Predicting criminal recidivism using registration data

These data are from two papers that research the predictability of general, violent and sexual recidivism using registration data. It consists of 2005/2006 conviction cohorts and includes both binary and survival outcome variants. The subsamples for training and testing sets are included so the data is independent of random number generation implementations.

Identifier
DOI https://doi.org/10.17026/dans-23p-7uuu
PID https://nbn-resolving.org/urn:nbn:nl:ui:13-6o-gj0d
Source https://nbn-resolving.org/urn:nbn:nl:ui:13-6o-gj0d
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:78692
Provenance
Creator Tollenaar, N (Research and Documentation Centre (WODC))
Publisher Data Archiving and Networked Services (DANS)
Publication Year 2018
Rights info:eu-repo/semantics/restrictedAccess; DANS License
OpenAccess false
Representation
Language Dutch; Flemish
Resource Type Dataset
Discipline Various