Eric A. Johnson, MS

“I feel lucky to be working on such important topics as cancer detection and suicide prevention, and I hope to see the fruits of my work in the health of the Kaiser Permanente Washington population and beyond.”

Eric A. Johnson, MS

Biostatistician, Kaiser Permanente Washington Health Research Institute


Biostatistician Eric Johnson, MS, brings a pragmatic yet innovative approach to his work. An expert in multiple imputation, he is pursuing a better understanding of the real-world behavior of statistical  techniques—especially those related to missing data.

Mr. Johnson completed the University of Washington’s biostatistics program in 2008, writing his master’s thesis on common theoretical problems involved with missing data. His work quantified those problems, highlighting conditions leading to suboptimal performance and providing new guidelines for using various multiple imputation techniques.

Before earning his 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.

He then worked as 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.

Since joining Kaiser Permanente Washington Health Research Institute in 2008, Mr. Johnson has contributed to studies of alternative medicine, health services and cancer modeling—working on grant development, analysis, and dissemination of results. He looks forward to investigating issues related to electronic medical record data and study the use of microsimulation models in cancer research.     


Research interests and experience 

Recent publications

Smith-Bindman R, Poder L, Johnson E, Miglioretti DL. Risk of malignant ovarian cancer based on ultrasonography findings in a large unselected population. JAMA Intern Med. 2018 Nov 12. pii: 2714301. doi: 10.1001/jamainternmed.2018.5113. [Epub ahead of print]. PubMed

Hsu C, Hertel E, Johnson E, Cahill C, Lozano P, Ross TR, Ehrlich K, Coleman K, BlueSpruce J, Cheadle A, Matthys J, Chapdelaine M, Gray M, Tufte J, Robbins M. Evaluation of the Learning to Integrate Neighborhoods and Clinical Care project: findings from implementing a new lay role into primary care teams to address social determinants of health. Perm J. 2018; 22:18-101.Published online 2018 Oct 22.doi: 10.7812/TPP/18-101.

Fisher DP, Johnson E, Haneuse S, Arterburn D, Coleman KJ, O'Connor PJ, O'Brien R, Bogart A, Theis MK, Anau J, Schroeder EB, Sidney S. Association between bariatric surgery and macrovascular disease outcomes in patients with type 2 diabetes and severe obesity. JAMA. 2018;320(15):1570-1582. doi: 10.1001/jama.2018.14619. PubMed

O'Brien R, Johnson E, Haneuse S, Coleman KJ, O'Connor PJ, Fisher DP, Sidney S, Bogart A, Theis MK, Anau J, Schroeder EB, Arterburn D. Microvascular outcomes in patients with diabetes after bariatric surgery versus usual care: a matched cohort study. Ann Intern Med. 2018 Aug 7. pii: 2696493. doi: 10.7326/M17-2383. [Epub ahead of print]. PubMed


News Release

Weight-loss surgery linked to fewer diabetes complications

Aug. 6, 2018Large, long-term study finds half as much nerve, kidney, and eye disease after bariatric surgery than with usual care.

Read it in News and Events.

Mental Health

Suicide prevention: Research network finds new way to predict risk

Led by KPWHRI scientists, study aims to target those who need interventions most.

Read it in News and Events