The consequences of sampling bias in histology can be significant:
Misdiagnosis: In clinical settings, sampling bias can lead to incorrect diagnoses, affecting patient care and treatment outcomes. Research Validity: In research, biased samples can lead to invalid or misleading results, potentially impacting the scientific understanding of diseases and treatments. Resource Wastage: Time, effort, and resources spent on analyzing biased samples can be wasted, necessitating repeat studies or additional tests.
