Piecewise transition models with random effects for unequally spaced longitudinal measurements

R Rikhtehgaran, I Kazemi, G Verbeke, W de Kort, Emmanuel Lesaffre

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2 Citations (Scopus)


In this paper, we consider the analysis of unequally spaced longitudinal data using transition regression models with random effects. Diffusion as well as stabilization processes will be discussed, but our main focus will be on the latter. The initial conditions problem, which usually arises in transition models with random effects, is addressed. The usefulness of the proposed model is assessed on a large database of longitudinal haemoglobin values collected from blood donations by a Dutch private organization.
Original languageUndefined/Unknown
Pages (from-to)503-525
Number of pages23
JournalStatistical Modelling
Issue number6
Publication statusPublished - 2012

Research programs

  • EMC NIHES-01-66-01

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