Cargando…
New statistical model for misreported data with application to current public health challenges
The main goal of this work is to present a new model able to deal with potentially misreported continuous time series. The proposed model is able to handle the autocorrelation structure in continuous time series data, which might be partially or totally underreported or overreported. Its performance...
Autores principales: | Moriña, David, Fernández-Fontelo, Amanda, Cabaña, Alejandra, Puig, Pedro |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8640038/ https://www.ncbi.nlm.nih.gov/pubmed/34857815 http://dx.doi.org/10.1038/s41598-021-02620-5 |
Ejemplares similares
-
Estimated Covid-19 burden in Spain: ARCH underreported non-stationary time series
por: Moriña, David, et al.
Publicado: (2023) -
Quantifying the under-reporting of uncorrelated longitudal data: the genital warts example
por: Moriña, David, et al.
Publicado: (2021) -
Estimating the real burden of disease under a pandemic situation: The SARS-CoV2 case
por: Fernández-Fontelo, Amanda, et al.
Publicado: (2020) -
Challenging the role of social norms regarding body weight as an explanation for weight, height, and BMI misreporting biases: Development and application of a new approach to examining misreporting and misclassification bias in surveys
por: Brestoff, Jonathan R, et al.
Publicado: (2011) -
Misreporting of Energy Intake in the 2007 Australian Children’s Survey: Identification, Characteristics and Impact of Misreporters
por: Rangan, Anna M., et al.
Publicado: (2011)