Funder
Defense Advanced Research Projects Agency
National Science Foundation
Office of Naval Research
Publisher
Springer Science and Business Media LLC
Reference28 articles.
1. Bareinboim E, Pearl J. Causal inference and the data-fusion problem. Proc Natl Acad Sci. 2016;113(27):7345–52.
2. Cinelli C, Hazlett C. Making sense of sensitivity: extending omitted variable bias. J R Stat Soc Ser B (Stat Methodol). 2020;82:39–67.
3. Cinelli C, Kumor D, Chen B, Pearl J, Bareinboim E. Sensitivity analysis of linear structural causal models. In: International conference on machine learning; 2019.
4. Dahabreh IJ, Petito LC, Robertson SE, Hernán MA, Steingrimsson JA. Toward causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a new target population. Epidemiology. 2020;31(3):334–44.
5. Geiger D, Verma T, Pearl J. Identifying independence in Bayesian networks. Networks. 1990;20(5):507–34.
Cited by
8 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献