Causal inference: Critical developments, past and future
Author:
Affiliation:
1. Department of Epidemiology and Biostatistics McGill University, 2001 McGill College Ave Montréal Quebec Canada H3A 1G1
2. Department of Mathematics and Statistics McGill University, 805 Sherbrooke St W Montréal Quebec Canada H3A 2K6
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
Wiley
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/cjs.11718
Reference86 articles.
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2. Identification of causal effects using instrumental variables;Angrist J. D.;Journal of the American Statistical Association,1996
3. Recursive partitioning for heterogeneous causal effects;Athey S.;Proceedings of the National Academy of Sciences,2016
4. Doubly‐robust estimation in missing data and causal inference models;Bang H.;Biometrics,2005
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