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)
Institute
National Institute on Minority Health and Health Disparities (NIMHD)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54MD008620-03
Application #
8668143
Study Section
Special Emphasis Panel (ZMD1)
Project Start
Project End
Budget Start
2014-07-01
Budget End
2015-06-30
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
Arsoniadis, Elliot G; Fan, Yunhua; Jarosek, Stephanie et al. (2018) Decreased Use of Sphincter-Preserving Procedures Among African Americans with Rectal Cancer. Ann Surg Oncol 25:720-728
Lin, Lifeng; Chu, Haitao; Murad, Mohammad Hassan et al. (2018) Empirical Comparison of Publication Bias Tests in Meta-Analysis. J Gen Intern Med 33:1260-1267
Ganaie, Arsheed A; Beigh, Firdous H; Astone, Matteo et al. (2018) BMI1 Drives Metastasis of Prostate Cancer in Caucasian and African-American Men and Is A Potential Therapeutic Target: Hypothesis Tested in Race-specific Models. Clin Cancer Res 24:6421-6432
Lin, Lifeng; Chu, Haitao (2018) Bayesian multivariate meta-analysis of multiple factors. Res Synth Methods 9:261-272
Lin, Lifeng; Zhang, Jing; Hodges, James S et al. (2017) Performing Arm-Based Network Meta-Analysis in R with the pcnetmeta Package. J Stat Softw 80:
Zhang, Jing; Chu, Haitao; Hong, Hwanhee et al. (2017) Bayesian hierarchical models for network meta-analysis incorporating nonignorable missingness. Stat Methods Med Res 26:2227-2243
Scarinci, Isabel C; Moore, Artisha; Benjamin, Regina et al. (2017) A participatory evaluation framework in the establishment and implementation of transdisciplinary collaborative centers for health disparities research. Eval Program Plann 60:37-45
Chen, Yong; Liu, Yulun; Ning, Jing et al. (2017) A composite likelihood method for bivariate meta-analysis in diagnostic systematic reviews. Stat Methods Med Res 26:914-930
Ma, Xiaoye; Chen, Yong; Cole, Stephen R et al. (2016) 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 25:3015-3037
Lin, Lifeng; Chu, Haitao; Hodges, James S (2016) Sensitivity to Excluding Treatments in Network Meta-analysis. Epidemiology 27:562-9

Showing the most recent 10 out of 19 publications