Misuse of statistical method results in highly biased interpretation of forensic evidence in Guyll et al. 2023

papers
Author

Michael Rosenblum, Elizabeth T Chin, Elizabeth L Ogburn, Akihiko Nishimura, Daniel Westreich, Abhirup Datta, Susan Vanderplas, Maria Cuellar, William C Thompson

Published

January 9, 2024

Keywords

pr, forensics, error rates

Citation

[1] M. Rosenblum, E. T. Chin, E. L. Ogburn, et al. “Misuse of statistical method results in highly biased interpretation of forensic evidence in Guyll et al. (2023)”. In: Law, Probability and Risk 23.1 (Jan. 09, 2024), p. mgad010. DOI: https://doi.org/10.1093/lpr/mgad010.

@article{rosenblumMisuseStatisticalMethod2024,
  title = {Misuse of statistical method results in highly biased interpretation of forensic evidence in Guyll et al. (2023)},
  volume = {23},
  doi = {https://doi.org/10.1093/lpr/mgad010},
  number = {1},
  journal = {Law, Probability and Risk},
  publisher = {Oxford University Press},
  pages = {mgad010},
  author = {Michael Rosenblum and Elizabeth T Chin and Elizabeth L Ogburn and Akihiko Nishimura and Daniel Westreich and Abhirup Datta and Susan Vanderplas and Maria Cuellar and William C Thompson},
  year = {2024},
  month = {jan},
}