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

Bryan Langholz; Duncan C Thomas; Marilyn Stovall; Susan A Smith; John D Boice Jr; Roy E Shore; Leslie Bernstein; Charles F Lynch; Xinbo Zhang; Jonine L Bernstein

doi:10.1111/j.1541-0420.2008.01096.x

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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

Journal article

Peer reviewed

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

Bryan Langholz, Duncan C Thomas, Marilyn Stovall, Susan A Smith, John D Boice Jr, Roy E Shore, Leslie Bernstein, Charles F Lynch, Xinbo Zhang and Jonine L Bernstein

Biometrics, Vol.65(2), pp.599-608

06/2009

DOI: 10.1111/j.1541-0420.2008.01096.x

PMCID: PMC2728135

PMID: 18647297

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http://doi.org/10.1111/j.1541-0420.2008.01096.xView

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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.

Algorithms

Risk Assessment - methods

Data Interpretation, Statistical

Reproducibility of Results

Humans

Risk Factors

Body Burden

Radiotherapy, Conformal - statistics & numerical data

Models, Statistical

Biometry - methods

Incidence

Radiation Injuries - epidemiology

Breast Neoplasms - radiotherapy

Computer Simulation

Sensitivity and Specificity

Female

Breast Neoplasms - epidemiology

Details

Title: Subtitle: 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
Creators: Bryan Langholz - Department of Preventive Medicine, University of Southern California, Keck School of Medicine, Los Angeles, California 90089, USA. langholz@usc.edu
Duncan C Thomas
Marilyn Stovall
Susan A Smith
John D Boice Jr
Roy E Shore
Leslie Bernstein
Charles F Lynch
Xinbo Zhang
Jonine L Bernstein
Resource Type: Journal article
Publication Details: Biometrics, Vol.65(2), pp.599-608
DOI: 10.1111/j.1541-0420.2008.01096.x
PMID: 18647297
PMCID: PMC2728135
NLM abbreviation: Biometrics
ISSN: 1541-0420
eISSN: 1541-0420
Publisher: United States
Grant note: R01 CA129639 / NCI NIH HHS P30 ES007048-109004 / NIEHS NIH HHS U01 CA083178 / NCI NIH HHS R01 CA042949-19 / NCI NIH HHS U01 CA083178-06 / NCI NIH HHS CA97397 / NCI NIH HHS R01 CA097397 / NCI NIH HHS CA42949 / NCI NIH HHS R01 CA097397-05 / NCI NIH HHS 5P30 ES07048 / NIEHS NIH HHS P30 ES007048 / NIEHS NIH HHS R01 CA042949 / NCI NIH HHS
Language: English
Date published: 06/2009
Academic Unit: Epidemiology
Record Identifier: 9983995138302771

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