Sensitivity analysis of intention-to-treat estimates when withdrawals are related to unobserved compliance status
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|
|Source:||Statistics in Medicine|
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