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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 |
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| Authors: | Langholz Bryan Thomas Duncan C Stovall Marilyn Smith Susan A Boice John D Shore Roy E Bernstein Leslie Lynch Charles F Zhang Xinbo Bernstein Jonine L |
| Institution: | Department of Preventive Medicine, University of Southern California, Keck School of Medicine, 1540 Alcazar Street, CHP-220, Los Angeles, California 90089, U.S.A.;Department of Radiation Physics, Unit 544, The University of Texas M. D. Anderson Cancer Center, 1515 Holcombe, Houston, Texas 77030, U.S.A.;International Epidemiology Institute, 1455 Research Blvd, Suite 550, Rockville, Maryland 20850, U.S.A.;Radiation Effects Research Foundation, 5-2 Hijiyama Park, Minami-ku, Hiroshima 732-0815;Department of Cancer Etiology, City of Hope National Medical Center, Duarte, California, U.S.A.;Department of Epidemiology, University of Iowa, Iowa City, Iowa, U.S.A.;Memorial Sloan-Kettering Cancer Center, Department of Epidemiology and Biostatistics, New York, New York 10021, U.S.A. |
| Abstract: | Summary . 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. |
| Keywords: | Case-control studies Conditional likelihood Counter-matching Counting processes Measurement error Multivariate survival data Partial likelihood Radiation epidemiology |
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