Frailty modeling under a selective sampling protocol: an application to type 1 diabetes related autoantibodies

Jaakko Nevalainen, Somnath Datta, Jorma Toppari, Jorma Ilonen, Heikki Hyöty, Riitta Veijola, Mikael Knip, Suvi M. Virtanen

Tutkimustuotos: ArtikkeliScientificvertaisarvioitu

1 Lataukset (Pure)

Abstrakti

In studies following selective sampling protocols for secondary outcomes, conventional analyses regarding their appearance could provide misguided information. In the large type 1 diabetes prevention and prediction (DIPP) cohort study monitoring type 1 diabetes-associated autoantibodies, we propose to model their appearance via a multivariate frailty model, which incorporates a correlation component that is important for unbiased estimation of the baseline hazards under the selective sampling mechanism. As further advantages, the frailty model allows for systematic evaluation of the association and the differences in regression parameters among the autoantibodies. We demonstrate the properties of the model by a simulation study and the analysis of the autoantibodies and their association with background factors in the DIPP study, in which we found that high genetic risk is associated with the appearance of all the autoantibodies, whereas the association with sex and urban municipality was evident for IA-2A and IAA autoantibodies.

AlkuperäiskieliEnglanti
JulkaisuSTATISTICS IN MEDICINE
DOI - pysyväislinkit
TilaE-pub ahead of print - syysk. 2021
OKM-julkaisutyyppiA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

Julkaisufoorumi-taso

  • Jufo-taso 2

!!ASJC Scopus subject areas

  • Epidemiology
  • Statistics and Probability

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