David Afshartous
David Afshartous
Research Faculty
Division of Clinical Pharmacology
Miller School of Medicine
University of Miami
1500 12th Avenue, 15th Floor West
Miami, FL 33136
tel: (305) 243-1549, fax: (305) 243-9124
e-mail: afshar@miami.edu
Curriculum Vitae
Education
• Ph.D in Mathematics (Statistics), 1997, University of California, Los Angeles
• M.S in Political Science, 1990, M.I.T.
• B.S in Mathematics, 1989, M.I.T.
Employment
• 2007-present, University of Miami, School of Medicine, Division of Clinical Pharmacology; research faculty
• 2002-2007, University of Miami, School of Business, Department of Management Science; assistant professor
• 2000-2002, Lucent Technologies, London, U.K.; UMTS systems engineer, 3GPP standards delegate
• 1997-2000, Lucent Technologies, Naperville, IL; 5ESS systems engineer
• 1994-1997, U.C.L.A. Mathematics Depts., teaching assistant, research assistant
• 1991-1993, U.C.L.A. Political Science Dept., teaching assistant
• 1990-1991, New York City Public School System, high school mathematics teacher
Research Interests
• Prediction in Multilevel Models
• Mixed effects models
• Multiple testing
• Growth curves
• Protocol performance for high speed wireless data
• Spatial Statistics
Courses
• MAS 201/202 - undergrad Intro to Business Statistics, I and II
• MAS 612 - MBA Business Statistics, II
• MAS 637 - MBA, Regression and Forecasting
• MAS 631 - MBA, Business Statistics and Decision Making
Papers
1. Preston, R.A., Afshartous, D., Garg, D., Medrano S., Alonso A, Rodriguez, R. (2009). ``Mechanisms of impaired potassium handling with dual renin-angiotensin-aldosterone blockade in chronic kidney disease,'' Hypertension, 53: 754-760
2. Preston, R.A., Afshartous, D., Alonso, A.B. (2008). ``Effects of Selective versus Nonselective Cyclooxygenase Inhibition on Dynamic Renal Potassium Excretion: A Randomized Trial,'' Clinical Pharmacology and Therapeutics, 84(2): 208-211.
3. Afshartous, D., Preston, R.A. (2008). ``A Recursive estimation method for predicting residual bladder urine volumes to improve accuracy of timed urine collections,'' Statistical Methods for Medical Research, 18(2): 119-130.
4. Afshartous, D., Preston, R.A. (2008). ``U.S. Coast Guard air station location with respect to distress calls: A spatial statistics and optimization based methodology,'' European Journal of Operational Research, 196(3): 1086-1096.
5. Afshartous, D., Wolf, M. (2007). `` Avoiding Data Snooping in Multilevel and Mixed Effects Models,'' Journal of the Royal Statistical Society - Series A, 170: 1035-1059.
6. Afshartous, D., Michailidis, G. (2007). `` Distribued Multilevel Modeling,'' Journal of Computational and Graphical Statistics, 16: 901-924.
7. Guan, Y., Afshartous, D. (2007). ``Test for independence between marks and points marked point processes,'' Environmental and Ecological Statistics, 14: 101-111
8. Afshartous, D., e Leeuw, J. (2005). ``Prediction in Multilevel Models,'' Journal of Educational and Behavorial Statistics, vol 30, no. 2, 109-139.
9. Afshartous, D., de Leeuw, J. (2005). ``A Predictive Density Approach to Predicting a Future Observable in Multilevel Models,'' Journal of Statistical Planning and Inference, vol 128, 149-164.
10. Afshartous, D., de Leeuw, J. (2005). ``Decomposition of Prediction Error in Multilevel Models,'' Communications in Statistics - Simulation and Computation, vol 34, no. 4, 909-928.
11. Afshartous, D., de Leeuw, J. (2004). ``An Application of Multilevel Model Prediction to NELS:88,'' Behaviormetrika, vol 31, no. 1, 43-66.
12. Hu, T., Afshartous, D., and Young, G. (2004). ``Parallel Stop and Wait ARQ in UMTS - Peformance and Modeling,'' Proceedings of the 2004 World Wireless Congress 2004, San Francisco, CA, May 2004.
13. Afshartous, D., Guan, Y., Mehrotra, A., and Magnussen, J. (2004). ``Optimal Deployment of Resources for the U.S. Coast Guard,'' Proceedings of the 10th International Conference on Producitivty and Quality Research, Miami, FL, Feb 2004.
14. Afshartous, D. (1995). ``Determination of Sample Size for Multilevel Model Design,'' Perspectives on Statistics for Educational Research: Proceedings of the National Institute for Statistical Sciences (NISS), Technical Report #35, edited by V.S. Williams, L.V. Jones, and Ingram Olkin.
R Code
1. R Code for functions in paper Avoiding Data Snooping, co-authored with Michael Wolf
