Sean Grimm
Graduate Trainee, George Mason University
1 active project
Project
Scientific Questions Being Studied
The goal of this project is to investigate diabetes in the adult population. We plan on identifying a temporal sequence of events and creating a causal network.
Project Purpose(s)
- Population Health
- Social / Behavioral
- Methods Development
Scientific Approaches
The temporal sequence of events will be identified by counting for each pair of the condition (diabetes), the number of times it occurs before another in the same person. We will use the pairwise count of one condition occurring before another to establish the sequence of occurrence of conditions.
A causal network will be built in order to better understand and predict the response variable, diabetes. We will use LASSO regression to regress the response variable on all independent variables, and pairwise or triple clusters of independent variables that precede the response variable. We will regress each variable that is a direct predictor of response/outcome variable on all preceding variables (demographic and conditions).
Using Netica we will map the network. We will estimate the parameters and calculate the predicted vale for all combinations of the parents in the Markov blanket of the response variable with the use of LASSO regression.
Anticipated Findings
The results from this project may help to map out the network of relationships surrounding diabetes.
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Registered TierResearch Team
Owner:
- Sean Grimm - Graduate Trainee, George Mason University
Collaborators:
- Arshia Firdaus - Graduate Trainee, George Mason University
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