Transportability across studies: A formal approach

By Judea Pearl, Elias Bareinboim. 2011

85 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Statistics and Probability

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Citations in the corpus

The Causal Foundations of Structural Equation Modeling (2012, methodology): “This problem has recently received a formal treatment using nonparametric SEM, and has led to algorithmic criteria for deciding the legitimacy of the transfer as well as the way it ought to be executed (Pearl and Bareinboim, 2010).”
The International Journal of Biostatistics Principal Stratification — a Goal or a Tool ? (2011, unknown): “…(Z) and the endpoint (Y ), and does not require good predictions under the new conditions created when data on the surrogate alone are available.2 Pearl and Bareinboim (2011) present examples where a post-treatment vari- able Z passes the “principal surrogacy” test and yet it is useless as a…”
Standardization and Control for Confounding in Observational Studies: A Historical Perspective (2015, background): “Pearl and Barenboim (2012) noted that precise conditions for applying concrete results obtained in a study environment to another “target” environment, remarkably. . . have not received systematic formal treatment. . .”
An adversarial approach for the robust classification of pneumonia from chest radiographs (2020, methodology): “of previously used approaches for modeling medical images in the presence of confounders. 3.4.1 Instance sampling. One approach to domain adaptation involves re-weighting samples in the training data [16, 23, 31, 34]. We re-implement the approach suggested in Rao et al., called Instance Weighting [2”
Compound treatments, transportability, and the structural causal model: the power and simplicity of causal graphs. (2011, unknown): “Recently, Pearl and Bareinboim 5 demonstrated the use of causal graphs for this purpose; in this study, I outline their proposed approach.”
Handbook of Big Data (2016, methodology): “The comment also alludes to the possibility that very diﬀerent types of information could be represented by the blocks, and this is indeed made use of by the AN software (see Sections 6.3.3 and 6.3.4)”
The Mediation Formula: A Guide to the Assessment of Causal Pathways in Nonlinear Models (2011, background): “…causal mechanisms, it is hard to accept the PSDE restriction that nature’s pathways should depend on whether we have 12Joffe and Green (2009) and Pearl and Bareinboim (2011) examine the adequacy of the “principal-strata” definition of surrogate outcomes; a notion related, though not identical…”
Transportability of Causal and Statistical Relations: A Formal Approach (2011, methodology): “5 represents a more challenging selection diagram, which requires several iterations to discern transportability, and yields (derived in [5]):”