The goals of the statistical and programming core (Core B) are to provide statistical guidance andprogramming support for all analyses undertaken in each of the projects. The statistical analysis group is ledby Dr. Donna Spiegelman, who has served as the senior statistician for the Health Professionals' Follow-upStudy since 1990 and as the senior statistician for the Pooling Project since its inception. In addition, she hasbeen the Leader of this Core since it began in 2000. She is supported by four junior statisticians, EllenHertzmark, Ruifeng Li, Sherry Yuan, and Lydia Liu, who have master's degrees in mathematics, biostatistics,and statistics. These four junior statisticians represent a tremendous human resource, with nearly 40cumulative years of experience working with our group, and each is an expert statistical programmer, dataanalyst, and data manager. Along with statistical programmers Christine Rivera and Al Wing, this team willconduct all database management and analyses required by Projects 1-3 under the direction of Dr.Spiegelman and project investigators. Programming support is provided for the identification of cases andcontrols in the analysis of biomarkers and genetic materials, as required by Projects 1-2. Dr. Spiegelman isjoined by Dr. Kraft, who specializes in statistical genetics. Dr. Kraft will oversee the analyses of genetic datafrom Projects 1 and 2 and will be responsible for the development of statistical methods for multiple genesand pathway analysis, Core B provides programming assistance to all investigators, and develops user-friendly, professionally documented SAS macros as required by the Projects. Core B is responsible forquality control of all analyses and documentation of data in all reports arising from Projects 1-3. Anotheraspect of Core B is new statistical methods development as required by the Projects. Methods will bedeveloped to allow for correction of bias due to misclassification and measurement error on the estimates ofthe effects of exposurethat change over time, with cumulatively averaged diet the primary focus of ourattention. As one of the few prospective cohort studies of diet and health in the world with repeatedmeasures of diet available on the vast majority of participants every four years, this unique feature of ourstudies requires the development of new methods to permit valid and efficient methods for measurementerror correction, along with the software to translate the theory into accessible practice. We will develop newmethods that address problems of sparse data in the context of candidate gene association studies involvinggene-gene and gene-environment interaction, a major focus of two of the three projects in this proposal. Byusing a priori biological knowledge to model disease risk as a function of multiple variants in a pathway,these methods can also alleviate the multiple testing problem. Each of these areas represents an innovativeavenue of statistical investigation at the forefront of contemporary cancer epidemiology.
| Bonn, Stephanie E; Rimm, Eric B; Matthews, Charles E et al. (2018) Associations of Sedentary Time with Energy Expenditure and Anthropometric Measures. Med Sci Sports Exerc 50:2575-2583 |
| Ma, Siyuan; Ogino, Shuji; Parsana, Princy et al. (2018) Continuity of transcriptomes among colorectal cancer subtypes based on meta-analysis. Genome Biol 19:142 |
| Tsang, Sabrina H; Peisch, Samuel F; Rowan, Brendan et al. (2018) Association between Trichomonas vaginalis and prostate cancer mortality. Int J Cancer : |
| He, Xiaosheng; Wu, Kana; Ogino, Shuji et al. (2018) Association Between Risk Factors for Colorectal Cancer and Risk of Serrated Polyps and Conventional Adenomas. Gastroenterology 155:355-373.e18 |
| Wu, Juan; Wilson, Kathryn M; Stampfer, Meir J et al. (2018) A 24-year prospective study of dietary ?-linolenic acid and lethal prostate cancer. Int J Cancer 142:2207-2214 |
| Hu, Yang; Ding, Ming; Yuan, Chen et al. (2018) Association Between Coffee Intake After Diagnosis of Colorectal Cancer and Reduced Mortality. Gastroenterology 154:916-926.e9 |
| 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 |
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