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Sensitivity analysis of intention-to-treat estimates when withdrawals are related to unobserved compliance status

Salim, Agus; Mackinnon, Andrew; Griffiths, Kathleen


In the presence of dropout, intent(ion)-to-treat analysis is usually carried out using methods that assume a missing-at-random (MAR) dropout mechanism. We investigate the potential bias caused by assuming MAR when the dropout is related to unobserved compliance status. A framework to assess the magnitude of bias in the context of pre- and post-test design (PPD) with two treatment arms is presented. Scenarios with all-or-none and partial compliance level are investigated. Using two simulated...[Show more]

CollectionsANU Research Publications
Date published: 2008
Type: Journal article
Source: Statistics in Medicine
DOI: 10.1002/sim.3025


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