معرفی
Lan Wen is an Assistant Professor in the Department of Biostatistics at the University of Waterloo. Their research focuses on causal inference, survival analysis, and missing data methodologies with applications in public health and epidemiology. They specialize in developing statistical methods for estimating causal effects in observational studies and clinical trials, particularly in the presence of confounding variables, censoring, and complex treatment regimens.
Lan's work bridges theoretical advancements and practical applications, addressing challenges in longitudinal cohort studies, HIV prevention strategies, and comparative effectiveness research. They have contributed to methodologies such as the parametric g-formula, robust estimation techniques, and meta-analysis approaches for evaluating model performance.
Key contributions include studies on grace periods in treatment comparisons, stochastic interventions in HIV prevention, and interpretability in causal inference. Their research emphasizes rigorous statistical modeling to inform healthcare policy and improve population health outcomes.
