Complications in Causal Inference: Incorporating Information Observed After Treatment is Assigned
Randomized experiments are the gold standard for inferring causal effects of treatments. However, complications often arise in randomized experiments when trying to incorporate additional information that is observed after the treatment has been randomly assigned. The principal stratification fram...
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| Language: | en_US |
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Harvard University
2014
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| Online Access: | http://dissertations.umi.com/gsas.harvard:11436 http://nrs.harvard.edu/urn-3:HUL.InstRepos:12271788 |