Search Results for author:
Found 3 papers, 2 papers with code
An Open-Source Knowledge Graph Ecosystem for the Life Sciences
Translational research requires data at multiple scales of biological organization.
A standardized framework for risk-based assessment of treatment effect heterogeneity in observational healthcare databases
The Predictive Approaches to Treatment Effect Heterogeneity statement focused on baseline risk as a robust predictor of treatment effect and provided guidance on risk-based assessment of treatment effect heterogeneity in the RCT setting.
Logistic regression models for patient-level prediction based on massive observational data: Do we need all data?
Objective: Provide guidance on sample size considerations for developing predictive models by empirically establishing the adequate sample size, which balances the competing objectives of improving model performance and reducing model complexity as well as computational requirements.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
