Journal article
Modeling of successive cancer risks in Lynch syndrome families in the presence of competing risks using copulas
YH Choi, L Briollais, AK Win, J Hopper, D Buchanan, M Jenkins, L Lakhal-Chaieb
Biometrics | WILEY | Published : 2017
DOI: 10.1111/biom.12561
Abstract
In this article, we propose an association model to estimate the penetrance (risk) of successive cancers in the presence of competing risks. The association between the successive events is modeled via a copula and a proportional hazards model is specified for each competing event. This work is motivated by the analysis of successive cancers for people with Lynch Syndrome in the presence of competing risks. The proposed inference procedure is adapted to handle missing genetic covariates and selection bias, induced by the data collection protocol of the data at hand. The performance of the proposed estimation procedure is evaluated by simulations and its use is illustrated with data from the ..
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Grants
Awarded by National Cancer Institute
Funding Acknowledgements
This work was supported by a grant from the Canadian Institute of Health Research (CIHR) 201209MOP-287763-G-CEAD-111451.This work was also supported by grant UM1 CA167551 from the National Cancer Institute (NCI) and through cooperative agreements with the following Colorectal Cancer Family Registry (CCFR) centers: Australasian CCFR (U01 CA074778 and U01/U24 CA097735), Mayo Clinic Cooperative Family Registry for Colon Cancer Studies (U01/U24 CA074800), Ontario Familial Colorectal Cancer Registry (U01/U24 CA074783), Seattle CCFR (U01/U24 CA074794), the University of Hawaii CCFR (U01/U24 CA074806), and USC Consortium CCFR (U01/U24 CA074799).Seattle CCFR research was also supported by the Cancer Surveillance System of the Fred Hutchinson Cancer Research Center, which was funded by Control Nos. N01-CN67009 (1996-2003) and N01-PC-35142 (2003-2010) and Contract No. HHSN2612013000121 (2010-2017) from the Surveillance, Epidemiology, and End Results (SEER) Program of the NCI with additional support from the Fred Hutchinson Cancer Research Center.The collection of cancer incidence data for the State of Hawaii used in this study was supported by the Hawaii Department of Health as part of the statewide cancer reporting program mandated by Hawaii Revised Statutes; the NCI's SEER Program under Control Nos. N01-PC-67001 (1996-2003) and N01-PC-35137 (2003-2010) and Contract Nos. HHSN26120100037C (2010-2013) and HHSN261201300009I (2010-current) awarded to the University of Hawaii. The ideas and opinions expressed herein are those of the author(s) and endorsement by the State of Hawaii, Department of Health, the NCI, SEER Program or their Contractors and Subcontractors is not intended nor should be inferred.The collection of cancer incidence data used in this study was supported by the California Department of Public Health as part of the statewide cancer reporting program mandated by California Health and Safety Code Section 103885; the NCI's SEER Program under contract HHSN261201000140C awarded to the Cancer Prevention Institute of California, contract HHSN261201000035C awarded to the University of Southern California, and contract HHSN261201000034C awarded to the Public Health Institute; and the Centers for Disease Control and Prevention's National Program of Cancer Registries, under agreement U58DP003862-01 awarded to the California Department of Public Health. The ideas and opinions expressed herein are those of the author(s) and endorsement by the State of California, Department of Public Health, the NCI, and the Centers for Disease Control and Prevention or their Contractors and Subcontractors is not intended nor should be inferred.