Incorrect statistical reasoning in Guyll et al. leads to biased claims about strength of forensic evidence

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

doi:10.1073/pnas.2315431121

Incorrect statistical reasoning in Guyll et al. leads to biased claims about strength of forensic evidence

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

Bloomberg School of Public Health

Research output: Contribution to journal › Letter › peer-review

Original language	English (US)
Article number	e2315431121
Journal	Proceedings of the National Academy of Sciences of the United States of America
Volume	121
Issue number	45
DOIs	https://doi.org/10.1073/pnas.2315431121
State	Published - Nov 5 2024

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10.1073/pnas.2315431121

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Rosenblum, M., Chin, E. T., Ogburn, E. L., Nishimura, A., Westreich, D., Datta, A., Vanderplas, S., Cuellar, M., & Thompson, W. C. (2024). Incorrect statistical reasoning in Guyll et al. leads to biased claims about strength of forensic evidence. Proceedings of the National Academy of Sciences of the United States of America, 121(45), Article e2315431121. https://doi.org/10.1073/pnas.2315431121

Incorrect statistical reasoning in Guyll et al. leads to biased claims about strength of forensic evidence. / Rosenblum, Michael ; Chin, Elizabeth T.; Ogburn, Elizabeth L. et al.
In: Proceedings of the National Academy of Sciences of the United States of America, Vol. 121, No. 45, e2315431121, 05.11.2024.

Research output: Contribution to journal › Letter › peer-review

Rosenblum, M , Chin, ET , Ogburn, EL , Nishimura, A, Westreich, D, Datta, A, Vanderplas, S, Cuellar, M & Thompson, WC 2024, 'Incorrect statistical reasoning in Guyll et al. leads to biased claims about strength of forensic evidence', Proceedings of the National Academy of Sciences of the United States of America, vol. 121, no. 45, e2315431121. https://doi.org/10.1073/pnas.2315431121

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Incorrect statistical reasoning in Guyll et al. leads to biased claims about strength of forensic evidence

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