How measurement science can improve confidence in research results.
PLoS Biol
; 16(4): e2004299, 2018 04.
Article
en En
| MEDLINE
| ID: mdl-29684013
ABSTRACT
The current push for rigor and reproducibility is driven by a desire for confidence in research results. Here, we suggest a framework for a systematic process, based on consensus principles of measurement science, to guide researchers and reviewers in assessing, documenting, and mitigating the sources of uncertainty in a study. All study results have associated ambiguities that are not always clarified by simply establishing reproducibility. By explicitly considering sources of uncertainty, noting aspects of the experimental system that are difficult to characterize quantitatively, and proposing alternative interpretations, the researcher provides information that enhances comparability and reproducibility.
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Proyectos de Investigación
/
Investigación Biomédica
/
Exactitud de los Datos
Tipo de estudio:
Guideline
Límite:
Humans
Idioma:
En
Revista:
PLoS Biol
Asunto de la revista:
BIOLOGIA
Año:
2018
Tipo del documento:
Article
País de afiliación:
Estados Unidos