A log-linear multidimensional Rasch model for capture-recapture
A log-linear multidimensional Rasch model for capture-recapture
In this paper, a log‐linear multidimensional Rasch model is proposed for capture–recapture analysis of registration data. In the model, heterogeneity of capture probabilities is taken into account, and registrations are viewed as dichotomously scored indicators of one or more latent variables that can account for correlations among registrations. It is shown how the probability of a generic capture profile is expressed under the log‐linear multidimensional Rasch model and how the parameters of the traditional log‐linear model are derived from those of the log‐linear multidimensional Rasch model. Finally, an application of the model to neural tube defects data is presented.
622-634
Pelle, E.
e512c43c-6f21-4f6a-bcb7-c855e6a97bea
Hessen, D.J.
06401d7e-77b2-4f9e-aaba-fcbe6ce78113
Van Der Heijden, P.G.M.
85157917-3b33-4683-81be-713f987fd612
20 February 2016
Pelle, E.
e512c43c-6f21-4f6a-bcb7-c855e6a97bea
Hessen, D.J.
06401d7e-77b2-4f9e-aaba-fcbe6ce78113
Van Der Heijden, P.G.M.
85157917-3b33-4683-81be-713f987fd612
Pelle, E., Hessen, D.J. and Van Der Heijden, P.G.M.
(2016)
A log-linear multidimensional Rasch model for capture-recapture.
Statistics in Medicine, 35 (4), .
(doi:10.1002/sim.6741).
Abstract
In this paper, a log‐linear multidimensional Rasch model is proposed for capture–recapture analysis of registration data. In the model, heterogeneity of capture probabilities is taken into account, and registrations are viewed as dichotomously scored indicators of one or more latent variables that can account for correlations among registrations. It is shown how the probability of a generic capture profile is expressed under the log‐linear multidimensional Rasch model and how the parameters of the traditional log‐linear model are derived from those of the log‐linear multidimensional Rasch model. Finally, an application of the model to neural tube defects data is presented.
Text
Peter 2016 SIM6741.pdf
- Accepted Manuscript
More information
Accepted/In Press date: 27 August 2015
e-pub ahead of print date: 30 September 2015
Published date: 20 February 2016
Organisations:
Social Sciences
Identifiers
Local EPrints ID: 391092
URI: http://eprints.soton.ac.uk/id/eprint/391092
ISSN: 0277-6715
PURE UUID: d6450c92-5b71-432a-81ad-b3c9f96b1adc
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Date deposited: 06 Apr 2016 09:37
Last modified: 15 Mar 2024 03:46
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Author:
E. Pelle
Author:
D.J. Hessen
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