Whatever can go wrong, need not go wrong: Open Quality approach for epidemiology
Abstract Quality assurance is one of the most important aspects of an epidemiological study, as its validity is largely determined by data quality. The mounting success of quality management in the industrial sector caused a rapid spread throughout manufacturing industries and beyond. Yet, little ha...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2021-07-01
|
| Series: | Emerging Themes in Epidemiology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12982-021-00098-0 |