Estimation of Causal Effects with Multiple Treatments: A Review and New Ideas

The propensity score is a common tool for estimating the causal effect of a binary treatment in observational data. In this setting, matching, subclassification, imputation, or inverse probability weighting on the propensity score can reduce the initial covariate bias between the treatment and contr...

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Bibliographic Details
Authors: Gutman, Roee (Author) ; Lopez, Michael J. (Author)
Format: Electronic Book
Language:English
Published: 2017
In:Year: 2017
Online Access: Volltext (kostenfrei)
Volltext (kostenfrei)
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