Mr. McCullough joined Arbor Research in 1998. He uses statistical models and computer simulations to describe interrelationships between patient characteristics, policy, patterns of care, and outcomes. He also investigates methodology issues, including informative censoring, missing data imputation, and measures of model predictive power. Mr. McCullough supported the Kidney and Thoracic Committees of the Organ Procurement and Transplantation Network with statistical and simulation analyses that informed policy decisions. He has 29 peer-reviewed publications on dialysis patient and transplant recipient survival, hospitalization, and quality of life. At Arbor Research he contributes to the study design and/or analyses for the Dialysis Outcomes and Practice Patterns Study (DOPPS), and the Cure Glomerulonephropathy Network (CureGN) project with having previously worked with the Scientific Registry of Transplant Recipients (SRTR), the Managed Care Demonstration (MCDemo), and the United States Renal Data System (USRDS). Mr. McCullough received an MS in Biostatistics from the University of Michigan.