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  • 1
    Language: English
    In: Cancer Research, 12/15/2010, Vol.70(24 Supplement), pp.ES1-1-ES1-1
    ISSN: 0008-5472
    E-ISSN: 1538-7445
    Source: CrossRef
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  • 2
    Language: English
    In: International Journal of Radiation Oncology*Biology*Physics, 10/2017, Vol.99(2), S, pp.S158-S159
    Description: To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.ijrobp.2017.06.366 Byline: T.M. Churilla (1), I. Chowdhury (2), E. Handorf (1), L. Collette (3), S. Collette (3), Y. Dong (1), B.M. Alexander (4), M. Kocher (5), R. Soffietti (6), E.B. Claus (7), S.E. Weiss (1) Author Affiliation: (1) Fox Chase Cancer Center, Philadelphia, PA (2) Geisinger Commonwealth School of Medicine, Scranton, PA (3) EORTC Headquarters, Brussels, Belgium (4) Dana-Farber Cancer Institute, Brigham and Women's Cancer Center, Boston, MA (5) Radiotherapy and Oncology University of Cologne, Cologne, Germany (6) University of Turin and City of Health and Science Hospital, Torino, Italy (7) Dana-Farber/Brigham and Women's Cancer Center, Boston, MA Article Note: (footnote) Author Disclosure: T.M. Churilla: Travel grant; ASTRO Travel Grant, ASTRO. Alumni Society representative; The Commonwealth Medical College. I. Chowdhury: None. E. Handorf: None. L. Collette: None. S. Collette: None. Y. Dong: None. B.M. Alexander: Honoraria; Schlesenger Associates. Consultant; AbbVie, Bristol Myers Squibb. M. Kocher: None. R. Soffietti: None. E.B. Claus: None. S.E. Weiss: reviews abstracts for annual meeting; RSNA.
    Keywords: Surgery – Comparative Analysis ; Radiosurgery – Comparative Analysis ; Medical Schools – Comparative Analysis ; Cancer Metastasis – Comparative Analysis;
    ISSN: 03603016
    E-ISSN: 1879355X
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  • 3
    Language: English
    In: International Journal of Radiation Oncology*Biology*Physics, 09/2014, Vol.90(1), S, p.S290
    Keywords: Medicine;
    ISSN: 03603016
    E-ISSN: 1879355X
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  • 4
    Language: English
    In: International Journal of Radiation Oncology*Biology*Physics, 11/2018, Vol.102(3), S, p.e226
    Keywords: Medicine;
    ISSN: 03603016
    E-ISSN: 1879355X
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  • 5
    Language: English
    In: International Journal of Radiation Oncology*Biology*Physics, 10/2016, Vol.96(2), S, p.E123
    Description: To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.ijrobp.2016.06.2512 Byline: R. Rahman, P.J. Catalano, N.D. Arvold, A.A. Aizer, S.E. Weiss, N. Pinnell, M.C. Horvath, L. Christianson, D.A. Reardon, E.Q. Lee, L. Nayak, M. Rinne, I.F. Dunn, A.J. Golby, M.D. Johnson, E.B. Claus, K.L. Ligon, P. Wen, B.M. Alexander Author Affiliation: (1) Harvard Radiation Oncology Program, Boston, MA (2) Dana-Farber Cancer Institute, Boston, MA (3) Dana-Farber Cancer Institute, Brigham and Women's Cancer Center, Boston, MA (4) Brigham and Women's Hospital/Dana-Farber Cancer Institute, Boston, MA (5) Fox Chase Cancer Center, Philadelphia, PA Article Note: (footnote) Author Disclosure: R. Rahman: None. P.J. Catalano: None. N.D. Arvold: None. A.A. Aizer: None. S.E. Weiss: None. N. Pinnell: None. M.C. Horvath: None. L. Christianson: None. D.A. Reardon: None. E.Q. Lee: None. L. Nayak: Advisory Board; Amgen. M. Rinne: None. I.F. Dunn: None. A.J. Golby: None. M.D. Johnson: None. E.B. Claus: None. K.L. Ligon: None. P. Wen: None. B.M. Alexander: None.
    Keywords: Medicine;
    ISSN: 03603016
    E-ISSN: 1879355X
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  • 6
    Language: English
    In: International Journal of Radiation Oncology*Biology*Physics, 09/2014, Vol.90(1), S, p.S166
    Keywords: Medicine;
    ISSN: 03603016
    E-ISSN: 1879355X
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  • 7
    Language: English
    In: International Journal of Radiation Oncology*Biology*Physics, 10/2017, Vol.99(2), S, p.E107
    Description: To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.ijrobp.2017.06.850 Byline: D.D. Shi (1)(2), N.D. Arvold (3)(4), A.A. Aizer (2), A.D. Norden (2), D.A. Reardon (1)(5), E.Q. Lee (2), L. Nayak (2), I.F. Dunn (2), A.J. Golby (2), M.D. Johnson (2), E.B. Claus (2)(6), A. Chiocca (2), K.L. Ligon (2), P. Wen (7), B.M. Alexander (7) Author Affiliation: (1) Harvard Medical School, Boston, MA (2) Dana-Farber/Brigham and Women's Cancer Center, Boston, MA (3) St. Luke's Cancer Center, and Whiteside Institute for Clinical Research, Duluth, MN (4) University of Minnesota Duluth, Duluth, MN (5) Dana-Farber Cancer Institute and Harvard University School of Medicine, Boston, MA (6) Yale University School of Public Health, New Haven, CT (7) Dana-Farber Cancer Institute, Brigham and Women's Cancer Center, Boston, MA Article Note: (footnote) Author Disclosure: D.D. Shi: None. N.D. Arvold: None. A.A. Aizer: None. A.D. Norden: Consultant; BMS, Celldex, Vascular Biogenics. D.A. Reardon: Research Grant; Celldex, Inovio, Midatech. Speaker's Bureau; Merck/Schering, Roche/Genentech. Advisory Board; Abbvie, Bristol Myers Squibb, Cavion, Celldex, EMD Serono, Juno Pharmaceuticals, Momenta Pharmaceuticals, Novartis, Novocure, Oxigene, Regeneron, Roche/Genentech, Stemline. E.Q. Lee: Consultant; Roche/Genentech. L. Nayak: Consultant; Amgen. I.F. Dunn: None. A.J. Golby: None. M.D. Johnson: None. E.B. Claus: None. A. Chiocca: None. K.L. Ligon: None. P. Wen: Consultant; Agios, Angiochem. Advisory Board; AbbVie, Astra Zeneca, Cavion. B.M. Alexander: Honoraria; Schlesenger Associates. Consultant; Abbvie, Bristol Myers Squibb.
    Keywords: Gliomas – Analysis ; Medical Schools – Analysis ; Angiogenesis Inhibitors – Analysis;
    ISSN: 03603016
    E-ISSN: 1879355X
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  • 8
    Language: English
    In: International Journal of Radiation Oncology*Biology*Physics, 09/2014, Vol.90(1), S, pp.S320-S321
    Keywords: Medicine;
    ISSN: 03603016
    E-ISSN: 1879355X
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  • 9
    Language: English
    In: International Journal of Radiation Oncology*Biology*Physics, 11/2015, Vol.93(3), S, p.E58
    Description: To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.ijrobp.2015.07.690 Byline: Y. Liu, B.M. Alexander, Y.H. Chen, M.C. Horvath, A.A. Aizer, E.B. Claus, I.F. Dunn, A.J. Golby, M.D. Johnson, S. Friesen, E. Mannarino, M. Wagar, F.L. Hacker, N.D. Arvold Author Affiliation: (1) Dana-Farber Cancer Institute, Brigham and Women's Cancer Center, Boston, MA (2) Dana-Farber/Brigham & Women's Cancer Center, Boston, MA (3) Dana-Farber Cancer Institute and Brigham and Women's Cancer Center, Boston, MA (4) Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston, MA Article Note: (footnote) Author Disclosure: Y. Liu: None. B.M. Alexander: None. Y. Chen: None. M.C. Horvath: None. A.A. Aizer: None. E.B. Claus: None. I.F. Dunn: None. A.J. Golby: None. M.D. Johnson: None. S. Friesen: None. E. Mannarino: None. M. Wagar: None. F.L. Hacker: None. N.D. Arvold: None.
    Keywords: Cancer Metastasis – Care and Treatment;
    ISSN: 03603016
    E-ISSN: 1879355X
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  • 10
    Article
    Article
    Language: English
    In: Statistical Methods in Medical Research, 12/01/2000, Vol.9(6), pp.589-601
    Description: Advances in the identification and treatment of genetically transmitted diseases have lead to an increased need for reliable estimates of genetic susceptibility risk. These estimates are used in clinic settings to identify individuals at increased risk of being a carrier of a disease susceptibility allele as well as to define the probability of developing a particular disease given one is a carrier. Accurate assessment of these probabilities is extremely important given the implications for medical decision making including the identification of patients who might benefit from genetic counselling or from entry into clinical trials. A wide range of risk models has been proposed including those that utilize logistic regression, Cox proportional hazards regression, log-incidence models, and Bayesian modelling. The specific data used to create the various risk models varies by disease and may include molecular, epidemiologic, and clinical information although, in general, family history remains the primary variable of interest, particularly for those diseases for which a susceptibility allele(s) has yet to be identified. When permitted by sample size, researchers also attempt to measure the effect of any gene-environment interaction. In this paper we give an overview of the various definitions of risk as well as several of the more frequently used methods of risk estimation in genetic epidemiology at present. In addition, the means by which different methods are able to provide a measure of error or uncertainty associated with a given risk estimate will be discussed. Applications to risk modelling for breast cancer are given the disease for which risk assessment has probably been most extensively defined.
    Keywords: Epidemiologic Methods ; Genetic Predisposition to Disease ; Models, Genetic ; Models, Statistical;
    ISSN: 09622802
    E-ISSN: 14770334
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