The goals of the statistical and programming core (Core B) are to provide statistical guidance and programming support for all analyses undertaken in each of the projects. The statistical analysis group is led by Dr. Donna Spiegelman, who has served as statistician for the Health Professionals Follow-up Study since 1990. She is supported by two doctoral-level Junior Statisticians, Drs. John Ritz and Thomas Schlopflocher, and three masters-level junior statistician programmer/ analysts. The doctoral-level statisticians provide statistical support for all the projects, develop new statistical methods as the need arises in the course of ongoing work, and develop statistical software to support new and non-standard methods when required for proper analysis of the data. The masters level statisticians and programmers in Core B perform data base management and data analysis at the direction of project investigators and the collaborating statisticians. In addition, programming support is provided for the identification of cases and controls for analyses of biomarkers in Projects 1, 2, and 3. Core B is also responsible for quality control of all analyses and documentation of data in all reports arising from the Health Professionals Follow-up Study and Pooling Project data.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
2P01CA055075-11
Application #
6472768
Study Section
Project Start
1991-08-23
Project End
2006-03-31
Budget Start
1998-10-01
Budget End
1999-09-30
Support Year
11
Fiscal Year
2001
Total Cost
$279,549
Indirect Cost
Name
Harvard University
Department
Type
DUNS #
082359691
City
Boston
State
MA
Country
United States
Zip Code
02115
Tabung, Fred K; Wang, Weike; Fung, Teresa T et al. (2018) Association of dietary insulinemic potential and colorectal cancer risk in men and women. Am J Clin Nutr 108:363-370
Grasso, Catherine S; Giannakis, Marios; Wells, Daniel K et al. (2018) Genetic Mechanisms of Immune Evasion in Colorectal Cancer. Cancer Discov 8:730-749
Song, Mingyang; Wu, Kana; Meyerhardt, Jeffrey A et al. (2018) Fiber Intake and Survival After Colorectal Cancer Diagnosis. JAMA Oncol 4:71-79
Ashar, Foram N; Mitchell, Rebecca N; Albert, Christine M et al. (2018) A comprehensive evaluation of the genetic architecture of sudden cardiac arrest. Eur Heart J 39:3961-3969
Jeon, Jihyoun; Du, Mengmeng; Schoen, Robert E et al. (2018) Determining Risk of Colorectal Cancer and Starting Age of Screening Based on Lifestyle, Environmental, and Genetic Factors. Gastroenterology 154:2152-2164.e19
Joshu, Corinne E; Peskoe, Sarah B; Heaphy, Christopher M et al. (2018) Current or recent smoking is associated with more variable telomere length in prostate stromal cells and prostate cancer cells. Prostate 78:233-238
Wang, Xiaoliang; Chan, Andrew T; Slattery, Martha L et al. (2018) Influence of Smoking, Body Mass Index, and Other Factors on the Preventive Effect of Nonsteroidal Anti-Inflammatory Drugs on Colorectal Cancer Risk. Cancer Res 78:4790-4799
Yuan, Changzheng; Spiegelman, Donna; Rimm, Eric B et al. (2018) Relative Validity of Nutrient Intakes Assessed by Questionnaire, 24-Hour Recalls, and Diet Records as Compared With Urinary Recovery and Plasma Concentration Biomarkers: Findings for Women. Am J Epidemiol 187:1051-1063
Bhagwandin, Candida; Ashbeck, Erin L; Whalen, Michael et al. (2018) The E3 ubiquitin ligase MARCH1 regulates glucose-tolerance and lipid storage in a sex-specific manner. PLoS One 13:e0204898
Petimar, Joshua; Tabung, Fred K; Valeri, Linda et al. (2018) Mediation of Associations Between Adiposity and Colorectal Cancer Risk by Inflammatory and Metabolic Biomarkers. Int J Cancer :

Showing the most recent 10 out of 993 publications