Abstract

The Biostatistics Core facility provides the statistical and computational support for all ovarian cancer SPORE investigators. The Core will support consultation and collaboration on all aspects of study design, database development and quality control, and the analysis and interpretation of data.
The specific aims of this core are to: 1. Provide ready access to statistical expertise and computing consultation to the ovarian cancer SPORE program. 2. Provide biostatistical expertise for the planning, conduct, analysis, and reporting of laboratory experiments, epidemiology studies, and clinical trials. 3. Advise and support SPORE investigators and their data collectors (technicians, nurses, data managers, etc.) in the areas of data form design, data collection, record abstraction, computerization, database designing and management, and data quality control. 4. Provide a scientific computing facility suitable to meet the statistical analysis of ovarian cancer SPORE investigators, including technical assistance in moving data between various computers and operating system environments.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center (P50)
Project #
5P50CA105009-03
Application #
7280825
Study Section
Special Emphasis Panel (ZCA1)
Project Start
Project End
Budget Start
2006-08-01
Budget End
2007-07-31
Support Year
3
Fiscal Year
2006
Total Cost
$201,831
Indirect Cost

  Institution

Name
Brigham and Women's Hospital
Department
Type
DUNS #
030811269
City
Boston
State
MA
Country
United States
Zip Code
02115

  Publications

Liu, Gang; Mukherjee, Bhramar; Lee, Seunggeun et al. (2018) Robust Tests for Additive Gene-Environment Interaction in Case-Control Studies Using Gene-Environment Independence. Am J Epidemiol 187:366-377
Ong, Jue-Sheng; Hwang, Liang-Dar; Cuellar-Partida, Gabriel et al. (2018) Assessment of moderate coffee consumption and risk of epithelial ovarian cancer: a Mendelian randomization study. Int J Epidemiol 47:450-459
Earp, Madalene; Tyrer, Jonathan P; Winham, Stacey J et al. (2018) Variants in genes encoding small GTPases and association with epithelial ovarian cancer susceptibility. PLoS One 13:e0197561
Harris, Holly R; Rice, Megan S; Shafrir, Amy L et al. (2018) Lifestyle and Reproductive Factors and Ovarian Cancer Risk by p53 and MAPK Expression. Cancer Epidemiol Biomarkers Prev 27:96-102
Harris, Holly R; Babic, Ana; Webb, Penelope M et al. (2018) Polycystic Ovary Syndrome, Oligomenorrhea, and Risk of Ovarian Cancer Histotypes: Evidence from the Ovarian Cancer Association Consortium. Cancer Epidemiol Biomarkers Prev 27:174-182
Lu, Yingchang; Beeghly-Fadiel, Alicia; Wu, Lang et al. (2018) A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk. Cancer Res 78:5419-5430
Peres, Lauren C; Risch, Harvey; Terry, Kathryn L et al. (2018) Racial/ethnic differences in the epidemiology of ovarian cancer: a pooled analysis of 12 case-control studies. Int J Epidemiol 47:460-472
Elias, Kevin M; Fendler, Wojciech; Stawiski, Konrad et al. (2017) Diagnostic potential for a serum miRNA neural network for detection of ovarian cancer. Elife 6:
Praestegaard, Camilla; Jensen, Allan; Jensen, Signe M et al. (2017) Cigarette smoking is associated with adverse survival among women with ovarian cancer: Results from a pooled analysis of 19 studies. Int J Cancer 140:2422-2435
Glubb, Dylan M; Johnatty, Sharon E; Quinn, Michael C J et al. (2017) Analyses of germline variants associated with ovarian cancer survival identify functional candidates at the 1q22 and 19p12 outcome loci. Oncotarget 8:64670-64684

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