{{Short description|US government statistician}} {{Use dmy dates|cs1-dates=ly|date=September 2023}} {{Use list-defined references|date=September 2023}} '''Lilly Qinli Yue''' is a US government statististician, known for her work on "real-world evidence" on health care from non-clinical sources such as billing data and product registries.{{r|rwe}} She is deputy director of the Division of Biostatistics in the Center for Devices and Radiological Health of the Food and Drug Administration.{{r|wiley}}
==Education and career== Yue has a bachelor's degree in mathematics, a master's degree in stochastic operations research, and a master's degree in mathematical statistics.{{r|wiley|icsa}} She completed a Ph.D. at Texas A&M University in 1996, with the dissertation ''Chemometric Calibration and Partial Least Squares'' supervised by Michael Longnecker.{{r|tamu}}
She was a senior statistician at Eli Lilly and Company before moving to the Food and Drug Administration in 1998.{{r|icsa}}
==Recognition== Yue was elected as a Fellow of the American Statistical Association in 2014.{{r|fasa}} In 2020, as part of the RWE Methods Group at the FDA, she was a recipient of the FDA's Excellence in Data Science Group Award, "for extraordinary achievements in the timely development and active promotion of novel statistical methods for leveraging real-world evidence to support regulatory decision-making".{{r|xds}}
==References== <references>
<ref name=fasa>{{citation|url=https://ww2.amstat.org/fellows/|title=ASA Fellows|publisher=American Statistical Association|access-date=2023-09-06}}</ref>
<ref name=icsa>{{citation|title=Candidates for Directors of ICSA Board (2015–2017): 9. YUE, Lilly|page=82|date=July 2014|volume=26|issue=2|url=https://icsaimage.files.wordpress.com/2015/10/icsabulletin14jul-big.pdf|journal=International Chinese Statistical Association Bulletin|access-date=2023-09-06}}</ref>
<ref name=rwe>{{citation | last1 = Sherman | first1 = Rachel E. | last2 = Anderson | first2 = Steven A. | last3 = Pan | first3 = Gerald J. Dal | last4 = Gray | first4 = Gerry W. | last5 = Gross | first5 = Thomas | last6 = Hunter | first6 = Nina L. | last7 = LaVange | first7 = Lisa | last8 = Marinac-Dabic | first8 = Danica | last9 = Marks | first9 = Peter W. | last10 = Robb | first10 = Melissa A. | last11 = Shuren | first11 = Jeffrey | last12 = Temple | first12 = Robert | last13 = Woodcock | first13 = Janet | last14 = Yue | first14 = Lilly Q. | last15 = Califf | first15 = Robert M. | date = December 2016 | doi = 10.1056/nejmsb1609216 | issue = 23 | journal = New England Journal of Medicine | pages = 2293–2297 | title = Real-World Evidence – What Is It and What Can It Tell Us? | volume = 375| pmid = 27959688 }}</ref>
<ref name=tamu>{{citation|page=295|url=https://aa.tamu.edu/AcademicAffairs/media/Media/APR_CollegeOfEngineering/STAT-Self-Study-2022.pdf|title=Academic program review: Department of Statistics at Texas A&M University|year=2022|publisher=Texas A&M University|access-date=2023-09-06}}</ref>
<ref name=xds>{{citation|url=https://www.fda.gov/science-research/about-science-research-fda/excellence-data-science-group-award-2009-present|archive-url=https://web.archive.org/web/20230906223443/https://www.fda.gov/science-research/about-science-research-fda/excellence-data-science-group-award-2009-present|url-status=dead|archive-date=6 September 2023|title=Excellence in Data Science Group Award 2009–Present|publisher=Food and Drug Administration|access-date=2023-09-06}}</ref>
<ref name=wiley>{{citation|url=https://onlinelibrary.wiley.com/pb-assets/assets/15391612/Lilly%20Yue%20Bio-1614869308953.pdf|title=Dr Lilly Yue joins the Editorial Team of Pharmaceutical Statistics in 2021|publisher=Wiley|access-date=2023-09-06}}</ref>
</references>
{{Authority control|state=collapsed}} {{DEFAULTSORT:Yue, Lilly}} Category:Year of birth missing (living people) Category:Living people Category:American statisticians Category:American women statisticians Category:Texas A&M University alumni Category:Fellows of the American Statistical Association