20 citations · 35 across the 12 of their papers we have counts for
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stat.ME2022
TreatmentEstimatoR: a Dashboard for Estimating Treatment Effects from Observational Health Data
Collin Sakal, Hon Hwang, Juan C Quiroz +1
Observational health data can be leveraged to measure the real-world use and potential benefits or risks of existing medical interventions. However, lack of programming proficiency…
stat.ME2021★ 6 cited
Assessing the effectiveness of empirical calibration under different bias scenarios
Hon Hwang, Juan C Quiroz, Blanca Gallego
Background: Estimations of causal effects from observational data are subject to various sources of bias. One method of adjusting for the residual biases in the estimation of a tre…
stat.ME2019★ 20 cited
Targeted Estimation of Heterogeneous Treatment Effect in Observational Survival Analysis
Jie Zhu, Blanca Gallego
The aim of clinical effectiveness research using repositories of electronic health records is to identify what health interventions 'work best' in real-world settings. Since there…