Sensitivity analysis of unmeasured confounding in causal inference based on exponential tilting and super learner

Zhou, Mi; Yao, Weixin

doi:10.1080/02664763.2021.1999398

Sensitivity analysis of unmeasured confounding in causal inference based on exponential tilting and super learner

Journal Article · 10 November 2021 · Journal of Applied Statistics

DOI:https://doi.org/10.1080/02664763.2021.1999398· OSTI ID:2418506

Zhou, Mi ^[1]; Yao, Weixin ^[2]

Department of Statistics, University of California, Riverside, CA, USA; OSTI
Department of Statistics, University of California, Riverside, CA, USA

Not provided.

Research Organization:: Electric Power Research Inst. (EPRI), Palo Alto, CA (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE)

DOE Contract Number:: EE0007328

OSTI ID:: 2418506

Journal Information:: Journal of Applied Statistics, Journal Name: Journal of Applied Statistics Journal Issue: 3 Vol. 50; ISSN 0266-4763

Publisher:: Taylor & Francis

Country of Publication:: United States

Language:: English

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