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Andriy I. Bandos, PhD

Assistant Professor, Biostatistics

Assistant Professor, Radiology


7123 Public Health, 130 DeSoto Street, Pittsburgh, PA 15261
R-znvy: nao16@cvgg.rqh
Primary Phone: 967-838-0283
Fax: 967-179-5639

Personal Statement

Dr. Andriy Bandos’s primary research interest is the design and analysis of diagnostic accuracy studies. Major focus of his collaborative work has been in design and analysis of multi-reader retrospective as well as prospective studies of diagnostic technologies for medical imaging. His current methodological research includes statistical evaluation of diagnostic performance, ROC analysis, design and analysis of multi-reader (MRMC) studies, free-response ROC (FROC) methodology, nonparametric methods and resampling approaches in statistics. Most of methodological developments stemmed from the collaborative work and aimed to address questions frequently arising in practice. 


2005 | University of Pittsburgh, Pittsburgh, PA| Ph.D. Biostatistics

2000 | V.N. Karazin Kharkiv National University, Ukraine | MS (Specialist) Mathematics 


BIOST 2043 (Introduction to Statistical Theory I)

BIOST 2044 (Introduction to Statistical Theory II)

BIOST 2056 (Introduction to Diagnostic Test Evaluation and ROC Analysis)

Selected Publications

Bandos, A.I., Obuchowski, N.A. (2018). Evaluation of Diagnostic Accuracy in Free-Response Detection-Localization Tasks Using ROC tools. Statistical Methods in Medical Research. In Press.

Ma, H., Bandos, A.I., Gur, D. (2018). Informativeness of Diagnostic Marker Values and the Impact of Data Grouping. Computational Statistics and Data Analysis. 117: 76-89.

Oligane, H.C., Berg, W.A., Bandos, A.I., Chen, S.S., Sohrabi, S., Anello ,M., Zuley, M.L. (2018). Grouped Amorphous Calcifications on Mammography: Frequently Atypical but Rarely Associated with Aggressive Malignancy. Radiology. In Press.

Skaane, P., Sebuodegard, S., Bandos, A.I., Gur, D., Osteras, B.H., Gullien, R., Hofvind, S. (2018). Performance of Breast Cancer Screening Using Digital Breast Tomosynthesis: Results from the Prospective Population-Based Oslo Tomosynthesis Screening Trial.  Breast Cancer Research and Treatment. In Press.

Bandos, A.I., Guo, B., Gur, D. (2017). Jackknife variance of the partial area under the empirical receiver operating characteristic curve. Statistical Methods in Medical Research, 26(2):528-541.

Berg, W. A., Bandos, A.I., Mendelson, E.B., Lehrer, D., Jong, R.A., Pisano, E.D. (2016) Ultrasound as the primary screening test for breast cancer: analysis from ACRIN 6666. Journal of the National Cancer Institute 108(4): 1-8

Callahan, M. J., Kleinman, P. L., Strauss, K. J., Bandos, A.I., Taylor, G. A., Tsai, A., & Kleinman, P. K. (2015). Pediatric CT dose reduction for suspected appendicitis: a practice quality improvement project using artificial Gaussian noise--part 1, computer simulations. American Journal of Roentgenology, 204(1), 86-94

Ma, H., Bandos, A. I.,Gur, D. (2015). On the use of partial area under the ROC curve for comparison of two diagnostic tests. Biometrical Journal. 57(2), 304-20

Aggarwal, R., Bandos, A.I., Reed, A.M., Ascherman, D.P., Barohn, R.J., Feldman, B.M., Miller, F.W., Rider, L.G., Harris-Love, M.O., Levesque, M.C.; the RIM Study Group, Oddis, C.V. (2014). Predictors of clinical improvement in rituximab-treated refractory adult and juvenile dermatomyositis and adult polymyositis. Arthritis and Rheumatism 66: 740-749

Bandos, A.I., Rockette, H.E., Gur, D. (2013). Subject-centered free-response ROC (FROC) analysis. Medical Physics  40 (5):051706

Skaane, P., Bandos, A.I., Gullien, R., Eben, E.B., Ekseth, U., Haakenaasen, U., Izadi, M., Jebsen, I.N., Jahr, G., Krager, M., Hofvind, S. (2013). Prospective trial comparing full-field digital mammography (FFDM) versus combined FFDM and tomosynthesis in a population-based screening programme using independent double reading with arbitration. European Radiology. 23(8):2061-2071

Ma, H., Bandos, A.I., Rockette, H.E., Gur, D. (2013). On use of partial area under the ROC curve for evaluation of diagnostic performance. Statistics in Medicine 32(20): 3449-3458

Zuley, M.L., Bandos A.I., Ganott, M.A., Sumkin, J.H., Kelly, A.E., Catullo, V.J., Rathfon, G.Y., Lu, A.H., Gur, D. (2013). Digital breast tomosynthesis versus supplemental diagnostic mammographic views for evaluation of noncalcified breast lesions. Radiology 266 (1):89-95

Bandos, A.I., Rockette, H., Gur, D. (2010). Use of Likelihood Ratios for Comparison of Binary Diagnostic Tests: Underlying ROC Curves. Medical Physics 37 (11): 5821-5830

Gur, D., Abrams, G.S., Chough, D.M., Ganott, M.A., Hakim, C.M., Perrin, R.L., Rathfon, G.Y., Sumkin, J.H., Zuley, M.L., Bandos, A.I. (2009). Digital Breast Tomosynthesis- An Observer Performance Study. American Journal of Roentgenology 193(2): 586-59

Gallas, B., Bandos, A.I., Samuelson, F., Wagner, R. (2009). A framework for random-effects ROC analysis: biases with the bootstrap and other variance estimators. Communications in Statistics, Theory and Methods 38(15): 2586-2603

Bandos, A.I., Rockette, H.E., Song, T., Gur, D. (2009). Area under the free-response ROC curve (FROC) and a related summary index. Biometrics 65:247-256

Gur D, Bandos AI, Rockette HE.(2008) Comparing areas under receiver operating characteristic curves: potential impact of the “Last” experimentally measured operating point. Radiology 247 (1):12-5

Bandos, A.I., Rockette H.E., Gur D. (2007). Exact bootstrap variances of the area under the ROC curve. Communications in Statistics – Theory & Methods 36(13): 2443 – 2461

Bandos, A.I., Rockette, H.E., Gur, D. (2005). A permutation test sensitive to differences in areas for comparing ROC curves from a paired design. Statistics in Medicine 24(18): 2873-2893

Andriy I. Bandos
© 2019 by University of Pittsburgh Graduate School of Public Health

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