The Biostatistics and Data management Core, Core D, will support all phases of data management and analyses in this P01 project. It will create and manage both old and new genetic, pathologic, and questionnaire data from the four participating studies. It will develop and maintain procedures for preparing and distributing datasets across studies using secure methods. It will collaborate with Cores B and C and Project Leaders in study design and sampling schemes for the various Projects. It will provide methodologic and analytic expertise to project investigators including study design, conduct of data analytic plans, bioinformatics analyses, and interpretation of statistical results. The Core will be responsible for data harmonization so that all investigators are using the same variable definitions. The Core will carry out many of the data analyses and has state-of-the-art hardware and software for doing so. The Core will collaborate closely with postdoctoral fellows and investigators on the individual Projects. The Leader of the Core and other Core investigators have expertise in genetics research and have had extensive experience in managing and analyzing the data of large multicenter studies. The activities of the Core will maintain high standards for data collection and analysis, maintain the integrity of the data, achieve consistency across the studies, and increase the productivity of Project investigators.
This Program Project is designed to identify causes of aggressive breast cancer in AA women. The results have the potential to lead to improved prevention and treatment. Core D will contribute to the efficiency, productivity, and quality of the Projects by supporting all phases of data management and analyses, maintaining high standards for data collection and analysis, and assuring consistency across studies and analyses.
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|Williams, Lindsay A; Nichols, Hazel B; Hoadley, Katherine A et al. (2018) Reproductive risk factor associations with lobular and ductal carcinoma in the Carolina Breast Cancer Study. Cancer Causes Control 29:25-32|
|Troester, Melissa A; Sun, Xuezheng; Allott, Emma H et al. (2018) Racial Differences in PAM50 Subtypes in the Carolina Breast Cancer Study. J Natl Cancer Inst 110:|
|Qin, Bo; Llanos, Adana A M; Lin, Yong et al. (2018) Validity of self-reported weight, height, and body mass index among African American breast cancer survivors. J Cancer Surviv 12:460-468|
|Allott, Emma H; Geradts, Joseph; Cohen, Stephanie M et al. (2018) Frequency of breast cancer subtypes among African American women in the AMBER consortium. Breast Cancer Res 20:12|
|Gong, Zhihong; Wang, Jie; Wang, Dan et al. (2018) Differences in microRNA expression in breast cancer between women of African and European ancestry. Carcinogenesis :|
|Wheeler, Stephanie B; Spencer, Jennifer C; Pinheiro, Laura C et al. (2018) Financial Impact of Breast Cancer in Black Versus White Women. J Clin Oncol 36:1695-1701|
|Hong, Chi-Chen; Sucheston-Campbell, Lara E; Liu, Song et al. (2018) Genetic Variants in Immune-Related Pathways and Breast Cancer Risk in African American Women in the AMBER Consortium. Cancer Epidemiol Biomarkers Prev 27:321-330|
|Bertrand, Kimberly A; Gerlovin, Hanna; Bethea, Traci N et al. (2017) Pubertal growth and adult height in relation to breast cancer risk in African American women. Int J Cancer 141:2462-2470|
|Williams, Lindsay A; Olshan, Andrew F; Hong, Chi-Chen et al. (2017) Alcohol Intake and Breast Cancer Risk in African American Women from the AMBER Consortium. Cancer Epidemiol Biomarkers Prev 26:787-794|
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