David Richardson

Summary

Affiliation: University of North Carolina
Country: USA

Publications

  1. doi request reprint Random effects regression models for trends in standardised mortality ratios
    David B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
    Occup Environ Med 70:133-9. 2013
  2. ncbi request reprint The effect of rate denominator source on US fatal occupational injury rate estimates
    David Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina, Chapel Hill, North Carolina 27599 8050, USA
    Am J Ind Med 46:261-70. 2004
  3. pmc Investigating time patterns of variation in radiation cancer associations
    D B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina, Chapel Hill, NC 27599 8050, USA
    Occup Environ Med 62:551-8. 2005
  4. pmc Ionizing radiation and chronic lymphocytic leukemia
    David B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599 8050, USA
    Environ Health Perspect 113:1-5. 2005
  5. pmc An incidence density sampling program for nested case-control analyses
    D B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina, Chapel Hill, NC 27599 8050, USA
    Occup Environ Med 61:e59. 2004
  6. pmc The impact of exposure categorisation for grouped analyses of cohort data
    D B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 8050, USA
    Occup Environ Med 61:930-5. 2004
  7. pmc Fatal occupational injury rates in southern and non-southern States, by race and Hispanic ethnicity
    David B Richardson
    Department of Epidemiology, School of Public Health, CB No 8050, Bank of America Plaza, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 8050, USA
    Am J Public Health 94:1756-61. 2004
  8. ncbi request reprint Time-related aspects of the healthy worker survivor effect
    David Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
    Ann Epidemiol 14:633-9. 2004
  9. ncbi request reprint Adult hemoglobin levels at birth and risk of sudden infant death syndrome
    David B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 8050, USA
    Arch Pediatr Adolesc Med 158:366-71. 2004
  10. ncbi request reprint Power calculations for survival analyses via Monte Carlo estimation
    David B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599 8050, USA
    Am J Ind Med 44:532-9. 2003

Research Grants

Detail Information

Publications46

  1. doi request reprint Random effects regression models for trends in standardised mortality ratios
    David B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
    Occup Environ Med 70:133-9. 2013
    ..However, because the distribution of people with respect to age usually changes as calendar time advances, comparisons of SMRs across calendar periods can produce misleading results...
  2. ncbi request reprint The effect of rate denominator source on US fatal occupational injury rate estimates
    David Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina, Chapel Hill, North Carolina 27599 8050, USA
    Am J Ind Med 46:261-70. 2004
    ..The Decennial Census of Population provides an alternative source for rate denominator information. We investigate the comparability of fatal injury rates derived using these two sources of rate denominator information...
  3. pmc Investigating time patterns of variation in radiation cancer associations
    D B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina, Chapel Hill, NC 27599 8050, USA
    Occup Environ Med 62:551-8. 2005
    ..The authors present several simple models that may be used to evaluate the influence of time since exposure or age at exposure on cancer incidence or mortality in an occupational cohort...
  4. pmc Ionizing radiation and chronic lymphocytic leukemia
    David B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599 8050, USA
    Environ Health Perspect 113:1-5. 2005
    ..Our findings in this review suggest that there is not a persuasive basis for the conclusion that CLL is a nonradiogenic form of cancer...
  5. pmc An incidence density sampling program for nested case-control analyses
    D B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina, Chapel Hill, NC 27599 8050, USA
    Occup Environ Med 61:e59. 2004
    ..In order to obtain unbiased estimates of relative risk, controls should be selected by incidence density sampling, which involves matching each case to a sample of those who are at risk at the time of case occurrence...
  6. pmc The impact of exposure categorisation for grouped analyses of cohort data
    D B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 8050, USA
    Occup Environ Med 61:930-5. 2004
    ..In order to estimate a dose-response trend, a researcher must decide how to categorise exposures and how to assign scores to exposure groups...
  7. pmc Fatal occupational injury rates in southern and non-southern States, by race and Hispanic ethnicity
    David B Richardson
    Department of Epidemiology, School of Public Health, CB No 8050, Bank of America Plaza, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 8050, USA
    Am J Public Health 94:1756-61. 2004
    ..We investigated fatal occupational injury rates in the United States by race and Hispanic ethnicity during the period 1990-1996...
  8. ncbi request reprint Time-related aspects of the healthy worker survivor effect
    David Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
    Ann Epidemiol 14:633-9. 2004
    ..We use simulations and an empirical example to demonstrate that time-since-termination can be a confounding factor in analyses of occupational-exposure-mortality associations...
  9. ncbi request reprint Adult hemoglobin levels at birth and risk of sudden infant death syndrome
    David B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 8050, USA
    Arch Pediatr Adolesc Med 158:366-71. 2004
    ..Delayed or faulty transition to the production of adult hemoglobin might play a role in the etiology of sudden infant death syndrome (SIDS)...
  10. ncbi request reprint Power calculations for survival analyses via Monte Carlo estimation
    David B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599 8050, USA
    Am J Ind Med 44:532-9. 2003
    ..These conditions are not easily accommodated by available software or published formulas for power calculation...
  11. ncbi request reprint Effects of exposure measurement error when an exposure variable is constrained by a lower limit
    David B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 8050, USA
    Am J Epidemiol 157:355-63. 2003
    ....
  12. pmc Integrating informative priors from experimental research with Bayesian methods: an example from radiation epidemiology
    Ghassan Hamra
    Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 7435, USA
    Epidemiology 24:90-5. 2013
    ..We present a method to help bridge the gap between animal and cellular studies and epidemiologic research by specification of an order-constrained prior. We illustrate this approach using an example from radiation epidemiology...
  13. doi request reprint Increased lung cancer mortality among chrysotile asbestos textile workers is more strongly associated with exposure to long thin fibres
    Dana Loomis
    Department of Epidemiology, College of Public Health, 984395 University of Nebraska Medical Center, Omaha, NE 68198, USA
    Occup Environ Med 69:564-8. 2012
    ..Animal data and physical models suggest that the carcinogenicity of asbestos fibres is related to their size and shape...
  14. pmc Illustrating bias due to conditioning on a collider
    Stephen R Cole
    Department of Epidemiology, UNC Gillings School of Global Public Health, Chapel Hill, NC, USA
    Int J Epidemiol 39:417-20. 2010
    ..In both examples, conditioning on the common effect imparts an association between two otherwise independent variables; we call this selection bias...
  15. doi request reprint Lung cancer mortality in North Carolina and South Carolina chrysotile asbestos textile workers
    Leslie Elliott
    Department of Epidemiology, College of Public Health, University of Nebraska Medical Center, Omaha, Nebraska, USA
    Occup Environ Med 69:385-90. 2012
    ..The authors conducted pooled analyses of the cohorts and investigated the exposure-disease relationship using uniform cohort inclusion criteria and statistical methods...
  16. doi request reprint Ionizing radiation and leukemia mortality among Japanese Atomic Bomb Survivors, 1950-2000
    David Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina, Chapel Hill, NC 27599, USA
    Radiat Res 172:368-82. 2009
    ..005 Gy was 0.34, suggesting that the effect of the atomic bombings on leukemia mortality has persisted in this cohort for more than five decades...
  17. doi request reprint Occupational injuries among aides and nurses in acute care
    R L Rodríguez-Acosta
    Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
    Am J Ind Med 52:953-64. 2009
    ..Our objective was to assess risk of work-related injuries in an acute care setting while contrasting injuries of aides and nurses...
  18. pmc Detecting disease outbreaks using local spatiotemporal methods
    Yingqi Zhao
    Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA
    Biometrics 67:1508-17. 2011
    ....
  19. ncbi request reprint Plutonium-related work and cause-specific mortality at the United States Department of Energy Hanford Site
    Steve Wing
    Department of Epidemiology, School of Public Health, University of North Carolina, Chapel Hill, North Carolina 27599 7400, USA
    Am J Ind Med 45:153-64. 2004
    ..Health effects of working with plutonium remain unclear. Plutonium workers at the United States Department of Energy (US-DOE) Hanford Site in Washington State, USA were evaluated for increased risks of cancer and non-cancer mortality...
  20. doi request reprint Dose reconstruction for an occupational cohort at the Savannah River nuclear facility: evaluation of a hybrid method
    Ghassan Hamra
    Department of Environmental Sciences and Engineering, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 7400, USA
    Radiat Prot Dosimetry 131:188-97. 2008
    ..The collective estimated tritium dose was 4319 mSv compared with the total known tritium dose of 17 382 mSv. The correlation (R2) of estimated tritium dose with known tritium dose was 0.68...
  21. doi request reprint Discrete time hazards models for occupational and environmental cohort analyses
    D B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA
    Occup Environ Med 67:67-71. 2010
    ..To discuss the use of discrete time hazards models for the analysis of occupational and environmental cohort data...
  22. pmc The impact on relative risk estimates of inconsistencies between ICD-9 and ICD-10
    D B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
    Occup Environ Med 63:734-40. 2006
    ..The ratio of these relative risks is referred to as the coefficient of bias...
  23. ncbi request reprint Greater sensitivity to ionizing radiation at older age: follow-up of workers at Oak Ridge National Laboratory through 1990
    D B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill 27599 8050, USA
    Int J Epidemiol 28:428-36. 1999
    ..Since biological changes occur as adults age, a potentially important question in these investigations is whether sensitivity to the carcinogenic effects of ionizing radiation changes with age at exposure...
  24. pmc Age at exposure to ionising radiation and cancer mortality among Hanford workers: follow up through 1994
    S Wing
    Department of Epidemiology, School of Public Health, University of North Carolina, Chapel Hill, NC 27599 7400, USA
    Occup Environ Med 62:465-72. 2005
    ..Studies of workers at the plutonium production factory in Hanford, WA have led to conflicting conclusions about the role of age at exposure as a modifier of associations between ionising radiation and cancer...
  25. pmc Poisson regression analysis of ungrouped data
    D Loomis
    Department of Epidemiology, University of North Carolina, Chapel Hill, NC 27599 7435, USA
    Occup Environ Med 62:325-9. 2005
    ..It is typically implemented as a grouped method of data analysis in which all exposure and covariate information is categorised and person-time and events are tabulated...
  26. pmc Radiation and mortality of workers at Oak Ridge National Laboratory: positive associations for doses received at older ages
    D B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599 8050, USA
    Environ Health Perspect 107:649-56. 1999
    ..These findings suggest increases in cancer mortality associated with low-level external exposure to ionizing radiation and potentially greater sensitivity to the carcinogenic effects of ionizing radiation with older ages at exposure...
  27. ncbi request reprint Methods for investigating age differences in the effects of prolonged exposures
    D B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill 27599 8050, USA
    Am J Ind Med 33:123-30. 1998
    ..These methods are illustrated with occupational cohort data for employees of Oak Ridge National Laboratory. The methods presented in this paper should facilitate examination of the effects of aging on sensitivity to prolonged exposures...
  28. pmc Deindustrialisation and the long term decline in fatal occupational injuries
    D Loomis
    Department of Epidemiology, School of Public Health, University of North Carolina, Chapel Hill, NC 27599 7435, USA
    Occup Environ Med 61:616-21. 2004
    ..To examine the extent to which deindustrialisation accounts for long term trends in occupational injury risk in the United States...
  29. doi request reprint Physical assault among nursing staff employed in acute care
    R L Rodríguez-Acosta
    Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
    Work 35:191-200. 2010
    ..63, 95% CI: 1.51-8.71) units. Interventions targeting Psychiatry, Neurology, and Rehabilitation units, and younger and newly hired staff are warranted. More detailed data are needed to develop targeted interventions...
  30. ncbi request reprint Cancer risk from low-level ionizing radiation: the role of age at exposure
    D B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina, Chapel Hill 27599-8050, USA
    Occup Med 16:191-218. 2001
    ..Further attention to modifying factors in radiation-cancer associations, such as age at exposure, may help to protect workers and the public by improving our understanding of sensitivity variation within populations...
  31. pmc Markov chain Monte Carlo: an introduction for epidemiologists
    Ghassan Hamra
    Division of Environment and Radiation, International Agency for Research on Cancer, Lyon, France
    Int J Epidemiol 42:627-34. 2013
    ..We hope that this brief tutorial will encourage epidemiologists to consider MCMC approaches as part of their analytic tool-kit...
  32. pmc Relation between malodor, ambient hydrogen sulfide, and health in a community bordering a landfill
    Christopher D Heaney
    Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, CB 7435, Chapel Hill, NC 27599 7435, USA
    Environ Res 111:847-52. 2011
    ..Municipal solid waste landfills are sources of air pollution that may affect the health and quality of life of neighboring communities...
  33. pmc RNABC: forward kinematics to reduce all-atom steric clashes in RNA backbone
    Xueyi Wang
    Department of Computer Science, UNC Chapel Hill, Chapel Hill, NC 27599 3175, USA
    J Math Biol 56:253-78. 2008
    ..Thus, even for these worst cases, nearly half the time RNABC suggested corrections suitable to initiate further crystallographic refinement. The program is available from http://kinemage.biochem.duke.edu ...
  34. doi request reprint Occupational risk factors for non-Hodgkin's lymphoma: a population-based case-control study in Northern Germany
    David B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA
    Am J Ind Med 51:258-68. 2008
    ..To identify occupational factors associated with non-Hodgkin's lymphoma (NHL)...
  35. ncbi request reprint Fatal occupational injuries among self-employed workers in North Carolina
    Maria C Mirabelli
    Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599 7435, USA
    Am J Ind Med 44:182-90. 2003
    ..This analysis was conducted to describe the demographic and occupational characteristics, as well as injuries, activities, and occupations of self-employed workers who are fatally injured on the job...
  36. pmc Heat-related fatalities in North Carolina
    Maria C Mirabelli
    University of North Carolina at Chapel Hill, School of Public Health, Department of Epidemiology, CB 8050, Chapel Hill, NC 27599 8050, USA
    Am J Public Health 95:635-7. 2005
    ..Of the occupational heat-related fatalities (n=40), 45% occurred among farm laborers, many of whom died unnoticed and without medical attention...
  37. ncbi request reprint Lung cancer mortality among workers at a nuclear materials fabrication plant
    David B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina, Chapel Hill, North Carolina 27599 7435, USA
    Am J Ind Med 49:102-11. 2006
    ....
  38. ncbi request reprint Use of multiple cause of death data in cancer mortality analyses
    David B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina, Chapel Hill, North Carolina 27599 7435, USA
    Am J Ind Med 49:683-9. 2006
    ..In a cancer mortality study, the decision of whether to define a study outcome via underlying cause of death (UCD) or via multiple cause of death (MCD) information may impact relative risk (RR) estimates and associated confidence intervals...
  39. ncbi request reprint Evaluation of external radiation dosimetry records at the Savannah River Site, 1951-1989
    David B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
    J Expo Sci Environ Epidemiol 17:13-24. 2007
    ..7 person-Sv. The consistency of dosimetry practices at SRS and the completeness of historical dosimetry records are supportive of their use in epidemiologic research...
  40. pmc Temporal variation in the association between benzene and leukemia mortality
    David B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA
    Environ Health Perspect 116:370-4. 2008
    ..Benzene is a human carcinogen. Exposure to benzene occurs in occupational and environmental settings...
  41. ncbi request reprint Mortality among workers at the Savannah River Site
    David B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA
    Am J Ind Med 50:881-91. 2007
    ..We therefore compared the observed deaths among workers to expectations based upon death rates for referent populations...
  42. ncbi request reprint Analyses of case-control data for additional outcomes
    David B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina, Chapel Hill, NC 27599 7435, USA
    Epidemiology 18:441-5. 2007
    ..Weighted logistic regression methods are readily implemented using available statistical packages...
  43. pmc Childhood leukemia in the vicinity of the Geesthacht nuclear establishments near Hamburg, Germany
    Wolfgang Hoffmann
    Institute for Community Medicine, Section Epidemiology of Health Care and Community Health, Ernst Moritz Arndt University of Greifswald, Greifswald, Germany
    Environ Health Perspect 115:947-52. 2007
    ..Since then, several new cases have been reported. Recently a possible accidental release of radionuclides in 1986 was hypothesized...
  44. ncbi request reprint Leukemia mortality among workers at the Savannah River Site
    David B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
    Am J Epidemiol 166:1015-22. 2007
    ..The temporal patterns of association appear consistent with those in studies of populations exposed at higher dose rates...
  45. ncbi request reprint Temporal patterns of association between cigarette smoking and leukemia risk
    David B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
    Cancer Causes Control 19:43-50. 2008
    ..To evaluate variation in smoking-related leukemia risk with time-since-exposure...
  46. doi request reprint Re: solid cancer incidence in atomic bomb survivors exposed in utero or as young children
    David B Richardson
    J Natl Cancer Inst 100:1482-3. 2008

Research Grants14

  1. Cohort analysis methods for occupational cancer studies
    David B Richardson; Fiscal Year: 2010
    ....
  2. Long-term Effects of Occupational Radiation Exposures
    David Richardson; Fiscal Year: 2009
    ....
  3. Cohort analysis methods for occupational cancer studies
    David Richardson; Fiscal Year: 2009
    ..The proposal addresses the NORA priority area on cancer research methods. The results of the proposed research will further improve the analytic methods used in occupational cancer studies. ..
  4. Mechanistic models in occupational cancer epidemiology
    David Richardson; Fiscal Year: 2007
    ..The expectation is that use of knowledge about biological processes of carcinogenesis will improve the ability to identify and understand the effects of occupational carcinogens. ..
  5. Cohort analysis methods for occupational cancer studies
    David Richardson; Fiscal Year: 2007
    ..The proposal addresses the NORA priority area on cancer research methods. The results of the proposed research will further improve the analytic methods used in occupational cancer studies. ..
  6. Chrysotile: New Exposure Indices and Cancer Epidemiology
    David Richardson; Fiscal Year: 2006
    ..abstract_text> ..
  7. Susceptibility and occupational radiation risks
    David Richardson; Fiscal Year: 2004
    ..In this way, the proposed work will substantially strengthen the available epidemiological information about low level radiation effects in USDOE cohorts. ..
  8. Time-Factors in Exposure Effects Among Uranium Workers
    David Richardson; Fiscal Year: 2003
    ....
  9. Long-term Effects of Occupational Radiation Exposures
    David B Richardson; Fiscal Year: 2010
    ....