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Qing Yang, PhD

Assistant Professor
(919) 613-9768
4135 Pearson Building

Dr. Qing Yang joined DUSON in July, 2014. She received her BS in Mathematics from Beijing Institute Technology in China, MS and PhD in Biostatistics from University of California, Los Angeles. Dr. Yang’s statistical research expertise are on longitudinal data analysis and survival analysis. She recently becomes interested in dynamic treatment regime, SMART design, Mobile health data and EHR data analysis. As a biostatistician, she has extensive experience collaborating with researchers in different therapeutic areas, including smoking cessation, mental health, diabetes, cardiovascular disease, breast cancer and etc.

Academic Program Affiliations

  • Doctor of Nursing Practice Program
  • PhD in Nursing Program


  • PhD - University of California, Los Angeles
  • MS (Biostatistics) - University of California, Los Angeles
  • MS (Statistics) - Beijing Institute of Technology
  • BS (Math.) - Beijing Institute of Technology

Research Interests

Areas of research interest:
• Survival Analysis (Competing Risk Data)
• Clinical Trial Design and Analysis
• Longitudinal Data Analysis
• Factor Analysis
• Multivariate Linear Mixed Model
• Survey Data Analysis

Awards and Honors

  • 2010 || Celia and Joseph Blann Fellowship, University of California, Los Angeles

Areas of Expertise

  • Research Methods

Representative Publications

  • 2015 -- PubMed # : 25419942 Fongwa, M. N. and Nandy, K. and Yang, Q. and Hays, R. D. The Facilitators of and Barriers to Adherence to Hypertension Treatment Scale. J Cardiovasc Nurs. Nov-Dec, 2015 30(6); 484-90
  • 2015 -- Li, G. and Yang, Q. Joint inference for competing risks survival data Journal of the American Statistical Association. October 21, 2015, online ahead of print
  • 2014 -- PubMed # : 24399560 Sarna, L. and Bialous, S. A. and Nandy, K. and Antonio, A. L. and Yang, Q. Changes in smoking prevalences among health care professionals from 2003 to 2010-2011. JAMA. January, 2014 311(2); 197-9
  • 2013 -- PubMed # : 23640746 An, X. and Yang, Q. and Bentler, P. M. A latent factor linear mixed model for high-dimensional longitudinal data analysis. Stat Med. May 2013 32(35); 4229-4239 PMC3788857
  • 2012 -- Sarna, L. and Bialous, S. A. and Nandy, K.. and Yang, Q. and Wewers, M. E.. Are quit attempts among U.S. female nurses who smoke different from female smokers in the general population? An analysis of the 2006/2007 tobacco use supplement to the current population survey. BMC Women s Health. March, 2012 12(4);
  • 2011 -- PubMed # : 21619859 Heilemann, M. V. and Pieters, H. C. and Kehoe, P. and Yang, Q. Schema therapy, motivational interviewing, and collaborative-mapping as treatment for depression among low income, second generation Latinas. J Behav Ther Exp Psychiatry. December, 2011 42(4); 473-80 PMC3152613
  • 2010 -- PubMed # : 20937670 Sarna, L. and Bialous, S. A. and Sinha, K. and Yang, Q. and Wewers, M. E. Are health care providers still smoking? Data from the 2003 and 2006/2007 Tobacco Use Supplement-Current Population Surveys. Nicotine Tob Res. November, 2010 12(11); 1167-71
  • 2008 -- PubMed # : 18584502 Liu, J. M. and Yang, Q. and Pirrallo, R. G. and Klein, J. P. and Aufderheide, T. P. Hospital variability of out-of-hospital cardiac arrest survival. Prehosp Emerg Care. October, 2008 12(3); 339-46

Grant Funding (Selected)

  • Cognitive Status Changes Among Stroke Patients Receiving Acute Rehabilitation

    P30 NR014139-01
    09/2015 to 08/2017
    Role: Statistician

    Project Goals: To explore the trajectory of cognitive status among acute stroke patients, the association of patient sociodemographic and clinical characteristics, the mediating effects of stroke sequelae, and the independent predictors of length of stay. Project is part of Adaptive Leadership for Cognitive/Affective Symptom Science (ADAPT Center).

  • Temperature Monitoring with InnerSense Esophageal Temperature Probe

    Philips Electronics North America Corp
    09/2014 to 08/2016
    Role: Statistician

    Project Goal: This randomized clinical trial will evaluate the use of an esophageal feeding tube with a thermistor embedded in the tube to monitor continuous central temperature in 160 VLBW infants in the delivery room and through stabilization in the NICU, until 24 hours of age. Infants with continuous temperature monitoring are expected to experience higher axillary temperatures and less hypothermia than infants receiving standard temperature monitoring upon admission to the NICU, at 1,4, and 8 hours of age. A comparison will be made between continuous abdominal temperature by thermistor and continuous esophageal temperature in the treatment group infants. This device should improve thermal care for VLBW infant from birth through 1 day of age.

  • Genetic Risk Testing & Health Coaching for T2D and CHD

    Air Force Office of Scientific Research
    01/2013 to 01/2016
    Role: Statistician

    Project Goal: Determine whether incorporating genetic risk information into standard CHD and T2D risk counseling or a nurse health coaching intervention (or both) will be associated with positive changes in health behaviors or metabolic outcomes in active duty military personnel at risk for CHD and/or T2D.

Wednesday, April 25, 2018

Victoria Goode, Hyeoneui Kim, AnnMarie Walton and Qing Yang recently completed the Duke University School of Medicine LEADERS program. The three day workshop is designed for junior faculty who are leading a research group.

Tuesday, January 30, 2018

The Center for Nursing Research recently announced its small grant awardees: 

Wednesday, January 24, 2018

AnnMarie Walton, Hyeoneui Kim and Qing Yang were recently selected to participate in the 2018 Duke course of Leadership Development for Researchers (LEADER). They will be among 40 outstanding scientists from fields in 13 different School of Medicine departments, the School of Nursing, the Pratt School of Engineering and Duke-NUS in Singapore.

Wednesday, January 3, 2018

Qing Yang recently published an article entitled "Sample size determination for jointly testing a cause-specific hazard and the all-cause hazard in the presence of competing risks" in Statistics in Medicine. Co-authors include experts from University of California, Los Angeles and Hong Kong University.


Thursday, April 6, 2017

PhD student Kaboni Gondwe, Qing Yang and Diane Holditch-Davis recently published an article entitled "Maternal Psychological Distress and Mother-Infant Relationship: Multiple-Birth Versus Singleton Preterm Infants" in the Neonatal Network. Other co-authors included Rosemary White-Traut.

Friday, March 31, 2017

The Center for Nursing Research would like to announce these appointments in the research leadership structure starting July 1, 2017.

Wednesday, July 27, 2016

The National Institute of Nursing Research, part of the National Institutes of Health, recently awarded Ryan Shaw, PhD, RN, assistant professor for Duke University School of Nursing (DUSON), almost $480,000 for his study titled “From Episodic to Real-Time Care in Diabetes Self-Management.” The study will run for a three-year period.

Tuesday, June 21, 2016

Wei Pan and Qing Yang recently presented at a workshop at the 2016 International Chinese Statistical Association Applied Statistics Symposium in Atlanta, Georgia. The symposium is one of the biggest international statistical conferences and attracts more than 700 statisticians from all over the world every year.

Pan presented on "Propensity Scores and Causal Inference" and it was based on his book entitled "Propensity Score Analysis: Fundamentals and Developments."

Thursday, April 21, 2016

A mix of anxiousness, nervousness and excitement filled room 1103 at Duke University School of Nursing (DUSON) last week as five contestants stood before a panel of shark investors to present their projects that could enhance the quality of life for patients and bring pioneering methods to clinical practice, education and research.

Tuesday, December 9, 2014

Qing Yang published an article entitled "The facilitators of and barriers to adherence to hypertension treatment scale" in the Journal of Cardiovascular Nursing.