Modelling overdose case fatality rates over time: The collaborative process
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2023/01/01
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Journal
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Indian UGC (journal)
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Refrences21
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Emily Slade Department of Biostatistics University of Kentucky Lexington Kentucky 40536 USA ORCID (unauthenticated)
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Anthony A. Mangino Department of Biostatistics University of Kentucky Lexington Kentucky 40536 USA
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Lara Daniels Kentucky Injury Prevention and Research Center University of Kentucky Lexington Kentucky 40536 USA
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Madison Liford Kentucky Injury Prevention and Research Center University of Kentucky Lexington Kentucky 40536 USA
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Dana Quesinberry Kentucky Injury Prevention and Research Center University of Kentucky Lexington Kentucky 40536 USADepartment of Health Management and Policy University of Kentucky Lexington Kentucky 40536 USA ORCID (unauthenticated)
Abstract
Cite
Slade, Emily, et al. “Modelling Overdose Case Fatality Rates over Time: The Collaborative Process”. Stat, vol. 12, no. 1, 2023, https://doi.org/10.1002/sta4.510.
Slade, E., Mangino, A. A., Daniels, L., Liford, M., & Quesinberry, D. (2023). Modelling overdose case fatality rates over time: The collaborative process. Stat, 12(1). https://doi.org/10.1002/sta4.510
Slade E, Mangino AA, Daniels L, Liford M, Quesinberry D. Modelling overdose case fatality rates over time: The collaborative process. Stat. 2023;12(1).
Journal Categories
Science
Mathematics
Science
Mathematics
Probabilities
Mathematical statistics
Refrences
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|---|---|---|---|---|
| R: A language and environment for statistical computing | 2021 | |||
| 10.1214/13-AOAS684 | ||||
| Beta Regression for Modelling Rates and Proportions | Journal of Applied Statistics |
| 1,669 | 2004 |
| On beta regression residuals | Journal of Applied Statistics |
| 114 | 2008 |
| On beta regression residuals | Journal of Applied Statistics |
| 114 | 2008 |