Eric Johnson, MS, completed the University of Washington’s biostatistics master’s program in 2008. His thesis explored common theoretical problems involved with missing data. He quantified them, highlighting conditions leading to suboptimal performance, and provided new guidelines for using various multiple imputation techniques.
During his time at KPWHRI, Mr. Johnson has been involved with multiple projects involving direct intervention with the care-delivery system, observational studies and microsimulation modeling on colorectal and ovarian cancer, massage therapy, and estimating radiation exposure from medical imaging. His current responsibilities lie in research on obesity, opioids, and mental health.
Before earning his master’s degree, Mr. Johnson worked for four years as a research assistant on the Multi-Ethnic Study of Atherosclerosis (MESA), performing statistical analyses, verifying incoming data, and developing a process for providing data sets to all MESA researchers. Later, he was a research statistician with the Department of Veteran Affairs (VA), serving as the primary analyst in an investigation of how well VA hospitals performed non-cardiac surgeries. Mr. Johnson assessed statistical models used by the National Surgical Quality Improvement Program—then devised, tested, and implemented improved models, reporting his findings to VA leadership.
Multiple imputation; prediction models, working with large data
Implementing prediction models, and validating that they work as intended. Research into interventions that are financially feasible for health systems to widely implement
Van Eaton EG, McDonough K, Lober WB, Johnson EA, Pellegrini CA, Horvath KD. Safety of using a computerized rounding and sign-out system to reduce resident duty hours. Acad Med. 2010 Jul;85(7):1189-95. doi: 10.1097/ACM.0b013e3181e0116f. PubMed
Reid RJ, Coleman K, Johnson EA, Fishman PA, Hsu C, Soman MP, Trescott CE, Erikson M, Larson EB. The Group Health medical home at year two: cost savings, higher patient satisfaction, and less burnout for providers. Health Aff (Millwood). 2010;29(5):835-43. PubMed
Coleman K, Reid RJ, Johnson E, Hsu C, Ross TR, Fishman P, Larson E. Implications of reassigning patients for the medical home: a case study. Ann Fam Med. 2010;8(6):493-8. PubMed
Largest study to date helps patients weigh risks and benefits of surgery.
Models that are easier to explain, use could have better uptake in health care settings.
Using doctor's notes to learn about drug reactions, dementia, and cannabis use.
David Arterburn and colleagues find that bariatric surgery is linked to lower death risk in persons with obesity and CKD.