skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Quantifying Cancer Risk from Radiation: Quantifying Cancer Risk from Radiation

Abstract

Not provided.

Authors:
ORCiD logo [1];  [1]
  1. Department of Epidemiology, University of North Carolina Chapel Hill, Chapel Hill NC USA
Publication Date:
Research Org.:
National Academy of Sciences, Washington, DC (United States)
Sponsoring Org.:
USDOE Office of Environment, Health, Safety and Security (AU)
OSTI Identifier:
1541622
DOE Contract Number:  
HS0000031
Resource Type:
Journal Article
Journal Name:
Risk Analysis
Additional Journal Information:
Journal Volume: 38; Journal Issue: 7; Journal ID: ISSN 0272-4332
Publisher:
Wiley
Country of Publication:
United States
Language:
English
Subject:
Public, Environmental & Occupational Health; Mathematics; Mathematical Methods In Social Sciences

Citation Formats

Keil, Alexander P., and Richardson, David B. Quantifying Cancer Risk from Radiation: Quantifying Cancer Risk from Radiation. United States: N. p., 2017. Web. doi:10.1111/risa.12947.
Keil, Alexander P., & Richardson, David B. Quantifying Cancer Risk from Radiation: Quantifying Cancer Risk from Radiation. United States. doi:10.1111/risa.12947.
Keil, Alexander P., and Richardson, David B. Wed . "Quantifying Cancer Risk from Radiation: Quantifying Cancer Risk from Radiation". United States. doi:10.1111/risa.12947.
@article{osti_1541622,
title = {Quantifying Cancer Risk from Radiation: Quantifying Cancer Risk from Radiation},
author = {Keil, Alexander P. and Richardson, David B.},
abstractNote = {Not provided.},
doi = {10.1111/risa.12947},
journal = {Risk Analysis},
issn = {0272-4332},
number = 7,
volume = 38,
place = {United States},
year = {2017},
month = {12}
}

Works referenced in this record:

Studies of the Mortality of Atomic Bomb Survivors, Report 14, 1950–2003: An Overview of Cancer and Noncancer Diseases
journal, March 2012

  • Ozasa, Kotaro; Shimizu, Yukiko; Suyama, Akihiko
  • Radiation Research, Vol. 177, Issue 3
  • DOI: 10.1667/RR2629.1

Solid Cancer Incidence in Atomic Bomb Survivors: 1958–1998
journal, July 2007

  • Preston, D. L.; Ron, E.; Tokuoka, S.
  • Radiation Research, Vol. 168, Issue 1
  • DOI: 10.1667/RR0763.1

On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9
journal, November 1990

  • Splawa-Neyman, Jerzy; Dabrowska, D. M.; Speed, T. P.
  • Statistical Science, Vol. 5, Issue 4
  • DOI: 10.1214/ss/1177012031

Estimating causal effects of treatments in randomized and nonrandomized studies.
journal, January 1974

  • Rubin, Donald B.
  • Journal of Educational Psychology, Vol. 66, Issue 5
  • DOI: 10.1037/h0037350

Identifiability, Exchangeability, and Epidemiological Confounding
journal, January 1986

  • Greenland, Sander; Robins, James M.
  • International Journal of Epidemiology, Vol. 15, Issue 3
  • DOI: 10.1093/ije/15.3.413

The control of confounding by intermediate variables
journal, June 1989


Marginal Structural Models and Causal Inference in Epidemiology
journal, January 2000


Generalizing Evidence From Randomized Clinical Trials to Target Populations: The ACTG 320 Trial
journal, June 2010

  • Cole, S. R.; Stuart, E. A.
  • American Journal of Epidemiology, Vol. 172, Issue 1
  • DOI: 10.1093/aje/kwq084

Estimating Population Treatment Effects From a Survey Subsample
journal, September 2014

  • Rudolph, Kara E.; Díaz, Iván; Rosenblum, Michael
  • American Journal of Epidemiology, Vol. 180, Issue 7
  • DOI: 10.1093/aje/kwu197

Invited Commentary: Missing Doses in the Life Span Study of Japanese Atomic Bomb Survivors
journal, February 2013

  • Ozasa, K.; Grant, E. J.; Cullings, H. M.
  • American Journal of Epidemiology, Vol. 177, Issue 6
  • DOI: 10.1093/aje/kws474

Marginal Structural Models as a Tool for Standardization
journal, January 2003


Constructing Inverse Probability Weights for Marginal Structural Models
journal, July 2008

  • Cole, S. R.; Hernan, M. A.
  • American Journal of Epidemiology, Vol. 168, Issue 6
  • DOI: 10.1093/aje/kwn164

Adjusted survival curves with inverse probability weights
journal, July 2004

  • Cole, Stephen R.; Hernán, Miguel A.
  • Computer Methods and Programs in Biomedicine, Vol. 75, Issue 1
  • DOI: 10.1016/j.cmpb.2003.10.004

The Accident at the Fukushima Daiichi Nuclear Power Plant in 2011
journal, January 2014


Heterogeneity of variation of relative risk by age at exposure in the Japanese atomic bomb survivors
journal, May 2009


Heterogeneity of variation of relative risk by age at exposure in the Japanese atomic bomb survivors
journal, May 2009


Estimating radiation-induced cancer risks at very low doses: rationale for using a linear no-threshold approach
journal, February 2006

  • Brenner, David J.; Sachs, Rainer K.
  • Radiation and Environmental Biophysics, Vol. 44, Issue 4, p. 253-256
  • DOI: 10.1007/s00411-006-0029-4

Extrapolating Radiation-Induced Cancer Risks from low Doses to very low Doses
journal, January 2009


External Validity: From Do-Calculus to Transportability Across Populations
journal, November 2014

  • Pearl, Judea; Bareinboim, Elias
  • Statistical Science, Vol. 29, Issue 4
  • DOI: 10.1214/14-STS486

On the conversion of solid cancer excess relative risk into lifetime attributable risk
journal, December 2001

  • Kellerer, A. M.; Nekolla, Elke A.; Walsh, Linda
  • Radiation and Environmental Biophysics, Vol. 40, Issue 4
  • DOI: 10.1007/s004110100106

Calculating excess lifetime risk in relative risk models.
journal, July 1990

  • Vaeth, M.; Pierce, D. A.
  • Environmental Health Perspectives, Vol. 87
  • DOI: 10.1289/ehp.908783