• Corpus ID: 240420091

Computing with R-INLA: Accuracy and reproducibility with implications for the analysis of COVID-19 data

@inproceedings{Khan2021ComputingWR,
  title={Computing with R-INLA: Accuracy and reproducibility with implications for the analysis of COVID-19 data},
  author={Kori Khan and Hengrui Luo and Wenna Xi},
  year={2021}
}
The statistical methods used to analyze medical data are becoming increasingly complex. Novel statistical methods increasingly rely on simulation studies to assess their validity. Such assessments typically appear in statistical or computational journals, and the methodology is later introduced to the medical community through tutorials. This can be problematic if applied researchers use the methodologies in settings that have not been evaluated. In this paper, we explore a case study of one… 

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