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dc.contributor.authorRosner, Bernard Alfred
dc.contributor.authorColditz, Graham A.
dc.contributor.authorIglehart, James Dirk
dc.contributor.authorHankinson, Susan Elizabeth
dc.date.accessioned2010-11-08T19:58:20Z
dc.date.issued2008
dc.identifier.citationRosner, Bernard, Graham A. Colditz, James Dirk Iglehart and Susan E. Hankinson. 2008. Risk prediction models with incomplete data with application to prediction of estrogen receptor-positive breast cancer: prospective data from the Nurses' Health Study. Breast Cancer Research 10(4): R55.en_US
dc.identifier.issn1465-5411en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:4551773
dc.description.abstractIntroduction: A number of breast cancer risk prediction models have been developed to provide insight into a woman's individual breast cancer risk. Although circulating levels of estradiol in postmenopausal women predict subsequent breast cancer risk, whether the addition of estradiol levels adds significantly to a model's predictive power has not previously been evaluated. Methods: Using linear regression, the authors developed an imputed estradiol score using measured estradiol levels (the outcome) and both case status and risk factor data (for example, body mass index) from a nested case-control study conducted within a large prospective cohort study and used multiple imputation methods to develop an overall risk model including both risk factor data from the main cohort and estradiol levels from the nested case-control study. Results: The authors evaluated the addition of imputed estradiol level to the previously published Rosner and Colditz log-incidence model for breast cancer risk prediction within the larger Nurses' Health Study cohort. The follow-up was from 1980 to 2000; during this time, 1,559 invasive estrogen receptor-positive breast cancer cases were confirmed. The addition of imputed estradiol levels significantly improved risk prediction; the age-specific concordance statistic increased from 0.635 ± 0.007 to 0.645 ± 0.007 (P < 0.001) after the addition of imputed estradiol. Conclusion: Circulating estradiol levels in postmenopausal women appear to add to other lifestyle factors in predicting a woman's individual risk of breast cancer.en_US
dc.description.sponsorshipStatisticsen_US
dc.language.isoen_USen_US
dc.publisherBioMed Centralen_US
dc.relation.isversionofhttp://dx.doi.org/10.1186/bcr2110en_US
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC2575548/pdf/en_US
dash.licenseOAP
dc.titleRisk Prediction Models with Incomplete Data with Application to Prediction of Estrogen Receptor-Positive Breast Cancer: Prospective Data from the Nurses' Health Studyen_US
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden_US
dc.relation.journalBreast Cancer Researchen_US
dash.depositing.authorRosner, Bernard Alfred
dc.date.available2010-11-08T19:58:20Z
dash.affiliation.otherDepartment of Medicine, Brigham and Women's Hospital and Harvard Medical Schoolen_US
dash.affiliation.otherDepartment of Biostatistics, Harvard School of Public Healthen_US
dash.affiliation.otherDepartment of Cancer Biology, Dana Farber-Cancer Institute and Harvard Medical School and Department of Surgery, Brigham and Women's Hospital and Harvard Medical Schoolen_US
dash.affiliation.otherDepartment of Epidemiology, Harvard School of Public Healthen_US
dc.identifier.doi10.1186/bcr2110*
dash.contributor.affiliatedIglehart, James
dash.contributor.affiliatedRosner, Bernard
dash.contributor.affiliatedColditz, Graham
dash.contributor.affiliatedHankinson, Susan


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