Group Sequential Design with Conditional Power Approach - A refresh
This is an overview of sequential design using conditional power approach.
Lei Li is an AI and Statistical Consultant with industry experience at Food and Drug Administration, Edwards Lifesciences, and Sanofi. He brings biostatistical expertise across a range of domains, including medical devices, cardiovascular research, rare diseases, and vaccine development.
His current work focuses on applying advanced AI techniques to diverse areas such as automated stock price modeling, clinical trial automation delivery (including SAP, table, listing, and figure [TLF] generation), and biomarker analysis.
Academically, his interests span reinforcement learning, diffusion models, transformer architectures, high-dimensional statistics, robust inference, causal inference, Bayesian inference, and sequential trial design.
email: leilibusiness@gmail.com
phone: +1(302)685-7559
PhD Statistics
George Mason University
MS Statistics
The George Washington University
BS Mathematics
Shandong University
This is an overview of sequential design using conditional power approach.