SSA Breast Missing Data Patterns (Retention & Incomplete Tests)

This module provides a synthetic missing-data sandbox for oncology care in African healthcare contexts, focusing on: Realistic loss-to-follow-up (LTFU) and retention patterns over 0–24 months. Incomplete diagnostic and laboratory test results (ordered vs completed vs available in records). Non-random missingness driven by facility type, distance, socioeconomic status (SES), and insurance.