Researchers can adopt several strategies to mitigate the loss of sample size:
Flexible Inclusion Criteria: Broadening eligibility criteria can increase participant numbers. Data Quality Control: Implementing rigorous data collection and management protocols can minimize data loss. Patient Support: Providing support to participants can reduce dropout rates. Backup Samples: Collecting additional samples can compensate for potential losses due to technical failures.
