A Primer on Inverse Probability of Treatment Weighting and Marginal Structural Models
By F. Thoemmes, A. Ong. 2016
201 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/bdf273f2db7b981725003f2d6811eecee9c926b1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
In Statistics and Probability
Citations in the corpus
- An introduction to inverse probability of treatment weighting in observational research (2021, unknown): “Under these circumstances, IPTW can be applied to appropriately estimate the parameters of a marginal structural model (MSM) and adjust for confounding measured over time [35, 36].”
- Forecasting Treatment Responses Over Time Using Recurrent Marginal Structural Networks (2018, methodology): “Using the probability of a treatment assignment, conditioned on past exposures and covariate history, MSMs typically adopt inverse probability of treatment weighting (IPTW) to correct for bias in standard regression methods [22], re-constructing a ‘pseudo-population’ from the observational dataset t”