Antai Wang

Antai Wang is an Associate Professor in the Department of Mathematical Sciences at New Jersey Institute of Technology (NJIT), specializing in biostatistics and survival analysis. His research focuses on developing statistical methodologies for dependent data structures, particularly using Archimedean copula models and frailty models. He has secured funding from the National Science Foundation for projects like 'Analysis of Survival Data Using Copula Models' (2011-2015), which advanced methodologies for analyzing dependent competing risks and semi-competing risks data.

Key research areas include survival analysis, copula models, and their applications in medical studies. Wang has contributed to studies on opioid prescribing patterns in trauma patients, breast cancer biomarkers, and post-traumatic seizure prophylaxis. His work bridges statistical theory with clinical applications, addressing real-world health challenges through rigorous quantitative methods.

Notable collaborations include studies on tumor proliferation genes in ethnic patient groups and evaluating green tea extract effects on breast cancer biomarkers. Wang’s methodologies have been applied to improve understanding of disease progression and treatment efficacy, with publications in journals like Statistica Sinica and American Surgeon.

His grants and projects reflect a commitment to advancing statistical tools for complex survival data, emphasizing identifiability of models and handling dependent censoring. While no formal awards are listed, his extensive publication record and federal funding underscore his impactful contributions to the field.