The proposed Program Project, Statistical Informatics for Cancer Research, will tackle a wide range ofchallenging statistical problems arising from large, complex datasets arising from population-based studies incancer. The Administrative Core will be responsible for providing scientific and administrative leadership forthe entire Program.
Specific aims are:1. To facilitate intellectual exchange and collaboration between all Program members through theorganization of bi-weekly meetings that will alternate between informal working group and moreformal seminar meetings. Seminars will be open to the broader HSPH community in an effort tostimulate interest in quantitative issues for population based studies in cancer;2. To plan and implement short-courses and visitor programs on topics relevant to the Program missionso as to ensure that all research supported by the Project is of highest quality and based on cuttingedge methods;3. To mentor junior members of the Program (postdoctoral fellows and junior faculty);4. To communicate clearly with and provide accountability to individual Project Leaders and Co-Leaders, the Director of the Statistical Core and the Battelle Project Manager to ensure thatappropriate progress is being made on all Program Aims5. To manage all administrative aspects of the Program, including financial decision making andreporting and annual grant reports.6. To ensure effective dissemination of the developed new methodology to real world practices throughuser-friendly open access software developments, applications of the proposed methods to themotivating cancer data, publications in both statistical and subject-matter conferences, andpresentation of results at both statistical and subject-matter conferences.The Core will be co-directed by two accomplished biostatisticians, Professors Louise Ryan and Xihong Lin,both of whom are also highly experienced and competent administrators.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
1P01CA134294-01
Application #
7513675
Study Section
Special Emphasis Panel (ZCA1-RPRB-7 (M1))
Project Start
2008-07-01
Project End
2013-06-30
Budget Start
2008-07-01
Budget End
2009-08-31
Support Year
1
Fiscal Year
2008
Total Cost
$77,519
Indirect Cost
Name
Harvard University
Department
Type
DUNS #
149617367
City
Boston
State
MA
Country
United States
Zip Code
02115
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Antonelli, Joseph; Cefalu, Matthew; Palmer, Nathan et al. (2018) Doubly robust matching estimators for high dimensional confounding adjustment. Biometrics :
Wilson, Ander; Zigler, Corwin M; Patel, Chirag J et al. (2018) Model-averaged confounder adjustment for estimating multivariate exposure effects with linear regression. Biometrics 74:1034-1044
Sofer, Tamar; Schifano, Elizabeth D; Christiani, David C et al. (2017) Weighted pseudolikelihood for SNP set analysis with multiple secondary outcomes in case-control genetic association studies. Biometrics 73:1210-1220

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