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Yates Coley, PhD

TitleAssistant Investigator
InstitutionKaiser Permanente Washington
DepartmentKaiser Permanente Washington Health Research Institute
Address1730 Minor Ave
Seattle WA 98101
ORCID ORCID Icon0000-0003-1708-4880 Additional info
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    Yates Coley, PhD, is a biostatistician whose research promotes precision medicine and learning health systems as a way to improve value and quality in health care delivery. Her statistical research focuses on methods for predicting latent health states, understanding variability in risk, and accounting for missing data. She also has particular interest in data visualization and designing decision support tools to support shared clinical decision-making.

    Before starting as an assistant investigator at KPWHRI in 2016, Dr. Coley was a post-doctoral research fellow at Johns Hopkins Bloomberg School of Public Health where she worked with Dr. Scott Zeger. She is a co-investigator on a Patient-Centered Outcomes Research Institute (PCORI) methodology grant: “Bayesian hierarchical methods for the design and analysis of studies to individualize health care” (PI: Zeger). This research promises to establish a solid statistical framework for more intelligent, individualized health care provision.

    While at Johns Hopkins, Dr. Coley also worked with urologists to develop a prediction model that enables personalized management of low-risk prostate cancer. She has designed an interactive decision support tool that calculates and communicates patients’ predictions in real-time and is currently building the statistical structure necessary to support a continuously learning model. The resulting prediction tool will be integrated into the clinical workflow in such a way that new observations will be automatically incorporated into the existing model, improving both patient-level predictions as well as researchers’ understanding of risk in the population.

    Dr. Coley completed her PhD in biostatistics at the University of Washington. Her dissertation research proposed methods to improve effectiveness estimates in HIV prevention trials by accounting for unobserved variability in risk.

    At KPWHRI, Dr. Coley collaborates on projects across a range of research areas including breast cancer imaging, bariatric surgery, and antipsychotic medications.

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    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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    PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
    1. Coley RY, Fisher AJ, Mamawala M, Carter HB, Pienta KJ, Zeger SL. A Bayesian hierarchical model for prediction of latent health states from multiple data sources with application to active surveillance of prostate cancer. Biometrics. 2017 06; 73(2):625-634. PMID: 27548645.
    2. Coley RY, Zeger SL, Mamawala M, Pienta KJ, Carter HB. Prediction of the Pathologic Gleason Score to Inform a Personalized Management Program for Prostate Cancer. Eur Urol. 2017 07; 72(1):135-141. PMID: 27523594.
    3. Coley RY, Brown ER. Estimating effectiveness in HIV prevention trials with a Bayesian hierarchical compound Poisson frailty model. Stat Med. 2016 07 10; 35(15):2609-34. PMID: 26869051.
    4. Murnane PM, Coley RY, Baeten JM. Murnane, Coley, and Baeten respond to "every good randomization deserves observation". Am J Epidemiol. 2015 Nov 15; 182(10):861-2. PMID: 26487341.
    5. Murnane PM, Brown ER, Donnell D, Coley RY, Mugo N, Mujugira A, Celum C, Baeten JM. Estimating efficacy in a randomized trial with product nonadherence: application of multiple methods to a trial of preexposure prophylaxis for HIV prevention. Am J Epidemiol. 2015 Nov 15; 182(10):848-56. PMID: 26487343.
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