Statistical issues in radiation dose-response analysis of employees of the nuclear industry in Oak Ridge, Tennessee

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Description

Poisson regression methods are used to describe dose-response relations for cancer mortality for a subcohort of 28,347 white male radiation workers. Age specific baseline rates are described using both internal and external (US white male) rates. Regression analyses are based on an analytic data structure (ADS) that consists of a table of observed deaths, expected deaths, and person-years at risk for each combination of levels of seven risk factors. The factors are socioeconomic status, length of employment, birth cohort, age at risk, facility, internal exposure, and external exposure. Each observation in the ADS consists of the index value of each ... continued below

Physical Description

8 p.

Creation Information

Frome, E.L. & Watkins, J.P. November 1, 1997.

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This report is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. More information about this report can be viewed below.

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Authors

  • Frome, E.L. Oak Ridge National Lab., TN (United States)
  • Watkins, J.P. Oak Ridge Inst. for Science and Education, TN (United States). Center for Epidemiologic Research

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Description

Poisson regression methods are used to describe dose-response relations for cancer mortality for a subcohort of 28,347 white male radiation workers. Age specific baseline rates are described using both internal and external (US white male) rates. Regression analyses are based on an analytic data structure (ADS) that consists of a table of observed deaths, expected deaths, and person-years at risk for each combination of levels of seven risk factors. The factors are socioeconomic status, length of employment, birth cohort, age at risk, facility, internal exposure, and external exposure. Each observation in the ADS consists of the index value of each of the stratifying factors, the observed deaths, the expected deaths, the person-years, and the ten year lagged average cumulative dose. Regression diagnostics show that a linear exponential relative risk model is not appropriate for these data. Results are presented using a main effects model for factors other than external radiation, and an excess relative risk term for cumulative external radiation dose.

Physical Description

8 p.

Notes

INIS; OSTI as DE98001063

Source

  • 1997 Joint American Statistical Association (ASA) meeting, Anaheim, CA (United States), 10-14 Aug 1997

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  • Other: DE98001063
  • Report No.: ORNL/CP--94821
  • Report No.: CONF-9708110--
  • Grant Number: AC05-76OR00033;AC05-96OR22464
  • DOI: 10.2172/554803 | External Link
  • Office of Scientific & Technical Information Report Number: 554803
  • Archival Resource Key: ark:/67531/metadc698824

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Creation Date

  • November 1, 1997

Added to The UNT Digital Library

  • Aug. 14, 2015, 8:43 a.m.

Description Last Updated

  • Aug. 4, 2016, 6:38 p.m.

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Frome, E.L. & Watkins, J.P. Statistical issues in radiation dose-response analysis of employees of the nuclear industry in Oak Ridge, Tennessee, report, November 1, 1997; Tennessee. (digital.library.unt.edu/ark:/67531/metadc698824/: accessed August 19, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.