11/1/2023 0 Comments R shiny server costThe analysis incorporates probabilistic sensitivity analysis (PSA) by creating a data-frame of PSA inputs (one row being one set of model inputs) based on cost, utility and probability distributions using the function f_gen_psa and then running the model with each set of PSA inputs using the model function f_MM_sicksicker. The diagram below shows the general model structure. The cohort progresses through the model in cycles of equal duration, with the proportion of those in each health state in the next cycle being dependant on the proportion in each health state in the current cycle and the transition probability matrix. The Sick-Sicker model is a 4 state (Healthy, Sick, Sicker or Dead) Markov model. For further details, readers are encouraged to consult Alarid-Escudero et al., 2019, Krijkamp et al., 2020 and the DARTH group website. In the following, we will provide a brief overview. While the focus of this tutorial is on the application of shiny for health economic models, it will be useful to have a basic understanding of the underlying ‘sick-sicker-model’. Making health economic models Shiny: A tutorial. This tutorial accompanies our open-access paper published here which contains a more detailed background to health economic modelling in R and Shiny. Robert Smith and Paul Schneider, ScHARR, University of Sheffield Introduction
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