The Statistical Coordinating Center's (SCC) primary functions are to support the collection and analysis of data for the Breast Cancer Surveillance Consortium, develop and implement novel statistical methodology to characterize the process of breast cancer screening, provide scientific guidance in the development of publications, and facilitate the use of the BCSC research resource by non-BCSC investigators. The major goals of the Consortium are to provide population-based information on the performance of breast cancer screening in the community, improve the process of tumor detection, examine the role of practice patterns and biological factors on outcomes, and evaluate the efficacy of mammography in reducing breast cancer morbidity and mortality. The SCC will continue to advance the collective work of the BCSC by organizing data collection, management, and analysis. Specifically, over the next five years, the SCC will: (1) facilitate the collection of data that is comparable across sites by maintaining and improving data coding conventions, standardized data collection instruments, and quality control procedures; (2) maintain a data management system that facilitates pooled analyses and rapid development of new projects; (3) conduct pooled statistical analyses; (4) develop and implement novel statistical methods; (5) enhance communication and cooperation among the Consortium members; and (6) facilitate collaboration with non-BCSC Investigators.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project--Cooperative Agreements (U01)
Project #
5U01CA086076-09
Application #
7491677
Study Section
Special Emphasis Panel (ZCA1-SRRB-E (M1))
Program Officer
Taplin, Stephen
Project Start
2000-05-10
Project End
2010-07-31
Budget Start
2008-08-01
Budget End
2009-07-31
Support Year
9
Fiscal Year
2008
Total Cost
$889,385
Indirect Cost
Name
Group Health Cooperative
Department
Type
DUNS #
078198520
City
Seattle
State
WA
Country
United States
Zip Code
98101
Miglioretti, Diana L; Ichikawa, Laura; Smith, Robert A et al. (2017) Correlation Between Screening Mammography Interpretive Performance on a Test Set and Performance in Clinical Practice. Acad Radiol 24:1256-1264
Fenton, Joshua J; Onega, Tracy; Zhu, Weiwei et al. (2016) Validation of a Medicare Claims-based Algorithm for Identifying Breast Cancers Detected at Screening Mammography. Med Care 54:e15-22
Wolf, Max; Krause, Jens; Carney, Patricia A et al. (2015) Collective intelligence meets medical decision-making: the collective outperforms the best radiologist. PLoS One 10:e0134269
van Ravesteyn, Nicolien T; Stout, Natasha K; Schechter, Clyde B et al. (2015) Benefits and harms of mammography screening after age 74 years: model estimates of overdiagnosis. J Natl Cancer Inst 107:
Gard, Charlotte C; Aiello Bowles, Erin J; Miglioretti, Diana L et al. (2015) Misclassification of Breast Imaging Reporting and Data System (BI-RADS) Mammographic Density and Implications for Breast Density Reporting Legislation. Breast J 21:481-9
Dai, Hongji; Yan, Ye; Wang, Peishan et al. (2014) Distribution of mammographic density and its influential factors among Chinese women. Int J Epidemiol 43:1240-51
Stout, Natasha K; Lee, Sandra J; Schechter, Clyde B et al. (2014) Benefits, harms, and costs for breast cancer screening after US implementation of digital mammography. J Natl Cancer Inst 106:dju092
Buist, Diana S M; Anderson, Melissa L; Smith, Robert A et al. (2014) Effect of radiologists' diagnostic work-up volume on interpretive performance. Radiology 273:351-64
Vilaprinyo, Ester; Forné, Carles; Carles, Misericordia et al. (2014) Cost-effectiveness and harm-benefit analyses of risk-based screening strategies for breast cancer. PLoS One 9:e86858
Ponti, Antonio; Lynge, Elsebeth; James, Ted et al. (2014) International variation in management of screen-detected ductal carcinoma in situ of the breast. Eur J Cancer 50:2695-704

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