The effect of COVID-19 on self-reported safety incidents in aviation: An examination of the heterogeneous effects using causal machine learning

Author:

Choi YoungranORCID,Gibson James R.ORCID

Publisher

Elsevier BV

Subject

Safety, Risk, Reliability and Quality,Building and Construction

Reference61 articles.

1. Abraham, N. (2022). Hazard classification of federal aviation administration (FAA) unmanned aircraft systems (UAS) sightings reports using machine learning. Retrieved from https://go.exlibris.link/w620Jn10.

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3. Alaminos-Torres, A., Martinez-Lorca, M., Sifre De Sola, I., López-Ejeda, N., & Dolores Marrodán, M. (2021). Psychological distress in spanish airline pilots during the aviation crisis caused by the COVID-19 pandemic and psychometric analysis of the 12-item general health questionnaire Informa UK Limited. https://doi.org/10.1080/00140139.2021.1984587.

4. Recursive partitioning for heterogeneous causal effects;Athey;Proceedings of the National Academy of Sciences - PNAS,2016

5. Generalized random forests;Athey;Annals of Statistics,2019

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