Nonparametric causal effects based on marginal structural models
By Romain Neugebauer, M. J. van der Laan. 2007
131 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/3d5a8604bb53c2b8d2dfe4332f4dca26bf635ae1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Statistics and Probability
- Peter Bhlmann
- Michael J. Kane
- Petros Drineas
- M. J. van der Laan
- Susan Athey
- Edward H. Kennedy
- Michael W. Mahoney
- Stefan Wager
Citations in the corpus
- Handbook of Big Data (2016, methodology): “Instead, we can use a working marginal structural model as a summary of the causal relationship of interest [32].”
- Targeted Data Adaptive Estimation of the Causal Dose–Response Curve (2013, unknown): “[16] and Neugebauer and van der Laan [17].”