JOHN W. STAUDENMAYER EDUCATION

Transcription

1 JOHN W. STAUDENMAYER Dept. of Mathematics and Statistics Lederle Graduate Research Tower University of Massachusetts at Amherst Phone: (413) jstauden at math dot umass dot edu EDUCATION 1992 B.A. (Mathematics) Williams College, Williamstown, MA, USA 1998 M.S. (Operations Research) Cornell University, Ithaca, NY, USA 2000 Ph.D. (Operations Research) Cornell University, Ithaca, NY, USA Advisor: David Ruppert PROFESSIONAL EXPERIENCE NIEHS Predoctoral Training Grant Fellow, Cornell University NIEHS Postdoctoral Training Grant Fellow, Harvard School of Public Health, Department of Biostatistics present Assistant Professor, Professor, Dept. of Mathematics and Statistics, University of Massachusetts, Amherst PUBLICATIONS 1. Aherns, C., Altman, N., Casella, G., Eaton, M., Hwang, G. J. T., Staudenmayer, J., and Stefanescu, C. (2001). Leukemia clusters and TCE Wastesites in Upstate New York: How adding covariates changes the story. Environmetrics, 12, Staudenmayer, J. (2001). The Probit Model. In Encyclopedia of Environmetrics. John Wiley and Sons. 3. Staudenmayer, J. (2001). Estimating Functions. In Encyclopedia of Environmetrics. John Wiley and Sons. 4. Myatt, T., Staudenmayer, J., Adams, K., Walters, M., Rudnick, S., and Milton, D. (2002). A study of indoor carbon dioxide levels and sick leave among office workers. Environmental Health: A Global Access Science Source, Staudenmayer, J., and Spiegelman, D. (2002). Segmented regression in the presence of covariate measurement error in main study / validation study designs. Biometrics, 58, Staudenmayer, J. and Ruppert, D. (2004). Local Polynomial Regression and SIMEX. Journal of the Royal Statistical Society, Series B, 66, Coull, B. and Staudenmayer, J. (2004). Self-modeling Regression for Multivariate Curve Data. Statistica Sinica, 14, Wright, R., Finn, P., Contreras, J.P. Cohen, S., Wright, R.O., Staudenmayer, J., Wand, M.P., Perkins, D., Weiss, S., Gold, D.R. (2004). Chronic Caregiver Stress and IgE Expression, Allergen-induced Lymphocyte Proliferation, and Cytokine Profiles in a Birth-cohort

2 Predisposed to Atopy. Journal of Allergy and Clinical Immunology, Staudenmayer, J. and Buonaccorsi, J. (2005). Measurement Error in Linear Autoregressive Models. Journal of the American Statistical Association, Theory and Methods, 100, Ganguli, B., Staudenmayer, J., and Wand, M.P. (2005). Additive Models with Predictors Subject to Measurement Error. Australia and New Zealand Journal of Statistics, 47, Buonaccorsi, J., J. Staudenmayer, and M. Carreras. (2006). Modeling observation error and its effects in a random walk / extinction model. Theoretical Population Biology, 70, Zhao, Y., Staudenmayer, J., Coull, B. and Wand, M.P. (2006). General Design Bayesian Generalized Linear Mixed Models. Statistical Science, Staudenmayer, J. and Buonaccorsi, J. (2006). Measurement error in a random walk model with applications to population dynamics. Biometrics, 62, Pober, D., Staudenmayer, J., Raphael, C., and Freedson, P.S. (2006). Development of a novel analytical technique to assess physical activity using accelerometers. Medicine and Science in Sports and Exercise, 38, Calabrese, E., Staudenmayer, J., Stanek, E., and Hoffman, G. (2006). Hormesis Outperforms Threshold Model in NCI Anti-tumor Drug Screening Database. Toxicological Sciences, 94, Maselko J., Kubzansky L., Kawachi I., Staudenmayer J., Berkman L. (2006). Religious service attendance and changes in pulmonary function in a high functioning elderly cohort. Annals of Behavioral Medicine, Calabrese, E. Staudenmayer, J., and Stanek, E. (2006). Drug Development and Hormesis. Drug Discovery and Development, 9, Staudenmayer, J., Ruppert, D., and Buonaccorsi, J.P. Density estimation in the presence of heteroskedastic measurement error. To appear in the Journal of the American Statistical Association, Theory and Methods. PAPERS IN PEER-REVIEW 19. Staudenmayer, J., Lake, E.E., and Wand, M.P. Robustness for general design mixed models using the t-distribution. (resubmitted to Statistical Modeling) 20. Buonaccorsi, J.P. and Staudenmayer, J. Correcting for Observation Error in a Random Walk/PVA Model: Statistical Methods and Examples. (in revision for Ecological Monographs)

3 FEDERALLY FUNDED GRANT SUPPORT (projects with a substantial component of novel statistical methodology development) Development of an integrated measurement system to assess habitual physical activity. National Institutes of Health. Role: Co-PI, PI: P. Freedson, Co-PIs: Robert Gao, Jane Kent-Braun, $2,195,835 (direct), 08/ /2011. Novel analytical techniques for physical activity assessment. National Institutes of Health. Role: Co-PI, PI: P. Freedson, $1,578,473 (total), 06/ /2010. Measurement Error in Time Series / Longitudinal Study Data. National Science Foundation. Role: Co-PI, PI: J. P. Buonaccorsi, $211,033 (direct), 06/ /2006. Measurement Errors in Cancer Epidemiology. National Institutes of Health. Role: Consultant, PI: D. Spiegelman, $20,000 (total), 06/ /2002. FEDERALLY FUNDED GRANT SUPPORT (projects requiring application of modern statistical methodologies) Comparison of the 7164 Actigraph to the GT1M Actigraph during Self- Paced Walking in Adults. National Cancer Institute. PI: Patty Freedson, UMass, 07/2007-5/31/08. Stress, Environment, and Genetics in Urban Asthma. National Institutes of Health. PI: R. Wright, Channing Institute, 01/ /2009. Interactions between exercise and metformin in prediabetes: glucose metabolism at the cellular, whole-body, and clinically relevant levels. American Diabetes Association. PI: B. Braun, UMass, 06/ /2007. Chemical/Radiation Hormesis Database, Evaluation of Hormetic Mechanisms & Their Biomedical and Risk Assessment Implications. Department of Defense. PI: E. Calabrese, UMass, 05/ /2007. INDUSTRIAL PROJECTS imeasure Fitness. Galileo Heath Partners, Belmont, MA. 06/ /2007. Smoothing and Baseline Correction for Calorimeter Signal Processing, MicroCal, Northampton, MA. 09/ /2007. Pedometer Calibration and Energy Expenditure Estimation, Omron, Inc, Schaumburg, IL. 05/ /2006.

4 PhD STUDENTS (major advisor or significant role) Meng-Shiou Shieh (Math and Stat), Major Advisor, (2007- ) Correction Methods, Approximate Biases, and Inference for Misclassified Data. David Pober (Kinesiology), Committee Member, ( ) Development of Novel Analytical Techniques to Assess Physical Activity Using Accelerometers. Maximo Carreras (Math and Stat), Committee Member, ( ) Topics in Non-parametric Maximum Likelihood Analysis. PhD STUDENTS (minor role) Rebecca Hassan (Kinesiology), Committee Member, (2007-) Anita Christie (Kinesiology), Committee Member, (2007-) Moon-Yong Baek (Resource Economics), Committee Member, (2006-) Brooke Stephens (Kinesiology), Committee Member, (2005-) Wei Li (Computer Science), Committee Member, (2005-) Vanessa Murdock (Computer Science), Committee Member, ( ) Jennifer Neville (Computer Science), Committee Member, ( ) Gary Holness (Computer Science), Committee Member, (2004-) Ying Lu (Education), Committee Member, ( ) Raj Gupta (Computer Science), Committee Member, ( ) Ramesh Nallapati (Computer Science), Committee Member, ( ) COURSES TAUGHT AT UMASS 1. Methods in Applied Statistics (undergraduate and graduate) 2. Statistical Computing with SAS (undergraduate and graduate) 3. Modern Topics in Regression (graduate) 4. Survival Analysis (graduate) 5. Regression Analysis (undergraduate and graduate) 6. Statistics Masters Project Course (graduate) 7. Introduction to Probability and Statistics II (undergraduate and graduate) 8. Probability and Mathematical Statistics I (graduate) 9. Probability and Mathematical Statistics II (graduate) 10. Advanced Statistical Theory (graduate) 11. Independent Study: Applied Statistics in R (8 graduate students) 12. Independent Study: Masters Project (3 graduate students) 13. Independent Study: Mixture Models (1 undergraduate student) 14. Independent Study: Physical Activity Assessment (1 graduate student) 15. Independent Study: Statistical Computing (1 undergraduate student) 16. Independent Study: Applied Biostatistics (1 undergraduate student)

5 DEPARTMENTAL SERVICE AT UMASS Department Faculty Search Committee (2 years) Department Graduate Admissions Committee (2 years) Biostatistics Department Faculty Search Committee (1 year) Undergraduate Affairs Committee (1 year) Research Computing Facility Committee (1 year) Teaching Evaluation Data Processing EDITORIAL SERVICE Associate Editor, Journal of the American Statistical Association, Theory and Methods. Starting in July AD HOC REVIEWING American Journal of Epidemiology; Biometrics; Communications in Statistics; Computational Statistics and Data Analysis; CRC Press; Environmental Protection Agency; Houghton-Mifflin; Journal of Applied Physiology; Journal of the American Statistical Association; Journal of Agricultural, Biological and Ecological Statistics; Journal of the Royal Statistical Society; Statistics in Medicine; Statistica Sinica ACTIVE MEMBERSHIPS American Statistical Association Biometrics Society