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Unobserved confounding is a central barrier to drawing causal inferences from observational data.
Assessing sensitivity to an unobserved binary covariate in an observational study with binary outcome
Rosenbaum, P. R. and D. B. Rubin (1983) · 1983
Earlier work this paper cites.
Structural Equation Models with Latent Variables
Bollen, K. A. (1989) · 1989
Earlier work this paper cites.
Rank, decomposition, and uniqueness for three-way and n-way arrays
Kruskal, J. (1989) · 1989
Earlier work this paper cites.
Multivariate models and multivariate dependence concepts
Joe, H. (1997) · 1997
Earlier work this paper cites.
An introduction to copulas
Nelsen, R. B. (2007) · 2007
Earlier work this paper cites.
Identifiability of parameters in latent structure models with many observed variables
Allman, E. S., C. Matias, J. A. Rhodes, et al. (2009) · 2009
Earlier work this paper cites.
Identification for prediction and decision
Manski, C. F. (2009) · 2009
Cited alongside, same era.
Causality
Pearl, J. (2009) · 2009
Cited alongside, same era.
Measurement bias and effect restoration in causal inference
Kuroki, M. and J. Pearl (2014) · 2014
Cited alongside, same era.
Identifying causal effects with proxy variables of an unmeasured confounder
Miao, W., Z. Geng, and E. Tchetgen (2016) · 2016
Cited alongside, same era.
Causal effect inference with deep latent-variable models
Louizos, C., U. Shalit, J. M. Mooij, D. Sontag, R. Zemel, and M. Welling (2017) · 2017
Cited alongside, same era.
Implicit causal models for genome-wide association studies
Tran, D. and D. M. Blei (2017) · 2017
Cited alongside, same era.
Flexible sensitivity analysis for observational studies without observable implications
Franks, A., A. D’Amour, and A. Feller (2018) · 2018
Later among the works it cites.
Multiple causal inference with latent confounding
Ranganath, R. and A. Perotte (2018) · 2018
Later among the works it cites.
Multiply robust causal inference with double negative control adjustment for unmeasured confounding
Shi, X., W. Miao, and E. T. Tchetgen (2018) · 2018
Later among the works it cites.
The blessings of multiple causes
Wang, Y. and D. M. Blei (2018) · 2018
Later among the works it cites.
The deconfounded recommender: A causal inference approach to recommendation
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Wang, Y., D. Liang, L. Charlin, and D. M. Blei (2018) · 2018
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