Principal Stratification - Uses and Limitations

被引：75
作者：
VanderWeele, Tyler J. [1 ]
机构：
[1] Harvard Univ, Cambridge, MA 02138 USA
来源：
INTERNATIONAL JOURNAL OF BIOSTATISTICS | 2011年 / 7卷 / 01期
关键词：
causal inference; mediation; non-compliance; potential outcomes; principal stratification; surrogates; SENSITIVITY-ANALYSIS; CAUSAL INFERENCE; RANDOMIZED EXPERIMENTS; POST-RANDOMIZATION; BAYESIAN-INFERENCE; MEDIATION ANALYSIS; END-POINTS; VIRAL LOAD; OUTCOMES; TRIALS;
D O I：
10.2202/1557-4679.1329
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
Pearl (2011) asked for the causal inference community to clarify the role of the principal stratification framework in the analysis of causal effects. Here, I argue that the notion of principal stratification has shed light on problems of non-compliance, censoring-by-death, and the analysis of post-infection outcomes; that it may be of use in considering problems of surrogacy but further development is needed; that it is of some use in assessing "direct effects"; but that it is not the appropriate tool for assessing "mediation." There is nothing within the principal stratification framework that corresponds to a measure of an "indirect" or "mediated" effect.
引用
收藏
页数：15
相关论文
共 51 条
[11]   On Estimation of the Survivor Average Causal Effect in Observational Studies When Important Confounders Are Missing Due to Death [J].
Egleston, Brian L. ;
Scharfstein, Daniel O. ;
MacKenzie, Ellen .
BIOMETRICS, 2009, 65 (02) :497-504
[12]   Bayesian inference for causal mediation effects using principal stratification with dichotomous mediators and outcomes [J].
Elliott, Michael R. ;
Raghunathan, Trivellore E. ;
Li, Yun .
BIOSTATISTICS, 2010, 11 (02) :353-372
[13]   Principal stratification in causal inference [J].
Frangakis, CE ;
Rubin, DB .
BIOMETRICS, 2002, 58 (01) :21-29
[14]   Principal stratification designs to estimate input data missing due to death [J].
Frangakis, Constantine E. ;
Rubin, Donald B. ;
An, Ming-Wen ;
MacKenzie, Ellen .
BIOMETRICS, 2007, 63 (03) :641-649
[15]   Mediation analysis with principal stratification [J].
Gallop, Robert ;
Small, Dylan S. ;
Lin, Julia Y. ;
Elliott, Michael R. ;
Joffe, Marshall ;
Ten Have, Thomas R. .
STATISTICS IN MEDICINE, 2009, 28 (07) :1108-1130
[16]   Sensitivity analysis for the assessment of causal vaccine effects on viral load in HIV vaccine trials [J].
Gilbert, PB ;
Bosch, RJ ;
Hudgens, MG .
BIOMETRICS, 2003, 59 (03) :531-541
[17]   Evaluating Candidate Principal Surrogate Endpoints [J].
Gilbert, Peter B. ;
Hudgens, Michael G. .
BIOMETRICS, 2008, 64 (04) :1146-1154
[18]   Randomization inference with imperfect compliance in the ACE-inhibitor after anthracycline randomized trial [J].
Greevy, R ;
Silber, JH ;
Cnaan, A ;
Rosenbaum, PR .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2004, 99 (465) :7-15
[19]   Local instrumental variables and latent variable models for identifying and bounding treatment effects [J].
Heckman, JJ ;
Vytlacil, EJ .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1999, 96 (08) :4730-4734
[20]   Causal vaccine effects on binary postinfection outcomes [J].
Hudgens, MG ;
Halloran, ME .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2006, 101 (473) :51-64
123456