Addressed the critical challenge of informative dropout in Quality of Life assessment by modeling patient trajectories. A comparative analysis demonstrated that Multiple Imputation (MICE) yields superior calibration over IPCW when training machine learning models on incomplete trial data. 

👤 First Author

🟡 Status: UNDER REVIEW | BMC Medical Research Methodology 

👤 First Author

🟡 Status: UNDER REVIEW | BMC Public Health

👤 Co-Author

🟡 Status: UNDER REVIEW | BMC Medical Informatics and Decision Making

Analyzed spatial heterogeneity in malaria prevalence using data from the 2022 Liberia Malaria Indicator Survey (n=2,189). Results revealed a significantly higher burden in inland regions (12.7%) compared to coastal areas (8.3%, p=0.001). Logistic regression identified household poverty (AOR=11.1) and non-use of ITNs (1.6x odds) as primary determinants of infection risk. 

👥 Co-Author   

🟢 Status: Published (Malaria Journal) 

DOI: 10.1186/s12936-026-05784-5 

Conducted a comparative analysis of NFHS-5 data (n=1,739) to identify key determinants of immunization disparities between high-performing (Tamil Nadu) and underperforming (Nagaland) Indian states. Utilized weighted logistic regression to model the impact of maternal education, wealth index, and geographic accessibility on vaccination coverage. 

👥 Co-Author   

🟡 Status: UNDER REVIEW | BMC Pediatrics