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EnglishIn 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.
| Titolo: | A log-linear multidimensional Rasch model for capture-recapture |
| Autori: | |
| Data di pubblicazione: | 2016 |
| Data ahead of print: | 30-set-2015 |
| Stato di pubblicazione: | Pubblicato |
| Rivista: | |
| 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. |
| Handle: | http://hdl.handle.net/11368/2882715 |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1002/sim.6741 |
| URL: | http://onlinelibrary.wiley.com/doi/10.1002/sim.6741/full |
| Appare nelle tipologie: | 1.1 Articolo in Rivista |
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