Andriy I Bandos

PhD
  • Associate Professor, Director of MS Program
  • Faculty in Biostatistics and Radiology

Stop Russia’s invasion of Ukraine!

Stop the killings and destruction!

God bless Ukraine.

 

Education

2005 | University of Pittsburgh, Pittsburgh, PA| Ph.D. Biostatistics
2000 | V.N. Karazin Kharkiv National University, Ukraine | MS (Specialist) Mathematics

Teaching

BIOST 2043 Introduction to Statistical Theory I
BIOST 2044 Introduction to Statistical Theory II

BIOST 2056 Statistical Evaluation of Biomarkers and Classification Tools
BIOST 2037 Foundations of Statistical Theory

Research Interests

Dr. Andriy Bandos’s primary research interests include the statistical evaluation of classification and prediction performance, biomarker development and evaluation, diagnostic imaging, observer-performance studies, methodology for assessment of detection-localization accuracy. A major focus of his collaborative work has been in the design and analysis of retrospective and prospective studies of diagnostic technologies for medical imaging. His methodological research contributed to the fields of statistical evaluation of detection and classification performance, ROC analysis, design and analysis of multi-reader (MRMC) studies, free-response ROC (FROC) methodology, nonparametric methods, and resampling approaches in statistics. The methodological developments stemmed from the collaborative work and aimed to address questions frequently arising in practice.

Selected Publications

Berg WA, Berg JM, Bandos AI, Vargo A, Chough DM, Lu AH, Ganott MA, Kelly AE, Nair BE, Hartman JY, Waheed U. (2024) Addition of Contrast-enhanced Mammography to Tomosynthesis for Breast Cancer Detection in Women with a Personal History of Breast Cancer: Prospective TOCEM Trial Interim Analysis. Radiology; 311(1):e231991

Berg WA, Bandos AI, Sava GM. (2023) Analytic Hierarchy Process Analysis of Patient Preferences for Contrast-Enhanced Mammography (CEM) versus MRI as Supplemental Screening Options for Breast Cancer. Journal of the American College of Radiology, 20(8): 758-68.

Skaane P, Bandos AI, Niklason LT, Sebuødegård S, Østerås BH, Gullien R, Gur D, Hofvind S. (2019) Digital Mammography versus Digital Mammography Plus Tomosynthesis in Breast Cancer Screening: the Olso Tomosynthesis Screening Trial. Radiology. 291(1): 23-30.

Bandos, A.I., Obuchowski, N.A. (2019). 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.

BandosA.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

Bandos AI, Guo B, Gur D. (2017).Estimating the Area Under ROC Curve when the Fitted Binormal Curves Demonstrate Improper Shape.Academic Radiology. 24(2): 209-19.

Berg, W. A., BandosA.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

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

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

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., BandosA.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

Zou KH, Liu A, Bandos AI, Ohno-Machado L, Rockette HE. (2011).Statistical Evaluation of Diagnostic Performance: Topics in ROC Analysis. (1st ed.). CRC press, Taylor & Francis Group. (Chapters 2,7,8)

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

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

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., 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

Department/Affiliation