This Administrative Core aims to provide leadership and coordination for the Program, and to promote communication and exchange among the 15 participating biostatistical investigators who are engaged in a variety of substantive chronic disease research efforts. The Core also aims to aid in the identification of future direction and emphases for the Program, and to facilitate progress review and monitoring. Coordination, exchange, and critique take place through a simple committee structure, and include monthly methodology development and progress reporting seminars Involving all Program members. Review of progress and plans is also facilitated by interactions with an external Scientific Advisory Committee.
This research Program aims to identify and address methodologic barriers in chronic disease risk assessment, prevention, early detection, prognosis or treatment, and address these through the development of appropriate and practical statistical strategies and techniques. The Administrative Core facilitates exchange and communication among Program participants, to maximize the relevance and value of these research developments.
|Chen, Lin S; Prentice, Ross L; Wang, Pei (2014) A penalized EM algorithm incorporating missing data mechanism for Gaussian parameter estimation. Biometrics 70:312-22|
|Seguin, Rebecca; Buchner, David M; Liu, Jingmin et al. (2014) Sedentary behavior and mortality in older women: the Women's Health Initiative. Am J Prev Med 46:122-35|
|Di, Chongzhi; Crainiceanu, Ciprian M; Jank, Wolfgang S (2014) Multilevel sparse functional principal component analysis. Stat 3:126-143|
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|Dai, James Y; Li, Shuying S; Gilbert, Peter B (2014) Case-only method for cause-specific hazards models with application to assessing differential vaccine efficacy by viral and host genetics. Biostatistics 15:196-203|
|Zhao, Shanshan; Chlebowski, Rowan T; Anderson, Garnet L et al. (2014) Sex hormone associations with breast cancer risk and the mediation of randomized trial postmenopausal hormone therapy effects. Breast Cancer Res 16:R30|
|Sitlani, Colleen M; Heagerty, Patrick J (2014) Analyzing longitudinal data to characterize the accuracy of markers used to select treatment. Stat Med 33:2881-96|
|Beasley, Jeannette M; Gunter, Marc J; LaCroix, Andrea Z et al. (2014) Associations of serum insulin-like growth factor-I and insulin-like growth factor-binding protein 3 levels with biomarker-calibrated protein, dairy product and milk intake in the Women's Health Initiative. Br J Nutr 111:847-53|
|Logsdon, Benjamin A; Dai, James Y; Auer, Paul L et al. (2014) A variational Bayes discrete mixture test for rare variant association. Genet Epidemiol 38:21-30|
|Bryan, Matthew; Heagerty, Patrick J (2014) Direct regression models for longitudinal rates of change. Stat Med 33:2115-36|
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