Bias: Table 1
MDMiguel Delgado‐RodríguezJLJ Llorca
Universidad de Jaén · Universidad de Cantabria
Indexed incrossrefpubmed
Abstract
The concept of bias is the lack of internal validity or incorrect assessment of the association between an exposure and an effect in the target population in which the statistic estimated has an expectation that does not equal the true value. Biases can be classified by the research stage in which they occur or by the direction of change in a estimate. The most important biases are those produced in the definition and selection of the study population, data collection, and the association between different determinants of an effect in the population. A definition of the most common biases occurring in these stages is given.
Citation impact
1,076
total citations
- FWCI
- 12.52
- Percentile
- 100%
- References
- 83
Citations per year
Authors
2- MDMiguel Delgado‐RodríguezCorresponding
Universidad de Jaén
- JLJ Llorca
Universidad de Cantabria
Topics & keywords
Topics
Keywords
- Medicine
- Selection bias
- Statistic
- Population
- Statistics
- Selection (genetic algorithm)
- Econometrics
- Environmental health
UN Sustainable Development Goals
- Peace, Justice and strong institutions
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