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PMID: 18647297 Published · ppublish English Comparative Study Evaluation Study Journal Article Research Support, N.I.H., Extramural

Statistical methods for analysis of radiation effects with tumor and dose location-specific information with application to the WECARE study of asynchronous contralateral breast cancer.

Biometrics ·Vol. 65 ·No. 2 ·2009-06-00 ·Pages 599-608

Langholz B, Thomas DC, Stovall M, Smith SA, Boice JD, Shore RE, Bernstein L, Lynch CF, Zhang X, Bernstein JL

Abstract

Methods for the analysis of individually matched case-control studies with location-specific radiation dose and tumor location information are described. These include likelihood methods for analyses that just use cases with precise location of tumor information and methods that also include cases with imprecise tumor location information. The theory establishes that each of these likelihood based methods estimates the same radiation rate ratio parameters, within the context of the appropriate model for location and subject level covariate effects. The underlying assumptions are characterized and the potential strengths and limitations of each method are described. The methods are illustrated and compared using the WECARE study of radiation and asynchronous contralateral breast cancer.

MeSH Terms
Algorithms Biometry/methods Body Burden Breast Neoplasms/epidemiology,radiotherapy Computer Simulation Data Interpretation, Statistical Female Humans Incidence Models, Statistical Radiation Injuries/epidemiology Radiotherapy, Conformal/statistics & numerical data Reproducibility of Results Risk Assessment/methods Risk Factors Sensitivity and Specificity
Authors & Affiliations
10 authors, click to expand affiliations / ORCID
Langholz Bryan
Department of Preventive Medicine, University of Southern California, Keck School of Medicine, Los Angeles, California 90089, USA. langholz@usc.edu
Thomas Duncan C
Stovall Marilyn
Smith Susan A
Boice John D
Shore Roy E
Bernstein Leslie
Lynch Charles F
Zhang Xinbo
Bernstein Jonine L
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Article Info
Journal
Biometrics
Abbr.
Biometrics
ISSN
1541-0420
Published
2009-06-00
Epub
2008-00-18
Pages
599-608
Language
English
Region
United States
NLM ID
0370625
PMCID
PMC2728135
Subset
IM
Grants
NIEHS NIH HHS · P30 ES007048 · United States
NCI NIH HHS · CA97397 · United States
NCI NIH HHS · R01 CA097397 · United States
NCI NIH HHS · R01 CA097397-05 · United States
NIEHS NIH HHS · P30 ES007048-109004 · United States
NCI NIH HHS · CA42949 · United States
NCI NIH HHS · R01 CA042949 · United States
NIEHS NIH HHS · 5P30 ES07048 · United States
NCI NIH HHS · U01 CA083178 · United States
NCI NIH HHS · U01 CA083178-06 · United States
NCI NIH HHS · R01 CA042949-19 · United States
NCI NIH HHS · R01 CA129639 · United States
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