Publikationsdatum:
2016-07-06
Beschreibung:
In this paper we propose methods for estimating heterogeneity in causal effects in experimental and observational studies and for conducting hypothesis tests about the magnitude of differences in treatment effects across subsets of the population. We provide a data-driven approach to partition the data into subpopulations that differ in the...
Schlagwort(e):
Sackler Colloquium on Drawing Causal Inference from Big Data
Print ISSN:
0027-8424
Digitale ISSN:
1091-6490
Thema:
Biologie
,
Medizin
,
Allgemeine Naturwissenschaft
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