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Accounting for bias due to a non-ignorable tracing mechanism in a retrospective breast cancer cohort study.

Titman, Andrew C. and Lancaster, Gillian A. and Carmichael, Katie and Scutt, Diane (2011) Accounting for bias due to a non-ignorable tracing mechanism in a retrospective breast cancer cohort study. Statistics in Medicine, 30 (4). pp. 324-334.

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Abstract

We consider the analysis of competing risks in a retrospective breast cancer cohort study where tracing of patients is dependent on survival to a pre-specified truncation time. We demonstrate that if ignored the observed cause-specific hazards will become distorted before the truncation time. Two approaches to account for the tracing bias are considered. Firstly, a likelihood based method using piecewise constant transition intensities under a Markov assumption. Secondly, a pseudo-likelihood method using inverse probability of tracing weights. For the breast cancer example, both methods improve the precision of estimates compared to a conventional approach based on excluding patients.

Item Type: Article
Journal or Publication Title: Statistics in Medicine
Uncontrolled Keywords: multi-state model ; tracing bias ; breast cancer ; pseudo-likelihood
Subjects: Q Science > QA Mathematics
Departments: Faculty of Science and Technology > Mathematics and Statistics
ID Code: 34183
Deposited By: Dr Andrew Titman
Deposited On: 23 Sep 2010 08:50
Refereed?: Yes
Published?: Published
Last Modified: 09 Oct 2013 15:17
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/34183

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