Eric Chow, M.S.
Biostatistician

Eric joined the QSU in May 2017.  He completed his MSc in Decision Sciences from the London School of Economics, and another MS in Health Informatics from the Johns Hopkins School of Medicine.  At Hopkins, Eric worked with the Epidemiology Research Group in Organ Transplantation for 5+ years on developing web-based patient-centered decision tools, optimal geographic organ allocation for liver and kidney disease, and clinical outcomes following kidney-paired-donation transplantation using big registry data. Eric is an avid alpinist and rock climber and likes to program in Stata, R, and C (or PhP).

 

 

 

Methodology Area of Interest:  Markov modeling, stochastic simulation, survival analyses (including non-parametric), multilevel modeling, multiple imputation for missing data, tree-regression.  Eric is also interested in techniques for image analysis like neural nets.

Clinical Area of Interest: Eric is interested in neurovascular diseases. Areas of experience include chronic kidney disease, end-stage renal and liver disease, and solid-organ transplantation.

Selected publications:

Chow E, Massie A, Luo X, et al. Waitlist outcomes of liver transplant candidates who were reprioritized under Share 35. Am J of Transplant. 2017; 17(2): 512-518.

Grams M, Sang Y, Levey A, Matsushita K, Balley S, Chang A, Chow E, et al. Kidney-Failure Risk Projection for the Living Kidney-Donor Candidate. NEJM. 2016; 374(5):411-21.

Massie AB, Leanza J, Fahmy L, Chow E, et al. A risk index for living donor kidney transplantation. Am J of Transplant. 2016; 16(7): 2077-2084.

Gentry S, Chow E, Massie A, Segev D. Gerrymandering for justice: Redistricting U.S. liver allocation. Interfaces 2015; 45(5):462-480.

Chow E, Van Arendonk K, James N, et al. Choosing the order of deceased donor and living donor kidney transplantation in pediatric recipients: A Markov decision process model. Transplantation. 2015; 99(2):360-366.

Chow E, Massie A, Muzaale A, et al. Identifying appropriate recipients for CDC infectious risk donor kidneys. Am J of Transplant. 2013; 13(5):1227-1234.