Just as the overall NTCC, the CPC will be guided by the principles of the Community-Based Participatory Research (CBPR) and the Empowerment Theory, which are the philosophical underpinnings of the proposed NTCC. CBPR is a partnership approach that equally involves all segments of the community and academia in the programmatic process. One of the strongest roots of CBPR is the Empowerment Theory, which holds that before community members can address goals introduced from the outside, they must be empowered to address their own goals and concerns. This process begins with a true dialogue in which everyone participates equally to identify common problems and solutions. Four principles have been proposed for CBPR: "a) integration of community members as equal partners;b) integration of intervention and evaluation;c) organizational and programmatic flexibility;and d) utilization of the project as a learning opportunity for all.

Agency
National Institute of Health (NIH)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54MD008620-03
Application #
8668143
Study Section
Special Emphasis Panel (ZMD1)
Project Start
Project End
Budget Start
Budget End
Support Year
3
Fiscal Year
2014
Total Cost
Indirect Cost
Name
University of Alabama Birmingham
Department
Type
DUNS #
City
Birmingham
State
AL
Country
United States
Zip Code
35294
Chen, Liddy M; Ibrahim, Joseph G; Chu, Haitao (2014) Sample size determination in shared frailty models for multivariate time-to-event data. J Biopharm Stat 24:908-23
Chen, Yong; Liu, Yulun; Ning, Jing et al. (2014) A composite likelihood method for bivariate meta-analysis in diagnostic systematic reviews. Stat Methods Med Res :
Ma, Xiaoye; Chen, Yong; Cole, Stephen R et al. (2014) A hybrid Bayesian hierarchical model combining cohort and case-control studies for meta-analysis of diagnostic tests: Accounting for partial verification bias. Stat Methods Med Res :
Chen, Liddy M; Ibrahim, Joseph G; Chu, Haitao (2014) Flexible stopping boundaries when changing primary endpoints after unblinded interim analyses. J Biopharm Stat 24:817-33
Ho, Yen-Yi; Baechler, Emily C; Ortmann, Ward et al. (2014) Using gene expression to improve the power of genome-wide association analysis. Hum Hered 78:94-103