15/09/2026
𝗜𝗡 𝗣𝗛𝗢𝗧𝗢𝗦 | 𝗕𝗶𝗼𝘀𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝘀 𝗮𝗻𝗱 𝗛𝗲𝗮𝗹𝘁𝗵 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗦𝘂𝗺𝗺𝗶𝘁 𝟮𝟬𝟮𝟲
Faculty members of the Department of Statistics, participated in the Biostatistics and Health Data Science Summit (BHDSS) 2026, held on September 14–15, 2026 at the UP School of Statistics, University of the Philippines Diliman. The two-day summit brought together researchers, faculty members, students, and professionals to learn from experts and exchange ideas on current developments in biostatistics and health data science.
DAY 1 | September 14, 2026
The first day featured the World Expert Lecture Series (WELS) with Dr. Thomas Mathew and Dr. Yehenew G. Kifle, both from the University of Maryland, Baltimore County (UMBC). Dr. Mathew discussed Equivalence Testing: Bioequivalence and Beyond and Cost-Effectiveness Analysis: A Statistical Overview, highlighting statistical approaches relevant to clinical trials, health interventions, and health-policy decision-making. Dr. Kifle presented Modeling Malaria Risk Near a Hydroelectric Dam: Challenges in Clustered Survival Data and Combining Evidence Across Heterogeneous Studies: Local Power of Exact Tests for a Common Mean, focusing on advanced methods for survival analysis, infectious-disease research, and combining evidence across heterogeneous studies.
DAY 2 | September 15, 2026
The second day featured research presentations from scholars and researchers from Imperial College London, University of the Philippines Diliman, and University of the Philippines Manila. Topics covered advanced spatio-temporal models for disease surveillance, simultaneous prediction intervals for health assessment, methodological lessons from rare disease research, multivariate tolerance regions for clinical laboratory medicine, pharmaceutical market data, Bayesian decision limits, spatio-temporal modeling of adolescent birth records, and causal mediation analysis in longitudinal biostatistical data.
The summit provided a valuable opportunity for the faculty members to expand their knowledge, engage with current developments in biostatistics and health data science, exchange ideas with researchers and professionals, and strengthen academic and research networks. The insights gained from the activity are expected to contribute to the continuing enhancement of instruction, research, and professional practice in the Department of Statistics.