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


Authors: Langholz, B.; Thomas, D. C.; Stovall, M.; Smith, S. A.; Boice, J. D. Jr; Shore, R. E.; Bernstein, L.; Lynch, C. F.; Zhang, X.; Bernstein, J. L.
Article Title: 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
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. © 2008, The International Biometric Society.
Keywords: controlled study; treatment outcome; major clinical study; case-control studies; cancer radiotherapy; comparative study; radiation dose; sensitivity and specificity; accuracy; reproducibility of results; breast cancer; incidence; risk factors; breast neoplasms; algorithms; radiation exposure; radiation response; risk assessment; mathematical model; statistical analysis; data interpretation, statistical; models, statistical; radiation injuries; computer simulation; radiotherapy, conformal; tumor; epidemiology; body burden; conditional likelihood; counter-matching; counting processes; measurement error; multivariate survival data; partial likelihood; radiation epidemiology; dose-response relationship; estimation method; biometry
Journal Title: Biometrics
Volume: 65
Issue: 2
ISSN: 0006-341X
Publisher: Wiley Blackwell  
Date Published: 2009-01-01
Start Page: 599
End Page: 608
Language: English
DOI: 10.1111/j.1541-0420.2008.01096.x
PUBMED: 18647297
PROVIDER: scopus
PMCID: PMC2728135
DOI/URL:
Notes: --- - "Cited By (since 1996): 1" - "Export Date: 30 November 2010" - "CODEN: BIOMA" - "Source: Scopus"
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  1. Jonine L Bernstein
    142 Bernstein
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