Estimating the Number of Serious Road Injuries Per Vehicle Type in the Netherlands by using Multiple Imputation of Latent Classes
Summary Statistics that are published by official agencies are often generated by using population registries, which are likely to contain classification errors and missing values. A method that simultaneously handles classification errors and missing values is multiple imputation of latent classes (MILC). We apply the MILC method to estimate the number of serious road injuries per vehicle type in the Netherlands and to stratify the number of serious road injuries per vehicle type into relevant subgroups by using data from two registries. For this specific application, the MILC method is exten... Mehr ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2019 |
Reihe/Periodikum: | Journal of the Royal Statistical Society Series A: Statistics in Society ; volume 182, issue 4, page 1463-1486 ; ISSN 0964-1998 1467-985X |
Verlag/Hrsg.: |
Oxford University Press (OUP)
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Schlagwörter: | Statistics / Probability and Uncertainty / Economics and Econometrics / Social Sciences (miscellaneous) / Statistics and Probability |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-26842317 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | http://dx.doi.org/10.1111/rssa.12471 |