معرفی
Dr. Judith Lok is a Professor and Associate Director of Statistics at Boston University's Department of Biostatistics. Her research focuses on causal inference methodologies, survival analysis, and HIV/AIDS-related problems using observational data. She specializes in mediation analysis, clinical trial design (e.g., Learn-As-you-GO trials), and statistical frameworks like Structural Nested Models. Her work addresses challenges in estimating treatment effects, handling censoring, and optimizing multi-component interventions. Dr. Lok collaborates widely on projects involving immune activation, CD4 count trajectories in sub-Saharan HIV care, and personalized medicine.
Key collaborations include work with Dr. Victor DeGruttola on coarse structural nested models, Dr. Ron Bosch on long-term HIV outcomes, and Dr. Shu Yang on competing risks models. She has developed software for causal mediation analysis and contributed to foundational statistical theory, including rigorous proofs of estimator properties in continuous and discrete time. Her methodologies have been published in top journals like the Annals of Statistics and Scandinavian Journal of Statistics.
Dr. Lok’s research spans theoretical advancements and applied public health challenges, emphasizing rigorous causal frameworks to address real-world medical questions. She advises students and mentors teams on trials optimizing treatment packages while addressing issues like informative censoring and unmeasured confounding.
