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The International Journal of Biostatistics

Ed. by Chambaz, Antoine / Hubbard, Alan E. / van der Laan, Mark J.

2 Issues per year

IMPACT FACTOR 2013: 0.948

SCImago Journal Rank (SJR): 1.039
Source Normalized Impact per Paper (SNIP): 0.746

Mathematical Citation Quotient 2013: 0.04

A Refreshing Account of Principal Stratification

Fabrizia Mealli1 / Alessandra Mattei2

1University of Florence

2University of Florence

Citation Information: The International Journal of Biostatistics. Volume 8, Issue 1, ISSN (Online) 1557-4679, DOI: 10.1515/1557-4679.1380, April 2012

Publication History

Published Online:

Pearl (2011) invites researchers to contribute to a discussion on the logic and utility of principal stratification in causal inference, raising some thought-provoking questions. In our commentary, we discuss the role of principal stratification in causal inference, describing why we view the principal stratification framework as useful for addressing causal inference problems where causal estimands are defined in terms of intermediate outcomes. We focus on mediation analysis and principal stratification analysis, showing that they generally involve different causal estimands and answer different questions. We argue that even when principal stratification may not answer the causal questions of primary interest, it can be a preliminary analysis of the data to assess the plausibility of identifying assumptions. We also discuss the use of principal stratification to address issues of surrogate outcomes. Our discussion stresses that a principal stratification analysis should account for all the principal strata and evaluate the distributions of potential outcomes in each of the principal strata. To this end, we view a Bayesian analysis particularly suited for drawing inference on principal strata membership and principal strata effects.

Keywords: Causal Inference; Mediation Analysis; Principal Stratificafition; Principal Causal Effects; Surrogacy

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