Quantifying the problem of inconsistent missing data handling across the pipeline of Clinical Prediction Models: A simulation study

Antonia Tsvetanova, Matthew Sperrin, Niels Peek, Iain E. Buchan, Stephanie L. Yland, Glen P. Martin. Quantifying the problem of inconsistent missing data handling across the pipeline of Clinical Prediction Models: A simulation study. In AMIA 2022, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 5-9, 2022. AMIA, 2022. [doi]

@inproceedings{TsvetanovaSPBYM22,
  title = {Quantifying the problem of inconsistent missing data handling across the pipeline of Clinical Prediction Models: A simulation study},
  author = {Antonia Tsvetanova and Matthew Sperrin and Niels Peek and Iain E. Buchan and Stephanie L. Yland and Glen P. Martin},
  year = {2022},
  url = {https://knowledge.amia.org/76677-amia-1.4637602/f008-1.4640715/f008-1.4640716/572-1.4640849/41-1.4640846},
  researchr = {https://researchr.org/publication/TsvetanovaSPBYM22},
  cites = {0},
  citedby = {0},
  booktitle = {AMIA 2022, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 5-9, 2022},
  publisher = {AMIA},
}