Dr. Tan’s research focuses on the joint modeling of longitudinal and recurrent-event data, particularly when an adverse event triggers outcome assessment in between prescheduled follow-up visits. Her methods estimate covariate-outcome associations when observation times may depend on outcome values and unmeasured patient-level characteristics to ensure patients with more observations are not over-represented in the analysis. She is also interested in methodological issues pertaining to patient-reported measures and cancer surveillance. Dr. Tan serves as the biostatistician for the Department of Anesthesiology and Critical Care as well as the Thoracic Surgery Service. She is currently serves as the membership director on the Junior Faculty Council at MSK.