Cargando…
The Roles of a Secondary Data Analytics Tool and Experience in Scientific Hypothesis Generation in Clinical Research: Protocol for a Mixed Methods Study
BACKGROUND: Scientific hypothesis generation is a critical step in scientific research that determines the direction and impact of any investigation. Despite its vital role, we have limited knowledge of the process itself, thus hindering our ability to address some critical questions. OBJECTIVE: Thi...
Autores principales: | Jing, Xia, Patel, Vimla L, Cimino, James J, Shubrook, Jay H, Zhou, Yuchun, Liu, Chang, De Lacalle, Sonsoles |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9345027/ https://www.ncbi.nlm.nih.gov/pubmed/35736798 http://dx.doi.org/10.2196/39414 |
Ejemplares similares
-
A Visual Analytic Tool (VIADS) to Assist the Hypothesis Generation Process in Clinical Research: Mixed Methods Usability Study
por: Jing, Xia, et al.
Publicado: (2023) -
Data-driven hypothesis generation among inexperienced clinical researchers: A comparison of secondary data analyses with visualization (VIADS) and other tools
por: Jing, Xia, et al.
Publicado: (2023) -
How do clinical researchers generate data-driven scientific hypotheses? Cognitive events using think-aloud protocol
por: Jing, Xia, et al.
Publicado: (2023) -
A visual interactive analytic tool for filtering and summarizing large health data sets coded with hierarchical terminologies (VIADS)
por: Jing, Xia, et al.
Publicado: (2019) -
Development, validation, and usage of metrics to evaluate the quality of clinical research hypotheses
por: Jing, Xia, et al.
Publicado: (2023)