Cargando…
Introducing riskCommunicator: An R package to obtain interpretable effect estimates for public health
Common statistical modeling methods do not necessarily produce the most relevant or interpretable effect estimates to communicate risk. Overreliance on the odds ratio and relative effect measures limit the potential impact of epidemiologic and public health research. We created a straightforward R p...
Autores principales: | Grembi, Jessica A., Rogawski McQuade, Elizabeth T. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9292119/ https://www.ncbi.nlm.nih.gov/pubmed/35849588 http://dx.doi.org/10.1371/journal.pone.0265368 |
Ejemplares similares
-
Minimizing error in estimates of the effect of interventions by accounting for baseline measurements: A simulation study analyzing effects on child growth
por: Deichsel, Emily L., et al.
Publicado: (2023) -
Longer intervals and extra doses of ChAdOx1 nCoV-19 vaccine
por: Rogawski McQuade, Elizabeth T, et al.
Publicado: (2021) -
Growthcurver: an R package for obtaining interpretable metrics from microbial growth curves
por: Sprouffske, Kathleen, et al.
Publicado: (2016) -
Transporting monovalent rotavirus vaccine efficacy estimates to an external target population: a secondary analysis of data from a randomised controlled trial in Malawi
por: St Jean, Denise T., et al.
Publicado: (2023) -
Rising rates of injection drug use associated infective endocarditis in Virginia with missed opportunities for addiction treatment referral: a retrospective cohort study
por: Gray, Megan E., et al.
Publicado: (2018)