Sudipto Banerjee

Summary

Affiliation: University of Minnesota
Country: USA

Publications

  1. ncbi request reprint Coregionalized single- and multiresolution spatially varying growth curve modeling with application to weed growth
    Sudipto Banerjee
    Division of Biostatistics, University of Minnesota, Minneapolis, Minnesota 55455, USA
    Biometrics 62:864-76. 2006
  2. ncbi request reprint Parametric spatial cure rate models for interval-censored time-to-relapse data
    Sudipto Banerjee
    Division of Biostatistics, School of Public Health, University of Minnesota, MMC 303, 420 Delaware Street SE, Minneapolis, Minnesota 55455, USA
    Biometrics 60:268-75. 2004
  3. ncbi request reprint Semiparametric proportional odds models for spatially correlated survival data
    Sudipto Banerjee
    Division of Biostatistics, University of Minnesota, Minneapolis, MN 55455, USA
    Lifetime Data Anal 11:175-91. 2005
  4. ncbi request reprint On geodetic distance computations in spatial modeling
    Sudipto Banerjee
    Division of Biostatistics, School of Public Health, University of Minneapolis, Minnesota 55455, USA
    Biometrics 61:617-25. 2005
  5. doi request reprint Effect of training on exposure judgment accuracy of industrial hygienists
    Monika Vadali
    Division of Environmental Health Sciences, School of Public Health, University of Minnesota, 420 Delaware St SE, Minneapolis, MN 55455, USA
    J Occup Environ Hyg 9:242-56. 2012
  6. doi request reprint Seasonal variability of culturable fungal genera in the house dust of inner-city residences
    Sook Ja Cho
    Division of Environmental Health Sciences, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
    J Occup Environ Hyg 5:780-9. 2008
  7. pmc Bayesian wombling for spatial point processes
    Shengde Liang
    MMC 303, School of Public Health, University of Minnesota, Minneapolis, Minnesota 55455 0392, USA
    Biometrics 65:1243-53. 2009
  8. doi request reprint Desktop study of occupational exposure judgments: do education and experience influence accuracy?
    Perry W Logan
    Division of Environmental Health Sciences, School of Public Health, University of Minnesota, Minneapolis, Minnesota 55455, USA
    J Occup Environ Hyg 8:746-58. 2011
  9. pmc Modelling geographically referenced survival data with a cure fraction
    Freda Cooner
    Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, Minnesota 55455 0392, USA
    Stat Methods Med Res 15:307-24. 2006
  10. ncbi request reprint Frailty modeling for spatially correlated survival data, with application to infant mortality in Minnesota
    Sudipto Banerjee
    Division of Biostatistics, School of Public Health, University of Minnesota, Mayo Mail Code 303, Minneapolis, Minnesota 55455, USA
    Biostatistics 4:123-42. 2003

Collaborators

Detail Information

Publications18

  1. ncbi request reprint Coregionalized single- and multiresolution spatially varying growth curve modeling with application to weed growth
    Sudipto Banerjee
    Division of Biostatistics, University of Minnesota, Minneapolis, Minnesota 55455, USA
    Biometrics 62:864-76. 2006
    ..We illustrate using data from weed growth experiments conducted in Waseca, Minnesota, that recorded growth of the weed Setaria spp. in a spatially replicated design...
  2. ncbi request reprint Parametric spatial cure rate models for interval-censored time-to-relapse data
    Sudipto Banerjee
    Division of Biostatistics, School of Public Health, University of Minnesota, MMC 303, 420 Delaware Street SE, Minneapolis, Minnesota 55455, USA
    Biometrics 60:268-75. 2004
    ..In addition to the usual posterior estimates, our approach yields smoothed zip code level maps of model parameters related to the relapse rates over time and the ultimate proportion of quitters (the cure rates)...
  3. ncbi request reprint Semiparametric proportional odds models for spatially correlated survival data
    Sudipto Banerjee
    Division of Biostatistics, University of Minnesota, Minneapolis, MN 55455, USA
    Lifetime Data Anal 11:175-91. 2005
    ....
  4. ncbi request reprint On geodetic distance computations in spatial modeling
    Sudipto Banerjee
    Division of Biostatistics, School of Public Health, University of Minneapolis, Minnesota 55455, USA
    Biometrics 61:617-25. 2005
    ..This article explores the different options in using planar metrics and investigates their impact upon spatial modeling...
  5. doi request reprint Effect of training on exposure judgment accuracy of industrial hygienists
    Monika Vadali
    Division of Environmental Health Sciences, School of Public Health, University of Minnesota, 420 Delaware St SE, Minneapolis, MN 55455, USA
    J Occup Environ Hyg 9:242-56. 2012
    ..It may be worthwhile to develop standard training programs to improve exposure judgments...
  6. doi request reprint Seasonal variability of culturable fungal genera in the house dust of inner-city residences
    Sook Ja Cho
    Division of Environmental Health Sciences, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
    J Occup Environ Hyg 5:780-9. 2008
    ..3) were substantially larger than that observed for total fungi (2.5). These results suggest that future studies attempting to link individual fungal genera to health effects need to characterize and control for this seasonal variability...
  7. pmc Bayesian wombling for spatial point processes
    Shengde Liang
    MMC 303, School of Public Health, University of Minnesota, Minneapolis, Minnesota 55455 0392, USA
    Biometrics 65:1243-53. 2009
    ....
  8. doi request reprint Desktop study of occupational exposure judgments: do education and experience influence accuracy?
    Perry W Logan
    Division of Environmental Health Sciences, School of Public Health, University of Minnesota, Minneapolis, Minnesota 55455, USA
    J Occup Environ Hyg 8:746-58. 2011
    ..The findings also suggest methods for enhancing exposure judgment accuracy through statistical tools, mathematical exposure modeling, and specific training...
  9. pmc Modelling geographically referenced survival data with a cure fraction
    Freda Cooner
    Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, Minnesota 55455 0392, USA
    Stat Methods Med Res 15:307-24. 2006
    ..The special models we outline are alternatives to the traditional proportional hazards models and can be fitted using standard Bayesian software such as WinBUGS...
  10. ncbi request reprint Frailty modeling for spatially correlated survival data, with application to infant mortality in Minnesota
    Sudipto Banerjee
    Division of Biostatistics, School of Public Health, University of Minnesota, Mayo Mail Code 303, Minneapolis, Minnesota 55455, USA
    Biostatistics 4:123-42. 2003
    ..We also compare use of our time-to-event outcome survival model with the simpler dichotomous outcome logistic model. Finally, we summarize our findings and suggest directions for future research...
  11. pmc Bayesian modeling of exposure and airflow using two-zone models
    Yufen Zhang
    Division of Biostatistics, University of Minnesota, Minneapolis, MN 55455, USA
    Ann Occup Hyg 53:409-24. 2009
    ....
  12. ncbi request reprint Generalized hierarchical multivariate CAR models for areal data
    Xiaoping Jin
    Division of Biostatistics, School of Public Health, University of Minnesota, Mayo Mail Code 303, Minneapolis, 55455 0392, USA
    Biometrics 61:950-61. 2005
    ..2002, Journal of the Royal Statistical Society, Series B64, 583-639). Finally, we offer a real-data application of our proposed GMCAR approach that models lung and esophagus cancer death rates during 1991-1998 in Minnesota counties...
  13. ncbi request reprint Expert judgment and occupational hygiene: application to aerosol speciation in the nickel primary production industry
    Gurumurthy Ramachandran
    Division of Environmental and Occupational Health, School of Public Health, University of Minnesota, Minneapolis, MN 55455, USA
    Ann Occup Hyg 47:461-75. 2003
    ..However, more study is warranted for situations where the domain of the quantity of interest has a much wider range of values, e.g. actual exposure values...
  14. doi request reprint Effect of training, education, professional experience, and need for cognition on accuracy of exposure assessment decision-making
    Monika Vadali
    Division of Environmental Health Sciences, School of Public Health, University of Minnesota, Minneapolis, MN 55455, USA
    Ann Occup Hyg 56:292-304. 2012
    ....
  15. pmc Hierarchical and joint site-edge methods for medicare hospice service region boundary analysis
    Haijun Ma
    MMC 303, School of Public Health, University of Minnesota, Minneapolis, Minnesota 55455 0392, USA
    Biometrics 66:355-64. 2010
    ..We also obtain boundaries for the spatial residuals from our fits, separating regions that differ for reasons yet unaccounted for by our model...
  16. ncbi request reprint Indoor air quality in two urban elementary schools--measurements of airborne fungi, carpet allergens, CO2, temperature, and relative humidity
    Gurumurthy Ramachandran
    Division of Environmental Health Sciences, School of Public Health, University of Minnesota, Minneapolis, Minnesota 55455, USA
    J Occup Environ Hyg 2:553-66. 2005
    ..The results show that for fungi and cat allergens, the school environment can be an important exposure source for children...
  17. pmc Parametric models for spatially correlated survival data for individuals with multiple cancers
    Ulysses Diva
    Global Biometric Sciences, Bristol Myers Squibb Company, Wallingford, CT, U S A
    Stat Med 27:2127-44. 2008
    ..Model checking and comparison among competing models were performed and some implementation issues were presented. We recommend the use of the spatial PH model for this data set...
  18. ncbi request reprint Rating exposure control using Bayesian decision analysis
    Paul Hewett
    Exposure Assessment Solutions, Inc, Morgantown, West Virginia 26508, USA
    J Occup Environ Hyg 3:568-81. 2006
    ..In either case, the industrial hygienist should readjust his judgment regarding this operation...

Research Grants3

  1. Hierachial Modeling Approaches for Geographical Boundary Analysis in Cancer Studi
    Sudipto Banerjee; Fiscal Year: 2006
    ..Applications for environmental risk factor data from the Environmental Protection Agency (EPA) will also be carried out to draw toxin boundaries that may reveal interesting cancer-toxin relationships ..
  2. Hierachial Modeling Approaches for Geographical Boundary Analysis in Cancer Studi
    Sudipto Banerjee; Fiscal Year: 2007
    ..Applications for environmental risk factor data from the Environmental Protection Agency (EPA) will also be carried out to draw toxin boundaries that may reveal interesting cancer-toxin relationships. ..