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Wiley InterScience

Journal of the Royal Statistical Society: Series C (Applied Statistics)

Journal of the Royal Statistical Society: Series C (Applied Statistics)

Volume 56 Issue 2, Pages 211 - 221

Published Online: 23 Mar 2007

© 2010 The Royal Statistical Society and Blackwell Publishing Ltd



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Estimating efficacy in a proposed randomized trial with initial and later non-compliance
Stuart G. Baker 1 , Constantine Frangakis 2 and Karen S. Lindeman 3
  1 National Institutes of Health, Bethesda, USA
  2 Johns Hopkins University, Baltimore, USA
  3 Johns Hopkins Medical Institution, Baltimore, USA
Correspondence to Stuart G. Baker, National Cancer Institute, EPN 3131, 6130 Executive Boulevard, MSC 7354 Bethesda, MD 20892-7354, USA.
E-mail: sb16i@nih.gov
Copyright 2007 Royal Statistical Society
KEYWORDS
Causal inference • Potential outcomes • Principal stratification

ABSTRACT

Summary. A controversial topic in obstetrics is the effect of walking on the probability of Caesarean section among women in labour. A major reason for the controversy is the presence of non-compliance that complicates the estimation of efficacy, the effect of treatment received on outcome. The intent-to-treat method does not estimate efficacy, and estimates of efficacy that are based directly on treatment received may be biased because they are not protected by randomization. However, when non-compliance occurs immediately after randomization, the use of a potential outcomes model with reasonable assumptions has made it possible to estimate efficacy and still to retain the benefits of randomization to avoid selection bias. In this obstetrics application, non-compliance occurs initially and later in one arm. Consequently some parameters cannot be uniquely estimated without making strong assumptions. This difficulty is circumvented by a new study design involving an additional randomization group and a novel potential outcomes model (principal stratification).


[Received April 2006. Revised January 2007]

DIGITAL OBJECT IDENTIFIER (DOI)
10.1111/j.1467-9876.2007.00574.x About DOI

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