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Principal stratification in causal inference
C. E. Frangakis
, D. B. Rubin
Bloomberg School of Public Health
Research output
:
Contribution to journal
›
Article
›
peer-review
802
Scopus citations
Overview
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Mathematics
Principal Stratification
100%
Causal Inference
79%
Causal Effect
77%
Noncompliance
25%
Surrogate Endpoint
13%
Drop out
11%
Biomarkers
10%
Complications
9%
Standards
9%
Deficiency
9%
Censoring
8%
Attack
8%
Adjustment
8%
Assignment
7%
Covariates
7%
Interpretation
5%
Framework
4%
Agriculture & Biology
dropouts
92%
endpoints
63%
biomarkers
53%
death
45%
pretreatment
43%
methodology
15%
Chemical Compounds
Biological Marker
53%
Reaction Yield
23%
Application
18%
Medicine & Life Sciences
Biomarkers
38%
Joints
20%
Engineering & Materials Science
Biomarkers
36%