Population heterogeneity and causal inference

By Yu Xie. 2013

111 citations recorded by the source corpus.

Subfields: 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 Statistics and Probability

1. Ahmed M. Alaa
2. Mihaela van der Schaar
3. Kristina Lerman
4. Nazanin Alipourfard
5. Peter G. Fennell
6. Ioana Bica
7. James Jordon
8. Craig Lambert

Citations in the corpus

• Can you Trust the Trend?: Discovering Simpson's Paradoxes in Social Data (2018, background): “Data heterogeneity also impacts statistical analysis of data [7] and causal inference [21].”
• Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms (2017, background): “We focus on Bayesian nonparametric learning algorithms, as they are immune to model mis-specification, and can learn highly heterogeneous response functions that one would expect to encounter in datasets with medical or social outcomes [3], [20].”