Kapetanakis, V;
Matthews, FE;
Van den Hout, A;
(2013)
A semi-Markov model for stroke with piecewise-constant hazards in the presence of left, right and interval censoring.
Statistics in Medicine
, 32
(4)
pp. 697-713.
10.1002/sim.5534.
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Abstract
This paper presents a parametric method of fitting semi-Markov models with piecewise-constant hazards in the presence of left, right and interval censoring. We investigate transition intensities in a three-state illness–death model with no recovery. We relax the Markov assumption by adjusting the intensity for the transition from state 2 (illness) to state 3 (death) for the time spent in state 2 through a time-varying covariate. This involves the exact time of the transition from state 1 (healthy) to state 2. When the data are subject to left or interval censoring, this time is unknown. In the estimation of the likelihood, we take into account interval censoring by integrating out all possible times for the transition from state 1 to state 2. For left censoring, we use an Expectation–Maximisation inspired algorithm. A simulation study reflects the performance of the method. The proposed combination of statistical procedures provides great flexibility. We illustrate the method in an application by using data on stroke onset for the older population from the UK Medical Research Council Cognitive Function and Ageing Study.
Type: | Article |
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Title: | A semi-Markov model for stroke with piecewise-constant hazards in the presence of left, right and interval censoring |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1002/sim.5534 |
Publisher version: | http://dx.doi.org/10.1002/sim.5534 |
Language: | English |
Additional information: | Re-use of this article is permitted in accordance with the Terms and Conditions set out at: http://wileyonlinelibrary.com/onlineopen#OnlineOpen_Terms. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/1474787 |
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