Post hoc analysis examines data after a study concludes, often uncovering patterns or relationships not initially hypothesized. Researchers use it to generate insights or explain unexpected results, while data scientists apply it in exploratory research. Clinicians and business analysts benefit by identifying trends that inform future studies or strategic decisions, though findings require careful validation.
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