Fetching the paper…
Reading the bibliography…
We extend the definition of the marginal causal effect to the continuous treatment setting and develop a novel characterization of causal bias in the framework of structural causal models.
Modeling of dose-response relationships
Altshuler, B · 1981
Earlier work this paper cites.
The central role of the propensity score in observational studies for causal effects
Rosenbaum, P. R. and Rubin, D. B · 1983
Earlier work this paper cites.
Laplace approximation of high dimensional integrals
Shun, Z. and McCullagh, P · 1995
Earlier work this paper cites.
An Introduction to Variational Methods for Graphical Models
Jordan, M., Jaakkola, and Saul, L · 1999
Earlier work this paper cites.
The role of the propensity score in estimating dose-response functions
Imbens, G. W · 2000
Earlier work this paper cites.
Causation, Prediction, and Search
Spirtes, P., Glymour, C., and Scheines, R · 2000
Earlier work this paper cites.
An introduction to sequential monte carlo methods
Doucet, A., De Freitas, N., and Gordon, N · 2001
Earlier work this paper cites.
Causal inference for complex longitudinal data: The continuous case
Gill, R. D. and Robins, J. M · 2001
Earlier work this paper cites.
Causal inference from graphical models
Lauritzen, S. L · 2001
Earlier work this paper cites.
Annealed importance sampling
Neal, R. M · 2001
Earlier work this paper cites.
The propensity score with continuous treatments
Hirano, K. and Imbens, G. W · 2004
Earlier work this paper cites.
Causal inference with general treatment regimes: Generalizing the propensity score
Imai, K. and Van Dyk, D. A · 2004
Earlier work this paper cites.
Pattern Recognition and Machine Learning
Bishop, C. M · 2006
Earlier work this paper cites.
Identification of joint interventional distributions in recursive semi-Markovian causal models
Shpitser, I. and Pearl, J · 2006
Earlier work this paper cites.
Mostly harmless econometrics: An empiricist’s companion
Angrist, J. D. and Pischke, J.-S · 2008
Earlier work this paper cites.
Probabilistic Graphical Models: Principles and Techniques
Koller, D. and Friedman, N · 2009
Cited alongside, same era.
Bart: Bayesian additive regression trees
Chipman, H. A., George, E. I., McCulloch, R. E., et al · 2010
Cited alongside, same era.
Design of observational studies , volume 10
Rosenbaum, P. R. et al · 2010
Cited alongside, same era.
On the validity of covariate adjustment for estimating causal effects
Shpitser, I., VanderWeele, T., and Robins, J. M · 2010
Cited alongside, same era.
Handbook of Markov Chain Monte Carlo
Brooks, S., Gelman, A., Jones, G., and Meng, X.-L · 2011
Cited alongside, same era.
Bayesian nonparametric modeling for causal inference
Hill, J. L · 2011
Cited alongside, same era.
Observational-interventional priors for dose-response learning
Silva, R · 2016
Later among the works it cites.
Model criticism for Bayesian causal inference
Tran, D., Ruiz, F. J., Athey, S., and Blei, D. M · 2016
Later among the works it cites.
Variational inference: A review for statisticians
Blei, D. M., Kucukelbir, A., and McAuliffe, J. D · 2017
Later among the works it cites.
Nonparametric methods for doubly robust estimation of continuous treatment effects
Kennedy, E. H., Ma, Z., McHugh, M. D., and Small, D. S · 2017
Later among the works it cites.
Double/debiased machine learning for treatment and structural parameters, 2018
Chernozhukov, V., Chetverikov, D., Demirer, M., Duflo, E., Hansen, C., Newey, W., and Robins, J · 2018
Later among the works it cites.
Structure learning under missing data
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Murphy, K. P · 2012
Cited alongside, same era.
Graphical causal models
Elwert, F · 2013
Cited alongside, same era.
Adam: A method for stochastic optimization
Kingma, D. P. and Ba, J · 2014
Cited alongside, same era.
Estimating conditional average treatment effects
Abrevaya, J., Hsu, Y.-C., and Lieli, R. P · 2015
Cited alongside, same era.
Causal inference in statistics, social, and biomedical sciences
Imbens, G. W. and Rubin, D. B · 2015
Cited alongside, same era.
Variational inference with normalizing flows
Rezende, D. and Mohamed, S · 2015
Cited alongside, same era.
Gain, A. and Shpitser, I · 2018
Later among the works it cites.
Matching on generalized propensity scores with continuous exposures
Wu, X., Mealli, F., Kioumourtzoglou, M.-A., Dominici, F., and Braun, D · 2018
Later among the works it cites.
Assessing covariate balance when using the generalized propensity score with quantitative or continuous exposures
Austin, P. C · 2019
Later among the works it cites.
Statistical analysis with missing data , volume 793
Little, R. J. and Rubin, D. B · 2019
Later among the works it cites.
Normalizing flows for probabilistic modeling and inference
Papamakarios, G., Nalisnick, E., Rezende, D. J., Mohamed, S., and Lakshminarayanan, B · 2019
Later among the works it cites.
Making sense of sensitivity: Extending omitted variable bias
Cinelli, C. and Hazlett, C · 2020
Later among the works it cites.
Causal inference: What if, 2020
Hernán, M. A. and Robins, J. M · 2020
Later among the works it cites.
Parameterising the effect of a continuous exposure using average derivative effects, 2021
Hines, O., Diaz-Ordaz, K., and Vansteelandt, S · 2021
Closest in time.
Machine learning for causal inference: On the use of cross-fit estimators
Zivich, P. N. and Breskin, A · 2021
Closest in time.