Corpus ID: 210859128

Cohort state-transition models in R: From conceptualization to implementation

@article{AlaridEscudero2020CohortSM,
  title={Cohort state-transition models in R: From conceptualization to implementation},
  author={F. Alarid-Escudero and E. Krijkamp and E. Enns and M. Hunink and P. Pechlivanoglou and Hawre J Jalal},
  journal={arXiv: Applications},
  year={2020}
}
Decision models can synthesize evidence from different sources to provide estimates of long-term consequences of a decision with uncertainty. Cohort state-transition models (cSTM) are decision models commonly used in medical decision making because they can simulate hypothetical cohorts' transitions across various health states over time. This tutorial shows how to conceptualize cSTMs in a programming language environment and shows examples of their implementation in R. We illustrate their use… Expand

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