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20142026
most citedIndependence weights for causal inference with continuous treatments

32 citations · 53 across the 14 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

stat.AP2021

Minimum Resource Threshold Policy Under Partial Interference

Chan Park, Guanhua Chen, Menggang Yu +1

When developing policies for prevention of infectious diseases, policymakers often set specific, outcome-oriented targets to achieve. For example, when developing a vaccine allocat…

stat.ME2021★ 32 cited

Independence weights for causal inference with continuous treatments

Jared D. Huling, Noah Greifer, Guanhua Chen

Studying causal effects of continuous treatments is important for gaining a deeper understanding of many interventions, policies, or medications, yet researchers are often left wit…

stat.ME2021★ 3 cited

A Generalizability Score for Aggregate Causal Effect

Rui Chen, Guanhua Chen, Menggang Yu

Scientists frequently generalize population level causal quantities such as average treatment effect from a source population to a target population. When the causal effects are he…

stat.AP2021★ 2 cited

More Generalizable Models For Sepsis Detection Under Covariate Shift

Jifan Gao, Philip L. Mar, Guanhua Chen

Sepsis is a major cause of mortality in the intensive care units (ICUs). Early intervention of sepsis can improve clinical outcomes for sepsis patients. Machine learning models hav…

stat.ML2021★ 4 cited

Robust Sample Weighting to Facilitate Individualized Treatment Rule Learning for a Target Population

Rui Chen, Jared D. Huling, Guanhua Chen +1

Learning individualized treatment rules (ITRs) is an important topic in precision medicine. Current literature mainly focuses on deriving ITRs from a single source population. We c…