David Richardson

Summary

Affiliation: University of North Carolina
Country: USA

Publications

  1. pmc Seasonal modification of the association between temperature and adult emergency department visits for asthma: a case-crossover study
    Jessie P Buckley
    Department of Epidemiology, University of North Carolina at Chapel Hill, McGavran Greenberg Hall, Chapel Hill, NC 27599 7435, USA
    Environ Health 11:55. 2012
  2. doi request reprint Mortality among workers at Oak Ridge National Laboratory
    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 56:725-32. 2013
  3. pmc Missing doses in the life span study of Japanese atomic bomb survivors
    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 177:562-8. 2013
  4. doi request reprint Regression models for the effects of exposure rate and cumulative exposure
    David B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
    Epidemiology 23:892-9. 2012
  5. pmc Background stratified Poisson regression analysis of cohort data
    David B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
    Radiat Environ Biophys 51:15-22. 2012
  6. doi request reprint Model averaging in the analysis of leukemia mortality among Japanese A-bomb survivors
    David B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
    Radiat Environ Biophys 51:93-5; discussion 97-100. 2012
  7. 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
  8. 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
  9. 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
  10. 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

Detail Information

Publications63

  1. pmc Seasonal modification of the association between temperature and adult emergency department visits for asthma: a case-crossover study
    Jessie P Buckley
    Department of Epidemiology, University of North Carolina at Chapel Hill, McGavran Greenberg Hall, Chapel Hill, NC 27599 7435, USA
    Environ Health 11:55. 2012
    ..However, such models may fail to adequately control for confounding if temperature effects are seasonal, since case-crossover analyses rarely account for interactions between matching factors (such as calendar month) and temperature...
  2. doi request reprint Mortality among workers at Oak Ridge National Laboratory
    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 56:725-32. 2013
    ..We compared the observed deaths among workers to expectations based upon US mortality rates...
  3. pmc Missing doses in the life span study of Japanese atomic bomb survivors
    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 177:562-8. 2013
    ..16, 95% confidence interval: 1.51, 3.08; and leukemia rate ratio = 4.28, 95% confidence interval: 1.72, 10.67). Accounting for missing dose and late entry should reduce bias in estimated dose-mortality associations...
  4. doi request reprint Regression models for the effects of exposure rate and cumulative exposure
    David B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
    Epidemiology 23:892-9. 2012
    ..23 (0.53-3.76). The proposed approach may provide better understanding of relationships between a protracted exposure and disease and is readily implemented using existing statistical software...
  5. pmc Background stratified Poisson regression analysis of cohort data
    David B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
    Radiat Environ Biophys 51:15-22. 2012
    ....
  6. doi request reprint Model averaging in the analysis of leukemia mortality among Japanese A-bomb survivors
    David B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
    Radiat Environ Biophys 51:93-5; discussion 97-100. 2012
    ....
  7. 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...
  8. 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...
  9. 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...
  10. 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
    ....
  11. pmc Estimation of the relative excess risk due to interaction and associated confidence bounds
    David B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina, Chapel Hill, NC 27599, USA
    Am J Epidemiol 169:756-60. 2009
    ..The approach presented in this paper should facilitate estimation of RERI and associated likelihood-based confidence bounds, by using standard statistical packages...
  12. 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...
  13. doi request reprint Multistage modeling of leukemia in benzene workers: a simple approach to fitting the 2-stage clonal expansion model
    David B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina, Chapel Hill, NC 27599, USA
    Am J Epidemiol 169:78-85. 2009
    ..The illustrative analyses of leukemia mortality among rubber hydrochloride workers suggest that the effect of benzene on leukemia risk is due to an exposure-induced increase in the proliferation of initiated cells...
  14. 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...
  15. 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...
  16. 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...
  17. 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)...
  18. doi request reprint Exposure to ionizing radiation in adulthood and thyroid cancer incidence
    David B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina, Chapel Hill, NC, USA
    Epidemiology 20:181-7. 2009
    ..This paper examines the association between radiation dose and thyroid cancer incidence among Japanese survivors who were adults at the time of the atomic bombings of Hiroshima and Nagasaki...
  19. doi request reprint Lung cancer in chrysotile asbestos workers: analyses based on the two-stage clonal expansion model
    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 20:917-23. 2009
    ..To evaluate the magnitude and temporal pattern of lung cancer risk following exposure to chrysotile asbestos...
  20. pmc Latency models for analyses of protracted exposures
    David B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina, Chapel Hill, North Carolina, USA
    Epidemiology 20:395-9. 2009
    ..This approach should facilitate fitting models to assess variation with time since exposure in the effect of a protracted environmental or occupational exposure...
  21. 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...
  22. pmc Lagging exposure information in cumulative exposure-response analyses
    David B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, NC 27599, USA
    Am J Epidemiol 174:1416-22. 2011
    ..Lagging exposure assignment by a constant will lead to bias toward the null if the distribution of latency periods is not a fixed constant. Direct estimation of latency periods can minimize bias and improve confidence interval coverage...
  23. doi request reprint Evidence of confounding by smoking of associations between radiation and lung cancer mortality among workers at the Savannah River Site
    David B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina, Chapel Hill, North Carolina 27599, USA
    Am J Ind Med 54:421-7. 2011
    ..This study investigates confounding by cigarette smoking of associations between occupational exposure to ionizing radiation and lung cancer mortality among workers at the Savannah River Site (SRS)...
  24. pmc Hierarchical latency models for dose-time-response associations
    David B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina, Chapel Hill, NC 27599 7435, USA
    Am J Epidemiol 173:695-702. 2011
    ....
  25. doi request reprint Ionizing radiation and kidney cancer among Japanese atomic bomb survivors
    David B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
    Radiat Res 173:837-42. 2010
    ..The results are suggestive of differences between the different regions of the kidney in sensitivity to the carcinogenic effects of ionizing radiation...
  26. doi request reprint Occupational exposures and lung cancer: adjustment for unmeasured confounding by smoking
    David B Richardson
    Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
    Epidemiology 21:181-6. 2010
    ..Several authors have recommended sensitivity analyses to assess confounding by smoking, which require speculation about the prevalence of smokers in different occupational exposure groups...
  27. 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...
  28. 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...
  29. pmc Positive associations between ionizing radiation and lymphoma mortality among men
    David B Richardson
    Department of Epidemiology, University of North Carolina at Chapel Hill, 27599, USA
    Am J Epidemiol 169:969-76. 2009
    ..In each cohort, evidence of a dose-response association was primarily observed more than 35 years after irradiation. These findings suggest a protracted induction and latency period for radiation-induced lymphoma mortality...
  30. doi request reprint A simple approach for fitting linear relative rate models in SAS
    David B Richardson
    Department of Epidemiology, CB 7435, School of Public Health, University of North Carolina, Chapel Hill, NC 27599, USA
    Am J Epidemiol 168:1333-8. 2008
    ..Cary, North Carolina). This approach is illustrated via analyses of data from a study of mortality in a cohort of South Carolina asbestos textile workers (1940-2001)...
  31. 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...
  32. 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...
  33. 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...
  34. 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...
  35. 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...
  36. 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...
  37. 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...
  38. 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...
  39. 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
    ....
  40. 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...
  41. 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...
  42. 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...
  43. 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...
  44. 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...
  45. 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...
  46. 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...
  47. 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...
  48. 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...
  49. 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...
  50. 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...
  51. 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...
  52. pmc Markov Chain Monte Carlo: an introduction for epidemiologists
    Ghassan Hamra
    Division of Environment and Radiation, International Agency for Research on Cancer, Lyon, France, Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA, and Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
    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...
  53. 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...
  54. 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 ...
  55. 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...
  56. 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...
  57. 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
    ....
  58. 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...
  59. 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...
  60. 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...
  61. 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)...
  62. 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...
  63. 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