Abstract
As life unfolds people move between states and enter new stages of life. The path taken depends on personal characteristics, early life experiences, context and chance. The life course can be represented as a sequence of states and modelled as a multistate process, governed by transition rates. In this book, the continuous-time Markov process is used to model life histories. Transition rates may depend on covariates.
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References
Blossfeld, H. P., & Rohwer, G. (2002). Techniques of event history modeling. New approaches to causal analysis (2nd ed.). Mahwah: Lawrence Erlbaum Associates.
de Wreede, L. C., Fiocco, M., & Putter, H. (2011). mstate: An R package for the analysis of competing risks and multistate models. Journal of Statistical Software, 38(7), 1–30.
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© 2014 Springer International Publishing Switzerland
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Willekens, F. (2014). Summary. In: Multistate Analysis of Life Histories with R. Use R!. Springer, Cham. https://doi.org/10.1007/978-3-319-08383-4_9
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DOI: https://doi.org/10.1007/978-3-319-08383-4_9
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