Better null models for assessing predictive accuracy of disease models.

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Bibliographic Details
Title: Better null models for assessing predictive accuracy of disease models.
Authors: Keyel AC; Division of Infectious Diseases, Wadsworth Center, New York State Department of Health, Albany, NY, United States of America.; Department of Atmospheric and Environmental Sciences, University at Albany, SUNY, Albany, NY, United States of America., Kilpatrick AM; Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, Santa Cruz, CA, United States of America.
Source: PloS one [PLoS One] 2023 May 05; Vol. 18 (5), pp. e0285215. Date of Electronic Publication: 2023 May 05 (Print Publication: 2023).
Publication Type: Journal Article; Research Support, U.S. Gov't, P.H.S.; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S.
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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