Biasmethoden
Biasmethoden refers to methods used to identify, measure, mitigate, or correct bias in research and data analysis. The term is applied across disciplines such as medicine, psychology, social sciences, and data science to improve the validity and reliability of conclusions by reducing systematic errors and distorted interpretations.
Bias can arise at various stages of research. Selection bias occurs when the study population differs systematically
In statistics and data science, biasmethoden cover sampling design, data cleaning, imputation, cross-validation, propensity score methods,