Challenges With Propensity Score Strategies in a High-Dimensional Setting and a Potential Alternative
By Jennifer L. Hill, C. Weiss, F. Zhai. 2011
59 citations recorded by the source corpus.
Subfields: Education, Statistics and Probability
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Education
In Statistics and Probability
- Yu-Sung Su
- Jennifer L. Hill
- Mihaela van der Schaar
- Ahmed M. Alaa
- Stefan Wager
- Susan Athey
- Andrew Gelman
- Jack Dunn
Citations in the corpus
- Estimating treatment effect heterogeneity in randomized program evaluation (2013, neutral): “E S T IM A T IN G T R E A T M E N T E F F E C T H E T E R O G E N E IT Y 1 5 1 6 K .”
- The Statistics of Causal Inference: A View from Political Methodology (2015, unknown): “Hill, Weiss, and Zhai (2011) and Hill (2011) show how very flexible nonparametric methods that are loosely regression based can be used to estimate causal effects.”
- Assessing lack of common support in causal inference using bayesian nonparametrics: Implications for evaluating the effect of breastfeeding on children's cognitive outcomes (2013, methodology): “Hill (2011) provides evidence of superior performance of BART relative to popular causal inference strategies in the context of nonlinear response surfaces.”