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Literature DB >> 21556288

Principal stratification--a goal or a tool?

Abstract

Principal stratification has recently become a popular tool to address certain causal inference questions, particularly in dealing with post-randomization factors in randomized trials. Here, we analyze the conceptual basis for this framework and invite response to clarify the value of principal stratification in estimating causal effects of interest.

Keywords: causal inference; direct effect; mediation; principal stratification; surrogate endpoints

Mesh：

Year: 2011 PMID： 21556288 PMCID： PMC3083139 DOI： 10.2202/1557-4679.1322

Source DB: PubMed Journal: Int J Biostat ISSN： 1557-4679 Impact factor: 0.968

18 in total

1. Principal stratification in causal inference.

Authors: Constantine E Frangakis; Donald B Rubin
Journal: Biometrics Date: 2002-03 Impact factor: 2.571

2. The causal mediation formula--a guide to the assessment of pathways and mechanisms.

Authors: Judea Pearl
Journal: Prev Sci Date: 2012-08

3. Invited commentary: Decomposing with a lot of supposing.

Authors: Jay S Kaufman
Journal: Am J Epidemiol Date: 2010-10-29 Impact factor: 4.897

4. Opening the Black Box: a motivation for the assessment of mediation.

Authors: Danella M Hafeman; Sharon Schwartz
Journal: Int J Epidemiol Date: 2009-03-04 Impact factor: 7.196

5. Related causal frameworks for surrogate outcomes.

Authors: Marshall M Joffe; Tom Greene
Journal: Biometrics Date: 2009-06 Impact factor: 2.571

Review 6. Conceptual problems in the definition and interpretation of attributable fractions.

Authors: S Greenland; J M Robins
Journal: Am J Epidemiol Date: 1988-12 Impact factor: 4.897

7. Identifiability, exchangeability, and epidemiological confounding.

Authors: S Greenland; J M Robins
Journal: Int J Epidemiol Date: 1986-09 Impact factor: 7.196

8. A principal stratification approach to assess the differences in prognosis between cancers caused by hormone replacement therapy and by other factors.

Authors: Arvid Sjolander; Stijn Vansteelandt; Keith Humphreys
Journal: Int J Biostat Date: 2010 Impact factor: 0.968

9. Generalized causal mediation analysis.

Authors: Jeffrey M Albert; Suchitra Nelson
Journal: Biometrics Date: 2011-02-09 Impact factor: 2.571

10. The social gradient in birthweight at term: quantification of the mediating role of maternal smoking and body mass index.

Authors: Laust H Mortensen; Finn Diderichsen; George Davey Smith; Anne Marie Nybo Andersen
Journal: Hum Reprod Date: 2009-06-16 Impact factor: 6.918

23 in total

Principal stratification--a goal or a tool?

1. Principal stratification in causal inference.

2. The causal mediation formula--a guide to the assessment of pathways and mechanisms.

3. Invited commentary: Decomposing with a lot of supposing.

4. Opening the Black Box: a motivation for the assessment of mediation.

5. Related causal frameworks for surrogate outcomes.

Review 6. Conceptual problems in the definition and interpretation of attributable fractions.

7. Identifiability, exchangeability, and epidemiological confounding.

8. A principal stratification approach to assess the differences in prognosis between cancers caused by hormone replacement therapy and by other factors.

9. Generalized causal mediation analysis.

10. The social gradient in birthweight at term: quantification of the mediating role of maternal smoking and body mass index.

1. Commentary on "Principal stratification - a goal or a tool?" by Judea Pearl.

2. Principal stratification and attribution prohibition: good ideas taken too far.

3. Nonparametric Bounds and Sensitivity Analysis of Treatment Effects.

4. A causal framework for classical statistical estimands in failure-time settings with competing events.

5. Clarifying the role of principal stratification in the paired availability design.

6. Principal stratification--uses and limitations.

7. The challenging interpretation of instrumental variable estimates under monotonicity.

8. Bounded, efficient and multiply robust estimation of average treatment effects using instrumental variables.

9. Estimating the health benefit of reducing indoor air pollution in a randomized environmental intervention.

10. Deep determinism and the assessment of mechanistic interaction.