Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
CURRICULUM VITAE JEFFREY S. BUZAS Department of Mathematics and Statistics The University of Vermont 16 Colchester Avenue Burlington, VT 05401-1455 (802) 656-2971 Education Ph.D. Statistics, North Carolina State University, May 1993. M.S. Statistics, University of North Carolina at Chapel Hill, May 1987. B.S. Mathematics, University of Maryland, May 1985. Professional Experience Fall 2014- Present mont. Chair, Department of Mathematics and Statistics, University of Ver- Fall 2013- Present Professor of Statistics, University of Vermont. Fall 2011 - Present Director for Statistics/Biostatistics, University of Vermont. 2003- Present Senior Statistician, Vermont Oxford Network, Burlington, Vermont. Fall 2009- Fall 2011 Interim Director for Statistics/Biostatistics, University of Vermont. Fall 2006- Summer 2007 Extended Student, Esalen Institute, Big Sur, California. 2005- 2008 Statistician, Lansky Consulting LLC, Burlington, Vermont. Fall 2004 Acting Director for Statistics/Biostatistics, University of Vermont. 1999-2013 Associate Professor of Statistics, University of Vermont. 1993-1999 Assistant Professor of Statistics, University of Vermont. 1989-1993 Teaching Assistant, North Carolina State University. Summer 1991 Intern at Glaxo Inc. Duties included consulting with chemists in the design and analysis of pre-clinical experiments. 1989-1990 Consultant, Research Triangle Institute. Analyzed data from clinical trials in AIDS research. 1987-1989 Statistician II, Research Triangle Institute. Responsible for the design, monitoring, and analysis of phase I, II, and III clinical trials in AIDS research. 1986-1987 Teaching Assistant, University of North Carolina. Publications (Refereed Journal Articles and Book Chapters) Mildvan D., Buzas J. S. et. al. (1991), “An open label dose ranging trial of AL721 in patients with PGL or ARC,” Journal of Acquired Immune Deficiency Syndromes, 4, 945-51. Stefanski L. A. and Buzas J. S. (1995), “Instrumental variable estimation in binary measurement error models,” Journal of the American Statistical Association , 90, 541-550. Dywer, G. S., Cronin, T. M., Baker, P. A., Raymo, M. E., Buzas, J. S., and Correge, T. (1995), “North Atlantic Deep-Water Temperature Change During Late Pliocene and Late Quaternary Climatic Cycles: New Insight From Ostracode Shell Chemistry,” Science, 270, 1347-1351. Buzas J. S. and Stefanski L. A. (1996), “Instrumental variable estimation in probit measurement error models,” Journal of Statistical Planning and Inference, Vol. 55, Issue 1, 47-62. Buzas J. S. and Stefanski L. A. (1996), “Instrumental Variable Estimation in Generalized Linear Measurement Error Models,” Journal of the American Statistical Association, 91, 999-1006. Buzas J. S. and Stefanski L. A. (1996), “A note on corrected-score estimation,” Statistics and Probability Letters , 28, 1-8. Buzas J. S. (1997), “Fast estimators of the jackknife,” The American Statistician, Vol. 51, No. 3, 235-240. Buzas, J. S. (1997), “Instrumental variable estimation in nonlinear measurement error models,” Communications in Statistics, Theory and Methods, 26, No. 12, 28612877. Buzas, J. S. (1998), “Unbiased scores in proportional hazards regression with covariate measurement error,” Journal of Statistical Planning and Inference, 67, 247-257. Knuiman, M. W., Divitini, M. L., Buzas, J. S., and FitzGerald, P.E.B. (1998), “Adjustment for regression dilution in epidemiological regression analyses,” Annals of Epidemiology, 8-01, 56-63. Tashman, L. J., Bakken, T., and Buzas, J. S. (2000), “Effect of regressor forecast error on the variance of regression forecasts,” Journal of Forecasting, 19, 587-600. Tosteson T., Buzas, J.S. and Demidenko E., (2003), “Exact asymptotic sample size calculations for generalized regression models with covariate measurement error,” Statistics in Medicine, 22, 1069-1082. Lee, B. S., Chen, L., Buzas, J. S. , and Kannoth V. (2004), ”Regression-Based SelfTuning Modeling of Smooth User-Defined Function Costs for an Object-Relational Database Management System Query Optimizer,” The Computer Journal , Oxford University Press Vol. 47 No. 6. Horbar, J.D., Carpenter J., Buzas, J. S., Soll, R. F., Suresh, G., Bracken, M. B., Leviton, L. L., Plsek, P. E., Sinclair, J. C., (2004), “Timing of Initial Surfactant Treatment for Infants 23 to 29 Weeks Gestation: Is routine practice evidence based? ,” Pediatrics , Vol. 113 No 6, 1593-1602. Horbar, J.D., Carpenter J., Buzas, J. S., Soll, R. F., Suresh, G., Bracken, M. B., Leviton, L. L., Plsek, P. E., Sinclair, J. C., (2004), “Collaborative quality improvement to promote evidence based surfactant for preterm infants: a cluster randomized trial,” British Medical Journal Vol. 329 , Issue:7473 Buzas, J. S., Stefanski, L.A., Tosteson, T.D. (2005) “Measurement Error” chapter in Handbook of Epidemiology. Editors W. Ahrens and I. Pigeot. Springer-Verlag 2005. Donovan, T., Buzas, J. S., Jones, P., Gibbs, H. L., (2006), “Tracking Dispersal in Birds: Assessing the potential of elemental markers,” The Auk Vol. 124, Issue 2, 500-511. Kannoth, V., Lee, B. S., Buzas, J. S., (2006), “Statistical cost modelling of financial time series functions,” International Journal of Computers and Applications, Vo. 28, No 3, 181-188. Long, R.A., T.M. Donovan, P. MacKay, W.J. Zielinski, and J.S. Buzas, (2007), “Comparing the effectiveness of scat detector dogs, remote cameras, and hair snares for surveying carnivores”. Journal of wildlife management 71(6):20182025; 2007. Long, R.A., T.M. Donovan, P. MacKay, W.J. Zielinski, and J.S. Buzas, (2007), “Effectiveness of scat detector dogs for detecting forest carnivores”. Journal of wildlife management 71(6):20072017; 2007. Osler, T., Glance L., Buzas, J. S., Mukamel, D., Wagner, J., Dick, A., (2008), “A Trauma Mortality Prediction Model Based on the Anatomic Injury Scale,” Annals of Surgery 247 (6) June . Buzas, J. S. (2009), “A Note on Corrected Scores for Logistic Regression,” Statistics and Probability Letters, 79, 2351-2358. Long, R.A., T.M. Donovan, P. MacKay, W.J. Zielinski, and J.S. Buzas, (2011), “ Predicating carnivore occurrence with data collected via multiple, noninvasive methods”. Landscape Ecology: Volume 26, Issue 3, Page 327-340. Buzas, J. S., Wager, C. and Lansky, D. (2011) “Split-plot designs for robotic serial dilution assays”, Biometrics, Volume 67, 1189-1196. Correa de Sa, D.D., Thompson, N., Stinnett-Donnelly, J., Znojkiewicz, P., Habel, N., Mueller, J.G. Bates, J.H.T., Buzas, J. S., Spector, P.S. (2011) “Electrogram Fractionation: The Relationship between Spatio-Temporal Variation of Tissue Excitation and Electrode Spatial Resolution” Circulation: Arrhythmia and Electrophysiology, 4, 909-916. Horbar, J.D., Carpenter J., Badger, G., Kenny, M., Morrow, K. A., Soll, R., Buzas, J. S.,(2012), “Mortality and Neonatal Morbidity Among Infants 501 to 1500 Grams From 2000 to 2009,” Pediatrics, 129, 1019-1026. Eppstein, M., Horbar, J.D. Buzas, J. S., and Kauffman, S. (2012), “Searching clinical fitness landscape,” PLOS | one, November, Vol. 7, Issue 11, e49901. Soll, R., Edwards, E., Badger, G., Kenny, M., Morrow, K. A., Carpenter J., Buzas, J. S.,Horbar, J.D. (2013), “Obstetric and Neonatal Care Practices for Infants 501 to 1500g from 2000 to 2009 ,” Pediatrics, Vol. 132 No. 2 pp. 222 -228 . Buzas, J. S., Stefanski, L.A., Tosteson, T.D. (2014) “Measurement Error” chapter in Handbook of Epidemiology, 2nd edition. Editors W. Ahrens and I. Pigeot. Springer-Verlag. Buzas, J. S., and Dinitz, J. (2014), “An analysis of NK landscapes: Interaction structure, statistical properties and expected number of local optima” in IEEE Transactions on Evolutionary Computation. volume 18, number 6, 807 -818. Osler, Turner MD, MSc; Glance, Laurent G. MD; Li, Wenjun PhD; Buzas, Jeffery S. PhD; Wetzel, Megan L. MSc; Hosmer, David W. PhD, (2015), “Trauma care does not discriminate: The association of race and health insurance with mortality following traumatic injury,” Journal of Trauma and Acute Care Surgery, Volume 78 - Issue 5 - p 1026 to 1033. Osler, T., Glance L., Li, Wenjun, Buzas, J. S. ,Hosmer, D. (2015), “Survival Rates in Trauma Patients Following Health Care Reform in Massachusetts,” JAMA Surgery. 2015;150(7):609-615. With invited commentary. Horbar, J.D., Ehrenkranz, R.A., Badger, G., Edwards, E., Morrow, K. A., Soll, R., Buzas, J. S., Bertino, E., Gagliardi, L., and Bellu, R.,(2015), “Weight Growth Velocity and Postnatal Growth Failure in Infants 501 to 1500 grams: 2000 to 2013,” Pediatrics, Vol. 136, No. 1. Manukyan, N., Eppstein, M.J. and Buzas, J.S. (2016) “Tunably Rugged Landscapes With Known Maximum and Minimum ” IEEE Transactions on Evolutionary Computation, Volume 20, Number 2: 263-274. Osler, T., Glance L., Cook A., Buzas, J. S. ,Hosmer, D. (2016), “The Differential Association of Glasgow Coma Score with Mortality in Patients With and Without Head Injury,” to appear in Injury with editorial comments. Horbar, J.D., Edwards, E., Greenberg, G., Morrow, K. A., Soll, R., Buus-Frank, M., Buzas, J. S.,(2016), “Can All Neonatal Intensive Care Units, NICUs, Perform as Well as the Best?,” submitted. Refereed Conference Papers Hanley, J.P., Eppstein, M.J., Buzas, J.S., and Rizzo, D.M. (2016) “Analyzing the Multivariate Interactions of the Physical, Chemical, and Biological Variables that Characterize Stream Health Using a Genetic Algorithm”, accepted as full paper to GECCO 2016. Nominated for Best paper award. Editorial Responsibilities Associate Editor Journal of the American Statistical Association 2008-2011 Conference and Group Organization International Conference on Robust Statistics 2012 Organizing Committee. Burlington Data Scientists, CO-Organizer of group that meets twice a month, 2013 to present. Book Reviews “Measurement Error in Nonlinear Models,” by Carroll, Ruppert and Stefanski. Journal of the American Statistical Association, 92, 385-386 (1997). “Measurement Error and Misclassification in Statistics and Epidemiology: Impacts and Bayesian Adjustments,” by P Gustafson. Biometrics, 62, 307-308 (2006). Grants and Special Consulting Projects Principal Investigator: Statistical Support for the Vermont Oxford Network. Funding agency: Vermont Oxford Network. Total annual direct costs: ≈$153,000. Duration: 9/2011-12/2016. Improving Trauma Outcomes Using Hospital Performance Reports (R01 HS01673701) Funding agency: AHRQ. Duration: 2007-2011 ($1,500,000) Acted as consultant. SBIR II grant through Lansky Consulting, LLC: High precision bioassay using robotics and statistics. Funding agency: NIH. Duration: 2006-2008. SBIR I grant through Lansky Consulting, LLC: High precision bioassay using robotics and statistics. Funding agency: NIH. Duration: 12/04-3/06. Acted as consultant. Co-Principal Investigator: Generating Cost Models of User-Defined Functions. Funding agency: Department of Energy. Total annual direct costs: $141,899. Duration: 1/028/04. Consultant: Measurement Errors In Cancer Epidemiology. Funding agency: National Institute of Health. Total annual direct costs: $425,535. Duration: 12/99-11/2002. Co-Principal Investigator: Evidence-based Surfactant Therapy for Preterm Infants. Funding agency: Agency for Healthcare Research and Quality. Total annual direct costs: $474,492. Duration: 9/99-9/02. Follow-up Evaluation of Breast Screening Program Project. Principal Investigator: Dr. John Worden. Funding agency: National Cancer Institute. Total annual direct costs: $529,427. Duration: 6/97-6/98 Principal Investigator, University Committee on Research and Scholarship institutional grant (# PSCI96-3) for $5,100 for the period May 1, 1996 through April 30, 1997. Talks Horbar, J.D., Soll, R., Edwards, E., Morrow, K. A., Greenberg, L. , Buzas, J. S.,(2016), “Can All Neonatal Intensive Care Units, NICUS, Perform as Well as the Best 25%?,” for 2016 Pediatric Academic Societies’ Meeting, Baltimore MD, April 30th, 2016. Osler, T., Glance L., Buzas, J. S. ,Hosmer, D., Li, Wenjun (2014) “Race, Health Insurance, and Survival Following Traumatic Injury: Trauma Care Deosn’t Discriminate!”, Health Disparities Grantee’s Conference (poster session), National Harbor, MD. Manukyan, N., Eppstein, M. and Buzas, J.S., (2014), “N M landscapes: Beyond N K, GECCO poster. Soll, R., Horbar, J.D., Badger, G., Kenny, M., Morrow, K. A., Carpenter J., Buzas, J. S.,(2013), “Trends in Neonatal practices 2000 to 2009,” for 2013 Pediatric Academic Societies’ Meeting, Washington D.C., May 4-7th, 2013. Buzas, J.S., (2012) An analysis of N K landscapes. International Conference on Robust Statistics, UVM, Burlington, VT. Horbar, J.D., Carpenter J., Badger, G., Kenny, M., Morrow, K. A., Soll, R., Buzas, J. S., (2012) Mortality and Neonatal Morbidity Among Very Low Birth Weight Infants from 2000 to 2009, 2012 Pediatric Academic Societies’ Meeting, Boston, MA., April 28-May 1, 2012–Platform presentation. Buzas, J.S. (2011) Exploring trends in variation among hospitals for neonatal outcomes, Dartmouth College, Hanover, May 27th, 2011. Buzas, J.S. (2010) Estimation in logistic regression models for clustered/longitudinal data with covariate measurement error, UMASS, Amherst, April 26th, 2010. Buzas, J.S. (2010) Estimation in logistic regression models for clustered/longitudinal data with covariate measurement error, UVM, March 31st, 2010. Buzas, J.S. (2010) Estimation in logistic regression models for clustered/longitudinal data with covariate measurement error, ENAR 2010, New Orleans, LA, March 21-24th, 2010. Buzas, J.S., Wager, C. and Lansky, D. (2009) Split-plot designs in serial dilution bioassay, ENAR 2009, San Antonio, TX, March 15-18th, 2009. Buzas, J.S., Joseph H Carpenter, Michael Kenny, and Jeffrey D Horbar. Describing the Uncertainty for Mortality Estimates at Individual NICUs (Poster), 2009 Pediatric Academic Societies’ Meeting, Baltimore, MD., May 2-5, 2009. Osler, T., Buzas, J. S. and Glance L., 2006. Improved Mortality Prediction Based Upon Anatomic Trauma Description: AIM-AIS, American Association for the Surgery of Trauma (AAST) annual meeting, New Orleans September 28-30. R.A. Long, T.M. Donovan, P. MacKay, W.J. Zielinski, and J.S. Buzas. 2005. Comparing the effectiveness of scat detector dogs, remote cameras, and hair snares for detecting forest carnivores. In proceedings: The Wildlife Society 12th Annual Conference. Madison, Wisconsin. 25-29 September. J.S. Buzas. Algorithms for path selection in serial dilution experiments employing split-plot designs. Lansky Consulting September 9, 2005 Jeffrey D. Horbar, MD, Joseph H. Carpenter, MS, and Jeffrey Buzas, PhD. Variation in NICU Outcomes: Opportunities for Improvement (Poster), 2005 Pediatric Academic Societies’ Meeting, Washington, D.C., May 14-17, 2005. Long, R.A., T.M. Donovan, P. MacKay, W.J. Zielinski, and J.S. Buzas. 2004. Detecting wide-ranging carnivores in the Northeast: A comparison of three noninvasive methods. Paper presentation at Defenders of Wildlifes Carnivores 2004: Expanding partnerships in carnivore conservation. A conference on carnivore biology and conservation. Santa Fe, New Mexico. 14-17 November, 2004 (Presented by R. Long). “Corrected scores for the logistic regression measurement error model,” Joint Statistical Meetings, San Francisco, CA, August, 2003. Horbar, J.D., Carpenter J., Buzas, J. S., Soll, R. F., Suresh, G., Bracken, M. B., Leviton, L. L., Plsek, P. E., Sinclair, J. C., “Cluster Randomized Trial of a Multifaceted Intervention to Promote Evidence-Based Surfactant Therapy” Platform presentation at the Pediatric Academic Societies Meeting, May 2003 (Presented by J. Horbar). “Weighted logrank tests for correlated failure time data,” Joint Statistical Meetings, New York, NY, August, 2002. “Instrumental variable estimation in GEE measurement error models,” Joint Statistical Meetings, Atlanta, GA, August, 2001. “Forecasting in nonlinear time series models,” Joint Statistical Meetings, Indianapolis, IN, August, 2000. Invited. “The effect of forecast error in explanatory variables on the expected accuracy of regression forecasts,” International Symposium in Forecasting, Edinburgh Scotland, June 1998 (presented by L. Tashman and T. Bakken). “Correcting for covariate measurement error in regression models using instrumental variables,” Applied Math Seminar, University of Vermont, May 1998 “Estimation in nonlinear measurement error models using instrumental variables,” Department of Biostatistics, Harvard School of Public Health, Boston MA, February 1997. “Estimation in nonlinear measurement error models using instrumental variables,” University of Massachusetts at Amherst, Amherst MA, October 1996. “Compensating for the effects of measurement error in nonlinear regression models,” Dartmouth Medical School, Hanover NH, September 1996. “Measurement Error in Cox Regression Models,” Joint Statistical Meetings, Chicago IL, August 1996. Invited. “Instrumental variable estimation in nonlinear regression models,” Joint Statistical Meetings, Orlando FL, August 1995. “Fast estimators of the jackknife,” Department of Biostatistics, Harvard School of Public Health, Boston MA, April 1994. “Instrumental variable estimation in generalized linear measurement error models,” IMS-ASA-ENAR Spring Statistics Meeting, Cincinnati OH, March 1992 Invited. (presented by L. A. Stefanski). “Predicting chemical activity using topological indices,” Glaxo Inc., Research Triangle Park NC, July 1992. Teaching and University Service Teaching load: 1993-2004– Three courses per semester (7 credits/semester) in two 3 credit lecture courses and one, 1 credit lecture course. 2005-present– Two courses per semester (6 credits/semester) Graduate Program Coordinator for Statistics/Biostatistics, 2003-2006, 2009-2010 Supervision of numerous masters projects and theses in Statistics and Biostatistics program Courses taught: 1. Probability Theory, STAT 251, Fall 1993, 2012 2. Statistics Practicum, STAT 281, multiple semesters 3. Statistical Theory, STAT 261, Spring 1994 4. Seminar in Experimental Design and Regression Methods , STAT 321, Spring 1994Fall 1998 5. Basic Statistical Methods, STAT 141, 1994-2006 6. Applied Discrete Stochastic Process Models, STAT 252a, Fall 1994, Spring 1999 7. Applied Continuous Stochastic Process Models, STAT 252b, Fall 1994 8. Design of Experiments, STAT 231, Spring 1996-2000 9. Applied Regression Analysis, STAT 225, Fall 1996-1998 10. Statistical Methods II (Experimental Design and Regression Methods), STAT 221, Fall 1998 11. Applied Survival Analysis, STAT 229, Spring 1999, 2001,2003,2005 12. Applied Biostatistics, STAT 308, Fall 1999, 2000,2004,2005,2007-2010 13. Business Statistics, STAT 183, Spring 2000 14. Seminar in Meta-analysis, STAT 395, Fall 2000 15. Applied Probability, STAT 151, Fall 2002 16. Statistical Theory, STAT 241, Spring 2004,2005,2006,2008,2012 17. Applied Nonparametric Statistics, STAT 237, Fall 2004, 2009 18. Bayesian Inference, STAT 330, Spring 2009 19. Theory of Linear Models, STAT 360, Spring 2010 20. Seminar on Multivariate Models, STAT 323, Fall 1997-2003 21. Seminar on Survival Analysis, STAT 329, Spring 1999 22. Quality and Productivity, STAT 224, Fall 2011 23. Statistics Practicum graduate level, STAT 381, multiple semesters 24. Consulting Practicum graduate level, STAT 385, 2004-2008 25. Regression Methods, STAT 395, 2000 26. Seminar in Statistics and Biostatistics, STAT 395, 2002 27. Statistical Methods I, STAT 211, 2010 Committees: Dean search committee, 2013 Faculty Senate, 2007-2013 Department of Mathematics and Statistics: Chair Faculty Search Committee, 1998, 2005, 2011 CEMS Faculty Council 2010-2013 Departmental Computer Committee 1993-present Departmental Comprehensive Exam Committee 1993-present College Curriculum Committee 1996-1998 College IT Committee 1998-2014 Served on numerous doctoral committees in the areas of Engineering Natural Resources and Food Science. Served on numerous masters committees for non-statistics majors UVM Mindfulness Practice Center steering committee, 1998-2013 Professional Service Served as referee for numerous journals including but not limited to: Biometrika, Journal of the American Statistical Association, Technometrics, Annals of Statistics, Biostatistics, Biometrics, Statistics and Probability Letters, The American Statistician, Communications in Statistics, Scandinavian Journal of Statistics, Canadian Journal of Fisheries and Aquatic Sciences, International Statistical Review, Journal of the Royal Statistical Society, Journal of Econometrics, Journal of Paleobiology, American Journal of Epidemiology, Journal of Statistical Planning and Inference, Statistics and Probability Letters, Journal of Statistical Computation and Simulation, Journal of Multivariate Analysis, Statistica Sinica, Statistics in Medicine Professional Development Courses 1. 2. 3. 4. 5. 6. 6. Mixed Models, Summer 2000. Cluster Randomized trials, Spring 2001. Hierarchical Models in Health Services and Outcomes Research, Spring 2002. Model Selection and Multimodel Inference, November 2004. Bayesian Inference using WinBUGS, Spring 2009. Comparative Effectiveness Research, Spring 2010. Enhancing Big Data Projects Through Statistical Engineering , Spring 2014. Professional Memberships American Statistical Association International Biometric Society