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Application of the Principal Stratification Approach to the Faenza Randomized Experiment on Breast Self‐Examination
Author(s) -
Mattei A.,
Mealli F.
Publication year - 2007
Publication title -
biometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.298
H-Index - 130
eISSN - 1541-0420
pISSN - 0006-341X
DOI - 10.1111/j.1541-0420.2006.00684.x
Subject(s) - randomized controlled trial , truncation (statistics) , context (archaeology) , principal (computer security) , stratification (seeds) , biometrics , computer science , randomized experiment , medicine , artificial intelligence , machine learning , surgery , computer security , pathology , geography , biology , seed dormancy , botany , germination , dormancy , archaeology
Summary In this article we present an extended framework based on the principal stratification approach (Frangakis and Rubin, 2002, Biometrics 58, 21–29), for the analysis of data from randomized experiments which suffer from treatment noncompliance, missing outcomes following treatment noncompliance, and “truncation by death.” We are not aware of any previous work that addresses all these complications jointly. This framework is illustrated in the context of a randomized trial of breast self‐examination.