Benjamin Reiser joined the Department of Statistics in 1987 and retired in 2014. He obtained a B.Sc (1967) from McGill University in Honours Mathematics and a Ph.D.(1972) in Statistics from the University of Waterloo. Prior to the University of Haifa he was employed by the Research Branch-Canada Department of Agriculture, the Road and Motor Vehicle Safety Branch- Canada Department of Transport and Rafael, Israel Defense Department. He has previously had a faculty appointment at the Faculty of Industrial Engineering and Management, Technion. Prof. Reiser has also held visiting positions at the Dept. of Statistics, University of Toronto,Toronto; Dept. of Statistics, Temple University, Philadelphia; Dept. of Mathematics and Statistics, York University, Toronto and Dept. of Biostatistics, University of Michigan, Ann Arbor. In addition he has been a Visiting Scientist at the IBM T.J. Watson Research Center, Yorktown Heights, NY. He is currently an Associate Editor of Biometrics (2005-present) and on the Editorial Advisory Board of Statistical Methods in Medical Research(2007-present). His research has been supported by various funding agencies including the Israel Science Foundation (ISF), the Binational US-Israel foundation (BSF) and the National Institutes of Health (NIH).

 Biostatistics, Reliability, Statistical Inference, Data Analysis ,Statistical Modeling.

• Feigin, P. D., & Reiser, B. (1979). On asymptotic ancillarity and inference for Yule and regular nonergodic processes. Biometrika, 66(2), 279-283.
• Bar-Lev, S. K., & Reiser, B. (1982). An exponential subfamily which admits UMPU tests based on a single test statistic. The Annals of Statistics, 979-989.
• Reiser, B., & Guttman, I. (1986). Statistical inference for Pr (Y< X): the normal case. Technometrics 28(3), 253-257.
• Reiser, B., Guttman, I., Lin, D. K., Guess, F. M., & Usher, J. S. (1995). Bayesian inference for masked system lifetime data. Applied Statistics, 79-90.
• Flehinger B. J., Reiser, B., & Yashchin, E. (1998). Survival with competing risks and masked causes of failures. Biometrika 85(1), 151-164.
• Reiser, B., & Shechter, M. (1999). Incorporating zero values in the economic valuation of environmental program benefits. Environmetrics 10(1), 87-101.
• Reiser, B. (2000). Measuring the effectiveness of diagnostic markers in the presence of measurement error through the use of ROC curves. Statistics in medicine 19(16), 2115-2129.
• Schisterman, E. F., Faraggi, D., Reiser, B., & Trevisan, M. (2001). Statistical inference for the area under the receiver operating characteristic curve in the presence of random measurement error. American Journal of Epidemiology 154(2), 174-179.
• Faraggi, D., & Reiser, B. (2002). Estimation of the area under the ROC curve. Statistics in Medicine 21(20), 3093-3106.
• Fluss, R., Faraggi, D., & Reiser, B. (2005). Estimation of the Youden Index and its associated cutoff point. Biometrical Journal 47(4), 458-472.
• Craiu, R. V., & Reiser, B. (2006). Inference for the dependent competing risks model with masked causes of failure. Lifetime data analysis 12(1), 21-33.
• Yao, F., Craiu, R. V., & Reiser, B. (2010). Nonparametric covariate adjustment for receiver operating characteristic curves. Canadian Journal of Statistics 38(1), 27-46.
• Bantis, L. E., Nakas, C. T., & Reiser, B. (2014). Construction of confidence regions in the ROC space after the estimation of the optimal Youden index‐based cut‐off point. Biometrics70(1), 212-223.
• Bantis, L. E., Nakas, C. T., Reiser, B., Myall, D., & Dalrymple-Alford, J. C. (2015). Construction of joint confidence regions for the optimal true class fractions of Receiver Operating Characteristic (ROC) surfaces and manifolds. Statistical methods in medical research.