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. ISSN 1097-0258

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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:
Journal Article
Journal or Publication Title:
Statistics in Medicine
Uncontrolled Keywords:
/dk/atira/pure/researchoutput/libraryofcongress/qa
Subjects:
ID Code:
34183
Deposited By:
Deposited On:
23 Sep 2010 07:50
Refereed?:
Yes
Published?:
Published
Last Modified:
01 Jan 2020 07:01