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Amati_2024_OUP_Royal Stat Soc A_A goodness of fit
Journal article

A goodness of fit framework for relational event models

  • Amati, Viviana ORCID Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy
  • Lomi, Alessandro ORCID Social Network Analysis Research Center (SoNAR-C), Università della Svizzera italiana, Switzerland
  • Snijders, Tom A. B. ORCID Department of Statistics and Nuffield College, University of Oxford, Oxford, UK ; Department of Sociology, University of Groningen, Groningen, The Netherlands
  • 2024
Published in:
  • Statistics in society. - 2024, vol. 187, no. 4, p. 967–988
Auxiliary variables
Goodness of fit
Healthcare organizations
Interorganizational networks
Relational event models
Statistical models for networks
English We introduce a novel procedure to assess the goodness of fit in relational event models. Building on existing auxiliary variable approaches developed in network modelling, the procedure involves a comparison between statistics computed on observed relational event sequences and statistics calculated on event sequences simulated from the fitted model. We argue that the internal time structure of the relational mechanisms assumed to generate the observations under the model is an important aspect of the fit of a model to observed relational event sequences. We establish the empirical value of the proposed goodness of fit approach in an analysis of data that we collected on collaborative patient-referral relations among healthcare organizations. The illustrative case study that we develop reveals distinctive features of relational event models that have been ignored or overlooked in received empirical studies.
Collections
Language
  • English
Classification
Economics
License
CC BY
Open access status
hybrid
Identifiers
Persistent URL
https://n2t.net/ark:/12658/srd1330189
Statistics
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