-
1
-
-
77952917993
-
Assessing women at high risk of breast cancer: A review of risk assessment models
-
E. Amir, O.C. Freedman, B. Seruga, and D.G. Evans Assessing women at high risk of breast cancer: a review of risk assessment models J Natl Cancer Inst 102 2010 680 691
-
(2010)
J Natl Cancer Inst
, vol.102
, pp. 680-691
-
-
Amir, E.1
Freedman, O.C.2
Seruga, B.3
Evans, D.G.4
-
2
-
-
0344442208
-
Evaluation of breast cancer risk assessment packages in the family history evaluation and screening programme
-
E. Amir, D.G. Evans, and A. Shenton et al. Evaluation of breast cancer risk assessment packages in the family history evaluation and screening programme J Med Genet 40 2003 807 814
-
(2003)
J Med Genet
, vol.40
, pp. 807-814
-
-
Amir, E.1
Evans, D.G.2
Shenton, A.3
-
3
-
-
40449138003
-
Breast cancer risk-assessment models
-
D.G.R. Evans, and A. Howell Breast cancer risk-assessment models Breast Cancer Res 9 2007 213
-
(2007)
Breast Cancer Res
, vol.9
, pp. 213
-
-
Evans, D.G.R.1
Howell, A.2
-
4
-
-
58549089478
-
Breast cancer risk factors in younger and older women
-
J. Chun, B. Pocock, K.A. Joseph, M. El-Tamer, L. Klein, and F. Schnabel Breast cancer risk factors in younger and older women Ann Surg Oncol 16 2009 96 99
-
(2009)
Ann Surg Oncol
, vol.16
, pp. 96-99
-
-
Chun, J.1
Pocock, B.2
Joseph, K.A.3
El-Tamer, M.4
Klein, L.5
Schnabel, F.6
-
5
-
-
84901908638
-
Breast cancer incidence and mortality trends in an affluent population: Marin County, California, USA, 1990-1999
-
C.A. Clarke, S.L. Glaser, and D.W. West et al. Breast cancer incidence and mortality trends in an affluent population: Marin County, California, USA, 1990-1999 Breast Cancer Res 4 2002 R13
-
(2002)
Breast Cancer Res
, vol.4
, pp. 13
-
-
Clarke, C.A.1
Glaser, S.L.2
West, D.W.3
-
6
-
-
45149125181
-
Recent changes in breast cancer incidence and risk factor prevalence in San Francisco Bay area and California women: 1988 to 2004
-
T.H.M. Keegan, E.T. Chang, and E.M. John et al. Recent changes in breast cancer incidence and risk factor prevalence in San Francisco Bay area and California women: 1988 to 2004 Breast Cancer Res 9 2007 R62
-
(2007)
Breast Cancer Res
, vol.9
, pp. 62
-
-
Keegan, T.H.M.1
Chang, E.T.2
John, E.M.3
-
7
-
-
77951545762
-
Recent trends in hormone therapy utilization and breast cancer incidence rates in the high incidence population of Marin County, California
-
R.R. Ereman, L.A. Prebil, and M. Mockus et al. Recent trends in hormone therapy utilization and breast cancer incidence rates in the high incidence population of Marin County, California BMC Public Health 10 2010 228
-
(2010)
BMC Public Health
, vol.10
, pp. 228
-
-
Ereman, R.R.1
Prebil, L.A.2
Mockus, M.3
-
8
-
-
0032414004
-
Evaluating local differences in breast cancer incidence rates: A census-based methodology (United States)
-
A.W. Prehn, and D.W. West Evaluating local differences in breast cancer incidence rates: a census-based methodology (United States) Cancer Causes Control 9 1998 511 517
-
(1998)
Cancer Causes Control
, vol.9
, pp. 511-517
-
-
Prehn, A.W.1
West, D.W.2
-
9
-
-
73349085914
-
Delayed childbearing: More women are having their first child later in life
-
T.J. Mathews, and B.E. Hamilton Delayed childbearing: more women are having their first child later in life NCHS Data Brief 2009 1 8
-
(2009)
NCHS Data Brief
, pp. 1-8
-
-
Mathews, T.J.1
Hamilton, B.E.2
-
10
-
-
78650908194
-
-
Pew Research Center Washington, DC
-
P. Taylor, D. Cohn, G. Livingston, W. Wang, and D. Dockterman The New Demography of American Motherhood May 6, 2010 Pew Research Center Washington, DC
-
(2010)
The New Demography of American Motherhood
-
-
Taylor, P.1
Cohn, D.2
Livingston, G.3
Wang, W.4
Dockterman, D.5
-
11
-
-
0033568691
-
Validation studies for models projecting the risk of invasive and total breast cancer incidence
-
J.P. Costantino, M.H. Gail, and D. Pee et al. Validation studies for models projecting the risk of invasive and total breast cancer incidence J Natl Cancer Inst 91 1999 1541 1548
-
(1999)
J Natl Cancer Inst
, vol.91
, pp. 1541-1548
-
-
Costantino, J.P.1
Gail, M.H.2
Pee, D.3
-
12
-
-
0031917403
-
Determining carrier probabilities for breast cancer-susceptibility genes BRCA1 and BRCA2
-
G. Parmigiani, D. Berry, and O. Aguilar Determining carrier probabilities for breast cancer-susceptibility genes BRCA1 and BRCA2 Am J Hum Genet 62 1998 145 158
-
(1998)
Am J Hum Genet
, vol.62
, pp. 145-158
-
-
Parmigiani, G.1
Berry, D.2
Aguilar, O.3
-
13
-
-
1842680082
-
A breast cancer prediction model incorporating familial and personal risk factors
-
J. Tyrer, S.W. Duffy, and J. Cuzick A breast cancer prediction model incorporating familial and personal risk factors Stat Med 23 2004 1111 1130
-
(2004)
Stat Med
, vol.23
, pp. 1111-1130
-
-
Tyrer, J.1
Duffy, S.W.2
Cuzick, J.3
-
14
-
-
84879105422
-
-
US Census Bureau Accessed: June 21, 2012
-
2010 Census Interactive Population Search [Internet]. US Census Bureau, 2010. Available at: http://2010.census.gov/2010census/popmap/ipmtext.php. Accessed: June 21, 2012.
-
(2010)
2010 Census Interactive Population Search [Internet]
-
-
-
15
-
-
0024801278
-
Projecting individualized probabilities of developing breast cancer for white females who are being examined annually
-
M.H. Gail, L.A. Brinton, and D.P. Byar et al. Projecting individualized probabilities of developing breast cancer for white females who are being examined annually J Natl Cancer Inst 81 1989 1879 1886
-
(1989)
J Natl Cancer Inst
, vol.81
, pp. 1879-1886
-
-
Gail, M.H.1
Brinton, L.A.2
Byar, D.P.3
-
16
-
-
0028219526
-
Validation of the Gail et al model for predicting individual breast cancer risk
-
D. Spiegelman, G.A. Colditz, D. Hunter, and E. Hertzmark Validation of the Gail et al. model for predicting individual breast cancer risk J Natl Cancer Inst 86 1994 600 607
-
(1994)
J Natl Cancer Inst
, vol.86
, pp. 600-607
-
-
Spiegelman, D.1
Colditz, G.A.2
Hunter, D.3
Hertzmark, E.4
-
17
-
-
0028267953
-
Validation of a breast cancer risk assessment model in women with a positive family history
-
M.L. Bondy, E.D. Lustbader, S. Halabi, E. Ross, and V.G. Vogel Validation of a breast cancer risk assessment model in women with a positive family history J Natl Cancer Inst 86 1994 620 625
-
(1994)
J Natl Cancer Inst
, vol.86
, pp. 620-625
-
-
Bondy, M.L.1
Lustbader, E.D.2
Halabi, S.3
Ross, E.4
Vogel, V.G.5
-
18
-
-
64949188644
-
Prevention of breast cancer in postmenopausal women: Approaches to estimating and reducing risk
-
S.R. Cummings, J.A. Tice, and S. Bauer et al. Prevention of breast cancer in postmenopausal women: approaches to estimating and reducing risk J Natl Cancer Inst 101 2009 384 398
-
(2009)
J Natl Cancer Inst
, vol.101
, pp. 384-398
-
-
Cummings, S.R.1
Tice, J.A.2
Bauer, S.3
-
19
-
-
0035819891
-
Validation of the Gail et al model of breast cancer risk prediction and implications for chemoprevention
-
B. Rockhill, D. Spiegelman, C. Byrne, D.J. Hunter, and G.A. Colditz Validation of the Gail et al. model of breast cancer risk prediction and implications for chemoprevention J Natl Cancer Inst 93 2001 358 366
-
(2001)
J Natl Cancer Inst
, vol.93
, pp. 358-366
-
-
Rockhill, B.1
Spiegelman, D.2
Byrne, C.3
Hunter, D.J.4
Colditz, G.A.5
-
20
-
-
0141625954
-
Breast cancer risk prediction with a log-incidence model: Evaluation of accuracy
-
B. Rockhill, C. Byrne, B. Rosner, M.M. Louie, and G. Colditz Breast cancer risk prediction with a log-incidence model: evaluation of accuracy J Clin Epidemiol 56 2003 856 861
-
(2003)
J Clin Epidemiol
, vol.56
, pp. 856-861
-
-
Rockhill, B.1
Byrne, C.2
Rosner, B.3
Louie, M.M.4
Colditz, G.5
-
21
-
-
84899990460
-
BayesMendel: An R environment for mendelian risk prediction
-
Johns Hopkins University (Working Paper 39). Accessed: August 14, 2012
-
Chen S, Wang W, Broman K, Katki HA, Parmigiani G. BayesMendel: an R environment for mendelian risk prediction. Johns Hopkins University, Dept. of Biostatistics Working Papers. 2004 (Working Paper 39). Available at: http://www.bepress.com/jhubiostat/paper39. Accessed: August 14, 2012.
-
(2004)
Dept. of Biostatistics Working Papers
-
-
Chen, S.1
Wang, W.2
Broman, K.3
Katki, H.A.4
Parmigiani, G.5
-
22
-
-
67349122732
-
Differences and similarities in breast cancer risk assessment models in clinical practice: Which model to choose?
-
C.E. Jacobi, G.H. de Bock, B. Siegerink, and C.J. van Asperen Differences and similarities in breast cancer risk assessment models in clinical practice: which model to choose? Breast Cancer Res Treat 115 2009 381 390
-
(2009)
Breast Cancer Res Treat
, vol.115
, pp. 381-390
-
-
Jacobi, C.E.1
De Bock, G.H.2
Siegerink, B.3
Van Asperen, C.J.4
-
23
-
-
84899966418
-
SEER Cancer Statistics Review, 1975-2009 (Vintage 2009 Populations)
-
eds National Cancer Institute, Bethesda, MD
-
Howlader N, Noone AM, Krapcho M, Neyman N, Aminou R, Altekruse SF, Kosary CL, Ruhl J, Tatalovich Z, Cho H, Mariotto A, Eisner MP, Lewis DR, Chen HS, Feuer EJ, Cronin KA (eds). SEER Cancer Statistics Review, 1975-2009 (Vintage 2009 Populations). National Cancer Institute, Bethesda, MD. Available at: http://seer.cancer.gov/csr/1975-2009-pops09/, based on November 2011 SEER data submission, posted to the SEER web site, 2012. Accessed: August 16, 2012.
-
Based on November 2011 SEER Data Submission, Posted to the SEER Web Site, 2012. Accessed: August 16, 2012
-
-
Howlader, N.1
Noone, A.M.2
Krapcho, M.3
Neyman, N.4
Aminou, R.5
Altekruse, S.F.6
Kosary, C.L.7
Ruhl, J.8
Tatalovich, Z.9
Cho, H.10
Mariotto, A.11
Eisner, M.P.12
Lewis, D.R.13
Chen, H.S.14
Feuer, E.J.15
Cronin, K.A.16
-
25
-
-
0036630603
-
Areas beneath the relative operating characteristics (ROC) and relative operating levels (ROL) curves: Statistical significance and interpretation
-
S.J. Mason, and N.E. Graham Areas beneath the relative operating characteristics (ROC) and relative operating levels (ROL) curves: Statistical significance and interpretation Q J R Meteorol Soc 128 2002 2145 2166
-
(2002)
Q J R Meteorol Soc
, vol.128
, pp. 2145-2166
-
-
Mason, S.J.1
Graham, N.E.2
-
26
-
-
0023710206
-
Comparing the areas under two or more correlated receiver operating curves: A noparametric approach
-
E.R. DeLong, D.M. DeLong, and D.L. Clarke-Pearson Comparing the areas under two or more correlated receiver operating curves: a noparametric approach Biometrics 44 1988 837 845
-
(1988)
Biometrics
, vol.44
, pp. 837-845
-
-
Delong, E.R.1
Delong, D.M.2
Clarke-Pearson, D.L.3
-
27
-
-
79952709519
-
PROC: An open-source package for R and S+ to analyze and compare ROC curves
-
X. Robin, N. Turck, A. Hainard, and N. Tiberti pROC: an open-source package for R and S+ to analyze and compare ROC curves BMC Bioinformatics 12 2011 77
-
(2011)
BMC Bioinformatics
, vol.12
, pp. 77
-
-
Robin, X.1
Turck, N.2
Hainard, A.3
Tiberti, N.4
-
28
-
-
84868243643
-
Breast cancer risk assessment across the risk continuum: Genetic and nongenetic risk factors contributing to differential model performance
-
A.S. Quante, A.S. Whittemore, T. Shriver, K. Strauch, and M.B. Terry Breast cancer risk assessment across the risk continuum: genetic and nongenetic risk factors contributing to differential model performance Breast Cancer Res 14 2012 R144
-
(2012)
Breast Cancer Res
, vol.14
, pp. 144
-
-
Quante, A.S.1
Whittemore, A.S.2
Shriver, T.3
Strauch, K.4
Terry, M.B.5
-
29
-
-
84859111279
-
A systemic review of breast cancer incidence risk prediction models with meta-analysis of their performance
-
C. Meads, I. Ahmed, and R.D. Riley A systemic review of breast cancer incidence risk prediction models with meta-analysis of their performance Breast Cancer Res Treat 132 2012 365 377
-
(2012)
Breast Cancer Res Treat
, vol.132
, pp. 365-377
-
-
Meads, C.1
Ahmed, I.2
Riley, R.D.3
-
30
-
-
33845645979
-
Gail model for prediction of absolute risk of invasive breast cancer: Independent evaluation in the Florence-European prospective investigation into cancer and nutrition cohort
-
A. Decarli, S. Calza, G. Masala, C. Specchia, D. Palli, and M.H. Gail Gail model for prediction of absolute risk of invasive breast cancer: independent evaluation in the Florence-European prospective investigation into cancer and nutrition cohort J Natl Cancer Inst 98 2006 1686 1693
-
(2006)
J Natl Cancer Inst
, vol.98
, pp. 1686-1693
-
-
Decarli, A.1
Calza, S.2
Masala, G.3
Specchia, C.4
Palli, D.5
Gail, M.H.6
-
31
-
-
38449116155
-
Predicting risk of breast cancer in postmenopausal women by hormone receptor status
-
R.T. Chlebowski, G.L. Anderson, D.S. Lane, A.K. Aragaki, T. Rohan, and S. Yasmeen Women's Health Initiative Investigators Predicting risk of breast cancer in postmenopausal women by hormone receptor status J Natl Cancer Inst 99 2007 1695 1705
-
(2007)
J Natl Cancer Inst
, vol.99
, pp. 1695-1705
-
-
Chlebowski, R.T.1
Anderson, G.L.2
Lane, D.S.3
Aragaki, A.K.4
Rohan, T.5
Yasmeen, S.6
Health Initiative Investigators, W.7
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