book goes behind the scenes to better explain the mechanics of SDTMs and ADaMs."
Sunil Gupta
SAS/CDISC Consultant, Trainer and Author
Featured Authors
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Terisa Roberts is a director and Global Solution lead for Risk Modeling and Decisioning at SAS. She has extensive experience in quantitative risk management, regulatory compliance, and model governance and validation. She has worked in financial services, telecommunications, government, energy, and retail sectors.
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Ron Klimberg, PhD, is a professor at the Haub School of Business at Saint Joseph's University in Philadelphia, PA.
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Robert N. Rodriguez retired from SAS in 2018 after serving as a senior director in research and development. Bob received a PhD in statistics from the University of North Carolina at Chapel Hill and was a research statistician at General Motors Research Laboratories before joining SAS.
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Todd Case has been working in the pharmaceutical industry as a statistical programmer for over 20 years. He completed his MS in Epidemiology from Columbia University and has worked at Forest Laboratories (now Allergan), Genentech, Bristol-Myers Squibb, and Biogen. He currently works at Vertex Pharmaceuticals.