Cargando…
Alternative adjustment for seasonality and long-term time-trend in time-series analysis for long-term environmental exposures and disease counts
BACKGROUND: Time-series analysis with case-only data is a prominent method for the effect of environmental determinants on disease events in environmental epidemiology. In this analysis, adjustment for seasonality and long-term time-trend is crucial to obtain valid findings. When applying this analy...
Autores principales: | Kim, Honghyok, Lee, Jong-Tae, Fong, Kelvin C., Bell, Michelle L. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7780665/ https://www.ncbi.nlm.nih.gov/pubmed/33397295 http://dx.doi.org/10.1186/s12874-020-01199-1 |
Ejemplares similares
-
Novel robust time series analysis for long-term and short-term prediction
por: Okamura, Hiroshi, et al.
Publicado: (2021) -
Effects of particulate air pollution on tuberculosis development in seven major cities of Korea from 2010 to 2016: methodological considerations involving long-term exposure and time lag
por: Kim, Honghyok, et al.
Publicado: (2020) -
Seasonal adjustment methods and real time trend-cycle estimation
por: Bee Dagum, Estela, et al.
Publicado: (2016) -
Hierarchical attention network for multivariate time series long-term forecasting
por: Bi, Hongjing, et al.
Publicado: (2022) -
Fuzzy inference-based LSTM for long-term time series prediction
por: Wang, Weina, et al.
Publicado: (2023)