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20132025
most citedMachine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities

693 citations

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5 papers · 1 filter

stat.ME2020★ 3 cited

Causal mediation analysis decomposition of between-hospital variance

Bo Chen, Keith A. Lawson, Antonio Finelli +1

Causal variance decompositions for a given disease-specific quality indicator can be used to quantify differences in performance between hospitals or health care providers. While v…

stat.ME2020★ 1 cited

Hierarchical causal variance decomposition for institution and provider comparisons in healthcare

Bo Chen, Olli Saarela

Disease-specific quality indicators (QIs) are used to compare institutions and health care providers in terms processes or outcomes relevant to treatment of a particular condition.…

stat.ME2020★ 1 cited

Instrumental variable estimation of early treatment effect in randomized screening trials

Sudipta Saha, Zhihui Liu, Olli Saarela

The primary analysis of randomized screening trials for cancer typically adheres to the intention-to-screen principle, measuring cancer-specific mortality reductions between screen…

stat.ME2020★ 4 cited

DCMD: Distance-based Classification Using Mixture Distributions on Microbiome Data

Konstantin Shestopaloff, Mei Dong, Fan Gao +1

Current advances in next generation sequencing techniques have allowed researchers to conduct comprehensive research on microbiome and human diseases, with recent studies identifyi…

stat.ME2019★ 10 cited

Causal variance decompositions for institutional comparisons in healthcare

Bo Chen, Keith A. Lawson, Antonio Finelli +1

There is increasing interest in comparing institutions delivering healthcare in terms of disease-specific quality indicators (QIs) that capture processes or outcomes showing variat…