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Lan Wen is an Assistant Professor at the University of Waterloo, specializing in Biostatistics. She focuses on the development and application of statistical methods for causal inference and analysis in observational studies, particularly addressing the complications that arise from model misspecification, time-varying confounding, and censoring/missing data. Her research emphasizes the creation of novel methodologies that are grounded in practical applications, driven by real-life challenges in public health and medicine. Dr. Wen is dedicated to tackling the methodological and conceptual hurdles that researchers encounter when utilizing real-world data to address clinically pertinent questions. The challenges in observational studies often stem from the absence of randomization and the potential for subjects exiting the study for unreported reasons. Through her work, she aims to foster advancements in how statistical methods can improve health outcomes and assist public health scientists in their inquiries.
Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.