Guohua Yan

Guohua Yan is Professor in Mathematics and Statistics at the University of New Brunswick, specializing in statistical methodologies for pattern recognition and complex data structures. His research develops innovative approaches to cluster analysis with applications across biological and medical sciences.

Primary contributions include advancing linear clustering techniques that identify linear relationships within datasets, such as allometric studies in biology and genotyping analysis. Complementary research creates statistical models for clustered count data with excessive zeros, incorporating random effects to account for subject-level heterogeneity in medical studies. Current methodologies address challenges including missing data, measurement errors, and spatial dependencies in large-scale epidemiological research.