Sensitivity analysis of intention-to-treat estimates when withdrawals are related to unobserved compliance status
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Salim, Agus; Mackinnon, Andrew; Griffiths, Kathleen
Description
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]
Collections | ANU Research Publications |
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Date published: | 2008 |
Type: | Journal article |
URI: | http://hdl.handle.net/1885/37215 |
Source: | Statistics in Medicine |
DOI: | 10.1002/sim.3025 |
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