Sebastien Haneuse is among the most methodologically oriented investigators at Group Health Research Institute (GHRI). His broad methods work is motivated by his commitment to statistical rigor and his fascination with devising study designs that are ideal for specific research questions.

Since joining the Institute in 2005, Dr. Haneuse has focused on finding novel ways to collect data while simultaneously developing methods that make analyses as efficient as possible. Drawing on his background in environmental epidemiology, he is exploring new methods for ecological (environmental, behavioral, social, or demographic) studies. He is evaluating and extending on an innovative yet simple hybrid study design that combines ecological (group-level) and individual-level data. The point of this approach is to take advantage of the group-level data's benefits—widespread availability and gains in power—while countering their drawbacks—ecological bias from inability to characterize within-area variability in exposures and confounding variables. His focus is on developing methods to estimate parameters and derive valid confidence intervals.

With GHRI biostatistician, Rod Walker, MS, and colleagues from the University of Washington (UW), Dr. Haneuse is examining post-mortem diagnosis of dementia—for which no protocol has yet been validated. Using neuropathology measures taken at autopsy, the team developed a protocol and described how it works—and how well it works. Key challenges include accounting for selection bias and making the best use of small sample sizes. Preliminary data suggest the protocol performs with high sensitivity and specificity.

Dr. Haneuse is also embarking on an investigation of two-phase studies, an extension of the case-control design that is rarely used in practice. Despite an extensive literature describing how to conduct two-phase studies, most researchers don't embrace this study design. Again working with Walker, his goal is to expand the discussion to illustrate the specific benefits of this more rigorous approach—and to raise awareness of these benefits in the research community.

Dr. Haneuse's applied statistical work includes studies of breast cancer screening and Alzheimer's disease. He serves as a reviewer for many journals and is associate editor of the International Society for Bayesian Analysis Bulletin. A member of the American Statistical Association, the International Biometric Society, and the Society for Epidemiologic Research, he is also an affiliate assistant professor in biostatistics at the UW.

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Recent publications

Cherkin DC, Sherman KJ, Kahn J, Erro JH, Deyo RA, Haneuse SJ, Cook AJ. Effectiveness of focused structural massage and relaxation massage for chronic low back pain: protocol for a randomized controlled trial. Trials. 2009;10(1):96. PubMed

Sonnen JA, Larson EB, Haneuse S, Woltjer R, Li G, Crane PK, Craft S, Montine TJ. Neuropathology in the Adult Changes in Thought Study: a review. J Alzheimers Dis. 2009 Aug 3. [Epub ahead of print]. PubMed

Haneuse S, Larson E, Walker R, Montine T, Sonnen J. Neuropathology-based risk scoring for dementia diagnosis in the elderly. J Alzheimers Dis. 2009 Jun 19. [Epub ahead of print]. PubMed

Koehler E, Brown E, Haneuse S. On the assessment of Monte Carlo error in statistical experiments. Am Stat. 2009; 63(2):155-62.

Breitner JC, Haneuse SJ, Walker R, Dublin S, Crane PK, Gray SL, Larson EB. Risk of dementia and AD with prior exposure to NSAIDs in an elderly community-based cohort. Neurology. 2009 Jun 2;72(22):1899-905. Epub 2009 Apr 22. PubMed

Harris LT, Haneuse SJ, Martin DP, Ralston JD. Diabetes quality of care and outpatient utilization associated with electronic patient-provider messaging: a cross-sectional analysis. Diabetes Care. 2009 Jul;32(7):1182-7. Epub 2009 Apr 14. PubMed

Miglioretti DL, Haneuse SJ, Anderson ML. Statistical approaches for modeling radiologists' interpretive performance. Acad Radiol. 2009;16(2):227-38. PubMed

Haneuse S, Schildcrout J, Crane P, Sonnen J, Breitner J, Larson E. Adjustment for selection bias in observational studies with application to the analysis of autopsy data. Neuroepidemiology. 2009;32(3):229-39. Epub 2009 Jan 29. PubMed

Koehler E, Brown E, Haneuse S. On the assessment of Monte Carlo error in statistical experiments. Am Stat. 2009;63(2):155-62.

Boudreau DM, Koehler E, Rulyak SJ, Haneuse S, Harrison R, Mandelson MT. Cardiovascular medication use and risk for colorectal cancer. Cancer Epidemiol Biomarkers Prev. 2008;17(11):3076-80. Epub 2008 Oct 28. PubMed

Goldman LE, Haneuse SJ, Miglioretti DL, Kerlikowske K, Buist DS, Yankaskas B, Smith-Bindman R. An assessment of the quality of mammography care at facilities treating medically vulnerable populations. Med Care. 2008;46(7):701-8. PubMed

To view more publications, please see Dr. Haneuse's CV.

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