Weiwei Zhu, MS

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“I have a longstanding interest in using biostatistics to advance medical research. Working at KPWHRI gives me a great opportunity to contribute to challenging projects with rich, relevant data and make a national impact on health care systems.”

Weiwei Zhu, MS

Biostatistician III, Kaiser Permanente Washington Health Research Institute

Weiwei.Zhu@kp.org
206-442-5215

Biography

Weiwei Zhu, MS, joined Kaiser Permanente Washington Health Research Institute's Biostatistics Unit in 2009. She works closely with Senior Investigator Diana Miglioretti, PhD, to design studies, manage data, and conduct statistical analyses for the Breast Cancer Surveillance Consortium (BCSC)—the National Cancer Institute’s seven-site network of mammography researchers. She has been a key member of the BCSC Statistical Coordinating Center for almost 10 years. Her work studying the breast screening benefits and risks played an essential role in an American Cancer Society screening guideline change in 2015.

Ms. Zhu also works with Senior Investigator Denise Boudreau, PhD, to quantify the serious risks of misuse, abuse, and addiction associated with long-term opioid use.  This multi-site study will use electronic health record data and survey interviews to provide estimates of long-term opioid use risks in two cohorts.

After beginning her medical research career as an intern at the University of Texas MD Anderson Cancer Center in 2007, Ms. Zhu served as a biostatistician at the Moffitt Cancer Center and Research Institute in Florida.

Research interests and experience

 

Recent publications

Fenton JJ, Zhu W, Balch S, Smith-Bindman R, Fishman P, Hubbard RA. Distinguishing screening from diagnostic mammograms using Medicare claims data. Med Care. 2014 Jul;52(7):e44-51. doi: 10.1097/MLR.0b013e318269e0f5. Epub 2012 Aug 23. PubMed

Hubbard RA, Zhu W, Balch S, Onega T, Fenton JJ. Identification of abnormal screening mammogram interpretation using Medicare claims data. Health Serv Res. 2015 Feb;50(1):290-304. doi: 10.1111/1475-6773.12194. Epub 2014 Jun 28. PubMed

O'Meara ES, Zhu W, Hubbard RA, Braithwaite D, Kerlikowske K, Dittus KL, Geller B, Wernli KJ, Miglioretti DL. Mammographic screening interval in relation to tumor characteristics and false-positive risk by race/ethnicity and age. Cancer. 2013 Nov 15;119(22):3959-67. doi: 10.1002/cncr.28310. Epub 2013 Aug 26. PubMed

Dittus K, Geller B, Weaver DL, Kerlikowske K, Zhu W, Hubbard R, Braithwaite D, O'Meara ES, Miglioretti DL. Impact of mammography screening interval on breast cancer diagnosis by menopausal status and BMI. J Gen Intern Med. 2013 Nov;28(11):1454-62. doi:10.1007/s11606-013-2507-0. Epub 2013 Jun 13. PubMed

Fenton JJ, Onega T, Zhu W, Balch S, Smith-Bindman R, Henderson L, Sprague BL, Kerlikowske K, Hubbard RA. Validation of a Medicare claims-based algorithm for identifying breast cancers detected at screening mammography. Med Care. 2013 Aug 6. doi: 10.1097/MLR.0b013e3182a303d7. [Epub ahead of print]. PubMed

 

Cancer screening

Breast density scans

Breast density is a risk factor for older women, too

Findings in JAMA Network Open could help guide decision-making about breast cancer screening for women 75 and older.

Research

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Phone therapy for insomnia shown to improve sleep

A study among KP members with sleep problems and osteoarthritis shows promise for overcoming obstacles to treatment.

News

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Race, income, education affect access to 3D mammography

The technology’s potential benefits to detect breast cancer earlier are not equally shared among all women, researchers find.