Missing data is a common issue in healthcare data and can lead to biased results, reduced statistical power, and incorrect conclusions. In nursing, accurate data collection is crucial for patient care, research outcomes, and policy-making. Therefore, addressing missing data through techniques like regression imputation is essential for ensuring the integrity of nursing studies and patient records.
