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High-probability grants
According to our matching algorithm, Shou-En Lu is the likely recipient of the following grants.
| Years |
Recipients |
Code |
Title / Keywords |
Matching
score |
| 2012 |
Lu, Shou-En |
U58Activity Code Description:
In cooperation with State and local public health agencies and other public or private organizations to assist in controlling and preventing chronic diseases. Efforts are directed at the integrated application of surveillance; applied epidemiology; laboratory sciences; evaluation; health education; dynamic and productive relationships; training; and extensive applied management of effective disease control programs. |
Translating Research Into Action For Diabetes (Triad) Legacy Study - Collaboratin @ Univ of Med/Dent Nj-R W Johnson Med Sch
DESCRIPTION OF PROJECT: Diabetes is the fifth leading cause of death in the US and is predicted to increase in incidence by42% from 1995 to 2025. Diabetes also contributes to increased rates of morbidity with overall estimated costs of $132 billion annually. The Translating Research Into Action for Diabetes (TRIAD) study has used a multi-site collaborative model to examine the role of system- and patient-level factors on diabetes care in managed care settings. This model has successfully produced over 60 peer-reviewed publications contributing to public understanding of diabetes care in these settings. Throughout the initial TRIAD study period the collaboration between these Collaborating Centers has been facilitated by a Coordinating Center. Since 2001 UMDNJ has hosted the TRIAD Study Coordinating Center. Purpose: We propose to continue to serve as the Coordinating Center for this project during the TRIAD Legacy Study period and to continue to facilitate and coordinate the ongoing collaborative relationships between TRIAD investigators at each of the six Collaborating Centers. Methods: During the three-year legacy period we will continue to provide coordination services while focusing on developing TRIAD capacities to use new methods and approaches for facilitating collaboration. During this period we will coordinate and staff one in-person and six telephone/videoconference meetings of the TRIAD Legacy Publications and Presentations committee while continuing to update and maintain the content and functionality of the TRIAD websites (both public and investigator only sections). In addition, we will continue to facilitate working group and paper writing meetings that involve investigators from multiple Collaborating Centers. Outcomes: The results of this multi-center collaboration in the TRIAD Legacy Study period are expected to be between 18 and 36 additional TRIAD-based peer reviewed publications. Benefit: Dissemination of these additional findings from the TRIAD study may inform efforts to improve the quality of care provided in managed care settings to patients with diabetes.
|
0.912 |
| 2021 |
Lu, Shou-En |
P30Activity Code Description:
To support shared resources and facilities for categorical research by a number of investigators from different disciplines who provide a multidisciplinary approach to a joint research effort or from the same discipline who focus on a common research problem. The core grant is integrated with the center's component projects or program projects, though funded independently from them. This support, by providing more accessible resources, is expected to assure a greater productivity than from the separate projects and program projects. |
Biometrics @ Rbhs -Cancer Institute of New Jersey
BIOMETRICS SHARED RESOURCE PROJECT SUMMARY/ABSTRACT The Biometrics shared resource of the Rutgers Cancer Institute of New Jersey (CINJ) is a Cancer Center managed shared resource whose purpose is to provide statistical support for CINJ members in the areas of basic, clinical, and population research. Most CINJ members in the basic, clinical and population sciences require biostatistical expertise beyond that acquired within their field of scientific training. The Biometrics shared resource (Biometrics) ensures that the scientific rigor of CINJ studies is supported by outstanding, centralized and cost-effective biostatistical support. Under the leadership of Dr. Weichung (Joe) Shih, Biometrics supports the design, conduct, analysis, and reporting of laboratory, clinical and population research. Biometrics is committed to improving the efficiency and effectiveness of research that answers experimental and observational questions in as short a time as possible with the least number of subjects or samples to improve scientific efficiency, while preserving an appropriate error rate and power.
|
0.906 |