Fetching the paper…
Reading the bibliography…
The method of covariate adjustment is often used for estimation of population average treatment effects in observational studies.
A unifying approach for doubly-robust l 1 l_{1} regularized estimation of causal contrasts
Smucler, E., Rotnitzky, A., and Robins, J. M. (2019) · 1904
Earlier work this paper cites.
Graphical criteria for efficient total effect estimation via adjustment in causal linear models
Henckel, L., Perković, E., and Maathuis, M. H. (2019) · 1907
Earlier work this paper cites.
Permutation-based causal inference algorithms with interventions
Wang, Y., Solus, L., Yang, K. D., and Uhler, C. (2017) · 1912
Earlier work this paper cites.
Topological sorting of large networks
Kahn, A. B. (1962) · 1962
Earlier work this paper cites.
Complete identification methods for the causal hierarchy
Shpitser, I. and Pearl, J. (2008) · 1979
Earlier work this paper cites.
A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
Robins, J. (1986) · 1986
Earlier work this paper cites.
Addendum to “a new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect”
Robins, J. M. (1987) · 1987
Earlier work this paper cites.
Semiparametric efficiency bounds
Newey, W. K. (1990) · 1990
Earlier work this paper cites.
Causal networks: Semantics and expressiveness
Verma, T. and Pearl, J. (1990) · 1990
Earlier work this paper cites.
Recovery of information and adjustment for dependent censoring using surrogate markers
Robins, J. M. and Rotnitzky, A. (1992) · 1992
Earlier work this paper cites.
Efficient and adaptive estimation for semiparametric models
Bickel, P. J., Klaassen, C. A., Ritov, Y., and Wellner, J. A. (1993) · 1993
Earlier work this paper cites.
Estimation of regression coefficients when some regressors are not always observed
Robins, J. M., Rotnitzky, A., and Zhao, L. P. (1994) · 1994
Earlier work this paper cites.
Causal inference and causal explanation with background knowledge
Meek, C. (1995) · 1995
Earlier work this paper cites.
Probabilistic evaluation of sequential plans from causal models with hidden variables
Pearl, J. and Robins, J. M. (1995) · 1995
Earlier work this paper cites.
Semiparametric efficiency in multivariate regression models with missing data
Robins, J. M. and Rotnitzky, A. (1995) · 1995
Earlier work this paper cites.
Graphical Models
Lauritzen, S. L. (1996) · 1996
Cited alongside, same era.
A characterization of markov equivalence classes for acyclic digraphs
Andersson, S. A., Madigan, D., Perlman, M. D., et al. (1997) · 1997
Cited alongside, same era.
On the role of the propensity score in efficient semiparametric estimation of average treatment effects
Hahn, J. (1998) · 1998
Cited alongside, same era.
The tetrad project: Constraint based aids to causal model specification
Scheines, R., Spirtes, P., Glymour, C., Meek, C., and Richardson, T. (1998) · 1998
Cited alongside, same era.
Causality: models, reasoning and inference
Pearl, J. (2000) · 2000
Cited alongside, same era.
Causation, prediction, and search
Spirtes, P., Glymour, C. N., Scheines, R., Heckerman, D., Meek, C., Cooper, G., and Richardson, T. (2000) · 2000
Cited alongside, same era.
Alternative graphical causal models and the identification of direct effects
Robins, J. M. and Richardson, T. S. (2010) · 2010
Later among the works it cites.
On the validity of covariate adjustment for estimating causal effects
Shpitser, I., VanderWeele, T., and Robins, J. M. (2010) · 2010
Later among the works it cites.
A new criterion for confounder selection
VanderWeele, T. J. and Shpitser, I. (2011) · 2011
Later among the works it cites.
Characterization and greedy learning of interventional markov equivalence classes of directed acyclic graphs
Hauser, A. and Bühlmann, P. (2012) · 2012
Later among the works it cites.
Counterfactual reasoning and learning systems: The example of computational advertising
Bottou, L., Peters, J., Quiñonero-Candela, J., Charles, D. X., Chickering, D. M., Portugaly, E., Ray, D., Simard, P., and Snelson, E. (2013) · 2013
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Asymptotic statistics
Van der Vaart, A. W. (2000) · 2000
Cited alongside, same era.
Learning equivalence classes of bayesian-network structures
Chickering, D. M. (2002) · 2002
Cited alongside, same era.
On the testable implications of causal models with hidden variables
Tian, J. and Pearl, J. (2002) · 2002
Cited alongside, same era.
Efficient estimation of average treatment effects using the estimated propensity score
Hirano, K., Imbens, G. W., and Ridder, G. (2003) · 2003
Cited alongside, same era.
Covariate selection for estimating the causal effect of control plans by using causal diagrams
Kuroki, M. and Miyakawa, M. (2003) · 2003
Cited alongside, same era.
Unified methods for censored longitudinal data and causality
Van der Laan, M. and Robins, J. M. (2003) · 2003
Cited alongside, same era.
Single world intervention graphs (swigs): A unification of the counterfactual and graphical approaches to causality
Richardson, T. S. and Robins, J. M. (2013) · 2013
Later among the works it cites.
Markovian acyclic directed mixed graphs for discrete data
Evans, R. J., Richardson, T. S., et al. (2014) · 2014
Later among the works it cites.
A generalized back-door criterion
Maathuis, M. H. and Colombo, D. (2015) · 2015
Later among the works it cites.
Graphs for margins of Bayesian Networks
Evans, R. J. (2016) · 2016
Later among the works it cites.
Structure learning of linear gaussian structural equation models with weak edges
Eigenmann, M., Nandy, P., and Maathuis, M. H. (2017) · 2017
Later among the works it cites.
Econometric methods for program evaluation
Abadie, A. and Cattaneo, M. D. (2018) · 2018
Later among the works it cites.
Double/debiased machine learning for treatment and structural parameters
Chernozhukov, V., Chetverikov, D., Demirer, M., Duflo, E., Hansen, C., Newey, W., and Robins, J. (2018) · 2018
Later among the works it cites.
Causal inference
Hernan, M. A. and Robins, J. M. (2019) · 2019
Closest in time.
Finding minimal d-separators in linear time and applications
van der Zander, B. and Liskiewicz, M. (2019) · 2019
Closest in time.