teaching photo Department of Biostatistics
Johns Hopkins Bloomberg School of Public Health
615 N. Wolfe St.
Baltimore, MD 21205

Office: E3535
Phone: (410) 955-2468
Fax: (410) 955-0958
Email: rpeng at jhsph.edu
URL: http://www.biostat.jhsph.edu/~rpeng/

Education

Experience

Awards

Publications

Data and software for my research projects can be found at my Reproducible Research Repository. If you cannot obtain a copy of an article (for example, if you do not have a subscription), please send me an email.

  1. Peng RD, Eckel SP. "Distributed reproducible research using cached computations," in revision.
    [PDF]
  2. 2008

  3. Bell ML, Ebisu K, Peng RD, Walker J, Samet JM, Zeger SL, Dominici F. "Seasonal and regional short-term effects of fine particles on hospital admissions in 202 U.S. counties, 1999–2005," American Journal of Epidemiology, to appear.
  4. Samoli E, Peng RD, Ramsay T, Pipikou M, Touloumi G, Dominici F, Burnett R, Cohen A, Krewski D, Samet J, Katsouyanni K. "Acute effects of ambient particulate matter on mortality in Europe and North America: Results from the APHENA study," Environmental Health Perspectives, to appear.
  5. Eckel SP, Peng RD. "Interacting with local and remote data repositories using the stashR package," Computational Statistics, to appear.
    [PDF | Journal PDF]
  6. Welty LJ, Peng RD, Zeger SL, Dominici F. "Bayesian distributed lag models: Estimating effects of particulate matter air pollution on daily mortality," Biometrics, to appear.
    [PubMed | PDF]
  7. Katsouyanni K, Samet JM, Anderson HR, Atkinson R, Le Tertre A, Medina S, Samoli E, Touloumi G, Burnett RT, Krewski D, Ramsay T, Dominici F, Peng RD, Schwartz J, Zanobetti A. Air pollution and health: a North American and European approach (APHENA), Research Report, Health Effects Institute, Boston MA, to appear.
  8. Peng RD, Dominici F, Welty LJ. "A Bayesian hierarchical distributed lag model for estimating the time course of hospitalization risk associated with particulate matter air pollution," Journal of the Royal Statistical Society, Series C, to appear.
    [PDF]
  9. Peng RD (2008). "Caching and distributing statistical analyses in R," Journal of Statistical Software, 26 (7), 1--24.
    [PDF | Supplementary Materials]
  10. Peng RD, Chang HH, Bell ML, McDermott A, Zeger SL, Samet JM, Dominici F (2008). "Coarse particulate matter air pollution and hospital admissions for cardiovascular and respiratory diseases among Medicare patients," Journal of the American Medical Association, 299 (18), 2172–2179. (NIEHS Extramural Paper of the Month, July 2008)
    [PubMed | full text | PDF | Supplementary Materials | press release]
  11. Peng RD (2008). "A method for visualizing multivariate time series data," Journal of Statistical Software, 25 (Code Snippet 1), 1–17. (Downloaded 1156 times since March 2008)
    [PDF | Supplementary Materials | code]
  12. 2007

  13. Dominici F, Peng RD, Ebisu K, Zeger SL, Samet JM, Bell ML (2007). "Does the effect of PM10 on mortality depend on PM nickel and vanadium content? A re-analysis of the NMMAPS data," Environmental Health Perspectives, 115 (12), 1701–1703. doi:10.1289/ehp.10737
    [PubMed | PDF]
  14. Dominici F, Peng RD, Zeger SL, White RH, Samet JM (2007). "Particulate air pollution and mortality in the United States: Did the risks change from 1987 to 2000? (with discussion)" American Journal of Epidemiology, 166 (8), 880–888. doi:10.1093/aje/kwm222 (NIEHS Extramural Paper of the Month, December 2007)
    [PubMed | PDF]
  15. 2006

  16. Peng RD, Dominici F, Zeger SL (2006). "Reproducible epidemiologic research," American Journal of Epidemiology, 163 (9), 783–789. doi:10.1093/aje/kwj093
    [ PubMed | full text | PDF | press release]
  17. Peng RD (2006). "Interacting with data using the filehash package," R News, 6 (4), 19–24.
    [PDF]
  18. Dominici F, Peng RD, Bell ML, Pham L, McDermott A, Zeger SL, Samet JM (2006). "Hospital admissions and fine particulate air pollution—Reply,", Journal of the American Medical Association, 296, 1966–1967.
    [full text | PDF | related news article]
  19. Zeger SL, McDermott A, Dominici F, Peng RD, Samet JM (2006). Internet-Based Health and Air Pollution Surveillance System, Communication 12, Health Effects Institute, Boston MA.
    [Abstract | PDF | Website]
  20. Bell ML, Peng RD, Dominici F (2006). "The exposure-response curve for ozone and risk of mortality and the adequacy of current ozone regulations," Environmental Health Perspectives, 114, 532–536. doi:10.1289/ehp.8816
    [PubMed | synopsis | PDF]
  21. Dominici F, Peng RD, Bell ML, Pham L, McDermott A, Zeger SL, Samet JM (2006). "Fine particulate air pollution and hospital admission for cardiovascular and respiratory diseases," Journal of the American Medical Association, 295 (10) 1127–1134.
    [PubMed | full text | PDF | press release | Supplementary Materials]
  22. Zeger SL, Irizarry R, Peng RD (2006). "On time series analysis of public health and biomedical data," Annual Review of Public Health, 27, 57–79. doi:10.1146/annurev.publhealth.26.021304.144517
    [PubMed | PDF]
  23. Peng RD, Dominici F, Louis TA (2006). "Model choice in time series studies of air pollution and mortality (with discussion)," Journal of the Royal Statistical Society, Series A, 169 (2), 179–203. doi:10.1111/j.1467-985X.2006.00410.x (#2 most cited paper in JRSS-A, 2005–2008)
    [data | PDF]
  24. 2005

  25. Peng RD, Dominici F, Pastor-Barriuso R, Zeger SL, Samet JM (2005). "Seasonal analyses of air pollution and mortality in 100 U.S. cities," American Journal of Epidemiology, 161 (6), 585–594. doi:10.1093/aje/kwi075
    [ PubMed | full text | PDF]
  26. Peng RD, Schoenberg FP, Woods JA (2005). "A space-time conditional intensity model for evaluating a wildfire hazard index," Journal of the American Statistical Association, 100 (469), 26–35.
    [PDF]
  27. 2004 and Earlier

  28. Peng RD, Welty LJ (2004). "The NMMAPSdata package," R News, 4 (2), 10–14.
    [PDF]
  29. Peng RD (2003). "Multi-dimensional point process models in R," Journal of Statistical Software, 8 (16), 1–27.
    [PDF]
  30. Schoenberg FP, Peng R, Woods J (2003). "On the distribution of wildfire sizes," Environmetrics, 14 (6), 583–592.
    [PDF]
  31. Schoenberg FP, Peng R, Huang Z, Rundel P (2003). "Detection of nonlinearities in the dependence of burn area on fuel age and climatic variables," International Journal of Wildland Fire, 12 (1), 1–6.
    [PDF]
  32. Peng RD, Hengartner NW (2002). "Quantitative analysis of literary styles," The American Statistician, 56 (3), 175–185.
    [data | PDF]

Books

  1. Peng RD, Dominici F (2008). Statistical Methods for Environmental Epidemiology in R: A Case Study in Air Pollution and Health, Springer.
    [Publisher's Website | Order from Amazon]

Software

  1. mvtsplot: A function for plotting multivariate time series data
  2. cacher: Tools for caching and distributing statistical analyses in R
  3. SRPM: A package development and management system for distributed reproducible research
  4. NMMAPSdata: Daily mortality, air pollution, and weather data from the National Morbidity, Mortality, and Air Pollution Study.
  5. NMMAPSlite: NMMAPS data made available via 'stashR' databases
  6. filehash: A file-based hash table for R
  7. filehashSQLite: Filehash databases using the SQLite database backend
  8. cacheSweave: Caching computations in Sweave
  9. stashR: A Set of Tools for Administering SHared Repositories
  10. gpclib: An R package for clipping complex polygons
  11. simpleboot: Simple bootstrapping routines in R
  12. ptproc: An R package for analyzing multi-dimensional point process models.

Workshops and Short Courses

  1. Integrating Computing into the Statistics Curriculum, UC Berkeley, July 2008
  2. NSF Computing in Statistics Workshop, MSRI, May 2007
  3. Summer Program in Statistics for Undergraduates, UCLA, June 2006
    Short course on statistical analysis of air pollution and health data

Invited Presentations

  1. Interface, Durham, May 2008
    Statistical methods for estimating the health risks of particulate matter components
  2. American Public Health Association Annual Meeting, Washington DC, November 2007
    Model choice in time series studies of air pollution and health
  3. Joint Statistical Meetings, Salt Lake City, August 2007
    Estimating the distributed lag between air pollution and hospitalization using a Bayesian hierarchical model
  4. Health Effects Institute Annual Meeting, Chicago, April 2007
    Air Pollution and Health: A Combined European and North American Approach
  5. Health Effects Institute Annual Meeting, San Francisco, April 2006
  6. ENAR, Tampa, March 2006
    Model choice in time series studies of air pollution and health
  7. Joint Statistical Meetings, Minneapolis, August 2005
    Spatial modeling of environmental exposures, diseases, and confounders using national databases
  8. WNAR, Fairbanks, June 2005
    Model choice in time series studies of air pollution and health
  9. Health Effects Institute Annual Meeting, Baltimore, April 2005
    Combined acute effects of ozone on the daily number of deaths among people older than 75 years in European and North Amercican Cities [with the APHENA group]
  10. Department of Health Studies, The University of Chicago, February 2005
  11. Department of Statistics, North Carolina State University, February 2005
  12. Department of Biostatistics, Harvard School of Public Health, January 2005
  13. Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, January 2005
    Do current air pollution levels affect human health? Statistical and computational models for estimating air pollution health effects on a national scale.
  14. Environmental Biostatistics and Epidemiology Group, Johns Hopkins Bloomberg School of Public Health, July 2004
    The NMMAPSdata R package and reproducible research
  15. Mini-workshop on Climate and Health, National Center for Atmospheric Research, May 2004
    Seasonal analyses of PM10 and mortality [PDF]
  16. Health Effects Institute Annual Meeting, May 2004
    What models is APHENA using? [with the APHENA group]
  17. Department of Biostatistics, University of Pittsburgh Graduate School of Public Health, February 2004
    Space-time point process models for evaluating a wildfire hazard index [PDF]
  18. Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, September 2003
    Residual analysis for point process models and applications to wildfire hazard assessment
  19. Point Processes: Theory and Applications, Banff International Research Station, June 2003
  20. Department of Statistics, UCLA, May 2003
  21. Statistical Sciences Group, Los Alamos National Laboratory, February 2003
  22. Geophysical Statistics Project, National Center for Atmospheric Research, February 2003
  23. Environmental Biostatistics Working Group, Johns Hopkins Bloomberg School of Public Health, January 2003
    Multi-dimensional point process models for evaluating a wildfire hazard index
  24. GSO Seminar, Department of Mathematics, UCLA, November 2000
    Multvariate analysis applied to differences in literary style

Contributed Talks

  1. Joint Statistical Meetings, Seattle, August 2006
    Model choice in time series studies of air pollution and mortality
  2. Joint Statistical Meetings, Toronto, August 2004
    Seasonal analyses of air pollution and mortality in 100 U.S. cities [PDF]
  3. Joint Statistical Meetings, San Francisco, August 2003
    Evaluating a wildfire hazard index using point process models
  4. Joint Statistical Meetings, New York, August 2002
    Estimating the renewal distribution of spatial-temperal coverage process
  5. Joint WNAR/IMS meeting, UCLA, June 2002
    Estimating the fire interval distribution for Los Angeles County, California
  6. Hawaii International Conference on Statistics and Related Fields, June 2002
    Estimating the fire interval distribution for Los Angeles County, California
  7. Forest Fires 2001: Operational Mechanisms, Firefighting Means and New Technologies, Athens, Greece, March, 2001
    Estimation of hazard using time-since-fire and spatial-temporal wildfire data

Editorial Activities

Teaching and Service

Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health

Department of Statistics, UCLA

Research Interests

Computer Interests

Other