| Literature DB >> 22049269 |
Abstract
Pearl's article provides a useful springboard for discussing further the benefits and drawbacks of principal stratification and the associated discomfort with attributing effects to post-treatment variables. The basic insights of the approach are important: pay close attention to modification of treatment effects by variables not observable before treatment decisions are made, and be careful in attributing effects to variables when counterfactuals are ill-defined. These insights have often been taken too far in many areas of application of the approach, including instrumental variables, censoring by death, and surrogate outcomes. A novel finding is that the usual principal stratification estimand in the setting of censoring by death is by itself of little practical value in estimating intervention effects.Entities:
Keywords: causal inference; principal stratification
Mesh:
Year: 2011 PMID: 22049269 PMCID: PMC3204670 DOI: 10.2202/1557-4679.1367
Source DB: PubMed Journal: Int J Biostat ISSN: 1557-4679 Impact factor: 0.968