• Phone: 617-353-2676
  • E-Mail:  pekoz@bu.edu
  • Website: http://people.bu.edu/pekoz/
  • Office: 607
    • Office Hours: By Appointment
  • Address: Boston University School of Management
    595 Commonwealth Avenue
    Boston, MA 02215
  • Education Open or Close

    Ph D, University of California Berkeley, Industrial Engineering and Operations Research, 1995.

    MS, University of California Berkeley, Industrial Engineering and Operations Research, 1989.

    BS, Cornell University, Operations Research, 1987.

  • PublicationsOpen or Close

    Journal Articles:

      Pekoz, E., Rollin, A., Ross, N., (2013). Degree asymptotics with rates for preferential attachment random graphs.. Annals of Applied Probability,

      Sullivan, J. L., Shwartz, M., Burgess, J. F., Pekoz, E. A., Christiansen, C. L., Gerena-Melia, M., Berlowitz, D., (2013). Person Centered Care Practices and Quality in Department of Veterans Affairs Nursing Homes: Is There a Relationship?. Medical Care, 51(2), 165-171.

      Shwartz, M., Pekoz, E., Burgess, J., Christiansen, C., (2013). Shrinkage estimators for composite measure of quality conceptualized as a formative construct. Health Services Research, 48(1), 271-289.

      Pekoz, E., Röllin, A., (2011). New rates for exponential approximation and the theorems of Renyi and Yaglom. Annals of Probability, 39(2), 587-608.

      Pekoz, E., Shwartz, M., Christiansen, C., Berlowitz, D., (2010). Approximate Models for Aggregate Data When Individual-Level Data Sets Are Very Large or Unavailable. Statistics in Medicine, 29(32), 2180-2193.

      Stolzmann, K., Meterko, M., Shwartz, M., Young, G., Pekoz, E., Benzer, J., Osatuke, K., White, B., Mohr, D., (2010). Accounting for Variation in Technical Quality and Patient Satisfaction: The Contribution of Patient, Provider, Team and Medical Center. Medical Care, 48(8), 676-682.

      Shwartz, M., Ren, Z., Pekoz, E., Wang, X., Cohen, A., Restuccia, J., (2008). Estimating A Composite Measure of Hospital Quality From the Hospital Compare Database: Differences When Using a Bayesian Hierarchical Latent Variable Model Versus Denominator-Based Weights. Medical Care, 46(8), 778-785.

  • Web LinksOpen or Close