CHDS Seminar with Christopher Jackson
Join the Center for Health Decision Science for a seminar with Christopher Jackson from the University of Cambridge, UK, titled, “Making Semi-Markov Multistate Models for Intermittent Observations Easily Usable.” Multi-state models for changes in a state (e.g. of health or illness) often assume that the transition rate is constant with time spent in the state (the “Markov” assumption). In this seminar, Jackson proposes a new method and software package to relax this often-unrealistic assumption, using hidden states known as “phases.” This is motivated by applications such as modelling the duration of infections, modelling time in a detectable state in cancer screening, and modelling cognitive impairment in studies of ageing.
Christopher Jackson is a Senior Statistician at the MRC Biostatistics Unit, University of Cambridge. His research involves incorporating statistical methods in models to combine evidence to inform population health policy. His publications cover Bayesian evidence synthesis, survival analysis, multi-state modelling, longitudinal data, decision theory, and model comparison. He has also developed several popular R packages, and co-authored two textbooks, “The BUGS Book” and “Value of Information for Healthcare Decision-Making.”
Speaker Information
Christopher Jackson
Organizers
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