Publications by authors named "O Sofrygin"
Article Synopsis
- Social barriers like food insecurity, financial issues, and housing instability can hinder proper health care management for those with chronic illnesses, making it crucial to identify at-risk individuals for proactive support.
- The research aimed to develop a predictive model to identify adults with multiple chronic conditions who may be dealing with these social barriers, using data from Kaiser Permanente Northern California between 2017 and 2020.
- The final model, which utilized 30 predictors, achieved an area under the curve (AUC) of 0.68, indicating moderate effectiveness in predicting those at risk, while being considerate of potential biases related to race and ethnicity. *_
We describe semiparametric estimation and inference for causal effects using observational data from a single social network. Our asymptotic results are the first to allow for dependence of each observation on a growing number of other units as sample size increases. In addition, while previous methods have implicitly permitted only one of two possible sources of dependence among social network observations, we allow for both dependence due to transmission of information across network ties and for dependence due to latent similarities among nodes sharing ties.
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