Education

• B.S.  University of Pittsburgh  1992
• Ph.D.  University of Pittsburgh  1997

Background

Positions

• Chair of the Safety and Occupational Health Study Section (2020-2023), Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health
• Appointed Member of the Kidney, Nutrition, Obesity and Diabetes Study Section (2013-2017), Center for Scientific Review, National Institutes of Health
• Statistics in Epidemiology Section Representative, American Statistical Association (2021-2023).
• Director of the Data Coordinating and Image Analysis Center (A. Yu overall PI), Consortium for Radiologic Imaging Studies of Polycystic Kidney Disease (CRISP) IV, National Institute of Diabetes and Digestive and Kidney Diseases R01 (2017-2022)
• Director of the Data Coordinating Center (L. Evans overall PI), Clinical Research Networks to Improve Clinical Management of Hospitalized COVID-19 Patients, CDC Foundation (2021-2022)
• PI, Expanding National Capacity in PCOR through Training (ENACT), Agency for Healthcare Research and Quality R25 (2014-2019)
• PI, Modeling Strategies for Observational CER - What Works Best When? Patient-Centered Outcomes Research Institute Methods Contract (2014-2017)

Scholarly Interest

"Our group and others have developed educational resources for patient-centered outcomes research (PCOR), other causal inference methods, and other general educational resources in statistics, biomarkers, and epidemiology. Some of these efforts, and other training and collaborative activities are also highlighted under the Expanding National Capacity in PCOR through Training & Collaboration Network (ENACT Network) page. In addition, we have lead roles in various coordinator center efforts, including the Consortium for Radiological Imaging Studies in PKD (CRISP) study and other efforts in conjunction with the Society of Critical Care Medicine."

Selected Publications

Articles

Landsittel D, Donohue-Babiak N. (2010). Effect of adding fold-change criteria to significance testing of microarray data. Journal of Simulation and Statistical Computation. 80(1):89-97.

Landsittel D. (2011). Estimating model complexity of feed-forward neural networks. Journal of Modern and Applied Statistical Methods. 8(2):488-504.

Landsittel D, Zhuang Z, Newcomb W, and BerryAnn R. (2014). Determining Sample Size and a Passing Criterion for Respirator Fit Test Panels. J Occup Environ Hyg. 11(2): 77-84.

Landsittel D, Kessler L, Schmid C, Marantz P, Suarez-Almazor M. (2017). Training in Patient-Centered Outcomes Research for Specific Researcher Communities. J Clin Transl Sci. 1(5):278-284.

Landsittel D, Srivastava A, Kropf K. (2020). Methods for Causal Inference and Associated Educational Resources. Quality Management in Health Care. 29(4):260?269.

Cherukuri, A., Salama, A.D., Mehta, R., Mohib, K., Zheng, L., Magee, C., Harber, M., Stauss, H., Baker, R.J., Tevar, A. and Landsittel, D. (2021). Transitional B cell cytokines predict renal allograft outcomes. Science Translational Medicine, 13(582):eabe4929.

Kwee, S.A., Wong, L., Sato, M., Acoba J., Rho, Y.S., Srivastava, A., Landsittel, D. (2021). Transarterial radioembolization for hepatocellular carcinoma with major vascular invasion: A nationwide propensity-score matched analysis with target trial emulation. Journal of Vascular and Interventional Radiology. In Press.