Developing statistical methods for the analysis of biomedical data plays an important roles in the understanding of human health and disease. Recent biomedical researches have produced high-throughput and population data with complex structures or sampling schemes. In this session, we will introduce several new statistical methods for biomedical data analysis.

The proposed session includes a chair and three presenters who are experts in the areas of statistics, biostatistics, and omics. All of the session participants are tenured professor/associate professors in the department of statistics or biostatistics. All the presenters are thinkers and have proposed many ideas to advance their specific fields. They have extensive research experiences and published numerous peer-reviewed papers in statistics and interdisciplinary areas. The organizer and presenters were originally coming from around the world. The proposed contents are fast-growing fields between statistics and biomedical research. The session has a diverse body of participants, with different stages of careers, balanced gender ratio (2 out of 3 presenters are females), and various statistical interests (ranging from survival analysis to network analysis to statistical genomics).

Organiser: Zhengqing Ouyang 

Chair: Zhengqing Ouyang 

Speaker: Jing Qian 

Speaker: Yuping Zhang 
Speaker: Zhengqing Ouyang