This Health Research Program opportunity is with Dr. Emil Coman, UConn Health Disparities Institute (HDI).
Project Description: The project will engage an UG student in a mutual learning process of combining methods, tools, and substantive knowledge from fields like (bio)statistics and causal inference to answer questions like: (i). (Is there, and) How strong is the causal effect of (gaining/excess) body weight/mass on diabetes/blood glucose? (ii). Does the body weight->diabetes effect differ by race/ethnicity? (iii). Are there differential diabetes prevention benefits of weight loss among different racial/ethnic groups?
It proposes to share the faculty’s new insights into training methods for applied statistics/data analysis, recast in a way such that causality is imbued into the analytical process from the very beginning. It will utilize an existing dataset from a prior randomized intervention, along with other datasets the faculty has access to, and public data (e.g. ‘geo-spatial’). It proposes to introduce the UG student to new approaches to data science/analytics, using applied investigative work instead of lecturing-type expositions.
For full details about this Health Research Program opportunity, visit https://ugradresearch.uconn.edu/hrp/su24-7
For full details about the Health Research Program, visit ugradresearch.uconn.edu/hrp/
Submissions to this program are made via a third-party software application, SurveyMonkey Apply. The terms of use and privacy statements for this software apply to your use of it and to the information you provide in your application. Before proceeding with your submission, please review their terms and privacy statements linked below.
HRP SU24-7: Research Opportunity with Dr. Emil Coman
This Health Research Program opportunity is with Dr. Emil Coman, UConn Health Disparities Institute (HDI).
Project Description: The project will engage an UG student in a mutual learning process of combining methods, tools, and substantive knowledge from fields like (bio)statistics and causal inference to answer questions like: (i). (Is there, and) How strong is the causal effect of (gaining/excess) body weight/mass on diabetes/blood glucose? (ii). Does the body weight->diabetes effect differ by race/ethnicity? (iii). Are there differential diabetes prevention benefits of weight loss among different racial/ethnic groups?
It proposes to share the faculty’s new insights into training methods for applied statistics/data analysis, recast in a way such that causality is imbued into the analytical process from the very beginning. It will utilize an existing dataset from a prior randomized intervention, along with other datasets the faculty has access to, and public data (e.g. ‘geo-spatial’). It proposes to introduce the UG student to new approaches to data science/analytics, using applied investigative work instead of lecturing-type expositions.
For full details about this Health Research Program opportunity, visit https://ugradresearch.uconn.edu/hrp/su24-7
For full details about the Health Research Program, visit ugradresearch.uconn.edu/hrp/
Submissions to this program are made via a third-party software application, SurveyMonkey Apply. The terms of use and privacy statements for this software apply to your use of it and to the information you provide in your application. Before proceeding with your submission, please review their terms and privacy statements linked below.