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Data Validity

Meaning

Data validity refers to the extent to which a health measurement accurately reflects the specific physiological concept or variable it is intended to measure, distinguishing it from mere consistency. In hormonal health, this means a diagnostic test must genuinely quantify the active, biologically relevant fraction of a hormone, not just its inactive or bound form, to provide a clinically meaningful assessment. Validity is paramount because it ensures that personalized medicine interventions are based on a true representation of the patient’s endocrine status. High data validity is the cornerstone of accurate diagnosis and effective treatment planning.