3 citations · 5 across the 4 of their papers we have counts for
6 papers
CKH: Causal Knowledge Hierarchy for Estimating Structural Causal Models from Data and Priors
Riddhiman Adib, Md Mobasshir Arshed Naved, Chih-Hao Fang +5
Structural causal models (SCMs) provide a principled approach to identifying causation from observational and experimental data in disciplines ranging from economics to medicine. H…
Emergency Equity: Access and Emergency Medical Services in San Francisco
Robert Newton, Soundar Kumara, Paul Griffin
In 2020, California required San Francisco to consider equity in access to resources such as housing, transportation, and emergency services as it re-opened its economy post-pandem…
Structural Causal Model with Expert Augmented Knowledge to Estimate the Effect of Oxygen Therapy on Mortality in the ICU
Md Osman Gani, Shravan Kethireddy, Marvi Bikak +2
Recent advances in causal inference techniques, more specifically, in the theory of structural causal models, provide the framework for identification of causal effects from observ…
Identifying and Analyzing Sepsis States: A Retrospective Study on Patients with Sepsis in ICUs
Chih-Hao Fang, Vikram Ravindra, Salma Akhter +4
Sepsis accounts for more than 50% of hospital deaths, and the associated cost ranks the highest among hospital admissions in the US. Improved understanding of disease states, sever…
Collaborative Cloud Computing Framework for Health Data with Open Source Technologies
Fatemeh Rouzbeh, Ananth Grama, Paul Griffin +1
The proliferation of sensor technologies and advancements in data collection methods have enabled the accumulation of very large amounts of data. Increasingly, these datasets are c…
A Causally Formulated Hazard Ratio Estimation through Backdoor Adjustment on Structural Causal Model
Riddhiman Adib, Paul Griffin, Sheikh Iqbal Ahamed +1
Identifying causal relationships for a treatment intervention is a fundamental problem in health sciences. Randomized controlled trials (RCTs) are considered the gold standard for…