Graduate Trainee, George Mason University
1 active 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.
- Population Health
- Social / Behavioral
- Methods Development
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.
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 UsedRegistered Tier
- Sean Grimm - Graduate Trainee, George Mason University
- Arshia Firdaus - Graduate Trainee, George Mason University
You can request that the All of Us Resource Access Board (RAB) review a research purpose description if you have concerns that this research project may stigmatize All of Us participants or violate the Data User Code of Conduct in some other way. To request a review, you must fill in a form, which you can access by selecting ‘request a review’ below.