A1 Journal article – refereed

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




List of Authors: Nevalainen Jaakko, Datta Somnath, Toppari Jorma, Ilonen Jorma, Hyöty Heikki, Veijola Riitta, Knip Mikael, Virtanen Suvi M

Publisher: John Wiley and Sons Ltd

Publication year: 2021

Journal: Statistics in Medicine

Journal name in source: Statistics in Medicine

eISSN: 1097-0258

DOI: http://dx.doi.org/10.1002/sim.9190


Abstract

Abstract

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.


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Last updated on 2021-25-10 at 11:18