Cargando…
Target trial emulation with multi-state model analysis to assess treatment effectiveness using clinical COVID-19 data
BACKGROUND: Real-world observational data are an important source of evidence on the treatment effectiveness for patients hospitalized with coronavirus disease 2019 (COVID-19). However, observational studies evaluating treatment effectiveness based on longitudinal data are often prone to methodologi...
Autores principales: | Martinuka, Oksana, Hazard, Derek, Marateb, Hamid Reza, Maringe, Camille, Mansourian, Marjan, Rubio-Rivas, Manuel, Wolkewitz, Martin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474639/ https://www.ncbi.nlm.nih.gov/pubmed/37660025 http://dx.doi.org/10.1186/s12874-023-02001-8 |
Ejemplares similares
-
Target Trial Emulation Using Hospital-Based Observational Data: Demonstration and Application in COVID-19
por: Martinuka, Oksana, et al.
Publicado: (2023) -
Response to “Overlooked Shortcomings of Observational Studies of Interventions in Coronavirus Disease 2019: An Illustrated Review for the Clinician” by Tleyjeh et al.
por: Wolkewitz, Martin, et al.
Publicado: (2021) -
Manipulating measurement scales in medical statistical analysis and data mining: A review of methodologies
por: Marateb, Hamid Reza, et al.
Publicado: (2014) -
Methodological evaluation of bias in observational coronavirus disease 2019 studies on drug effectiveness
por: Martinuka, Oksana, et al.
Publicado: (2021) -
‘Methodological evaluation of bias in observational COVID-19 studies on drug effectiveness’ – Author’s reply
por: Wolkewitz, Martin, et al.
Publicado: (2021)