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Kay See Tan, PhD

Assistant Attending Biostatistician

Kay See Tan, PhD

Office Phone




University of Pennsylvania

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.


Selected peer-reviewed publications:

  1. Impact of increasing age on cause-specific mortality and morbidity in patients with stage I non–small-cell lung cancer: A competing risks analysis. T Eguchi, S Bains, MC Lee, KS Tan, B Hristov, DH Buitrago, MS Bains, … Journal of Clinical Oncology 35 (3), 281-290

  2. Spread through Air Spaces (STAS) Is an Independent Predictor of Recurrence and Lung Cancer–Specific Death in Squamous Cell Carcinoma. S Lu, KS Tan, K Kadota, T Eguchi, S Bains, N Rekhtman, PS Adusumilli, …Journal of Thoracic Oncology 12 (2), 223-234

  3. HPV‐related oropharyngeal cancer: Risk factors for treatment failure in patients managed with primary transoral robotic surgery. JM Kaczmar, KS Tan, DF Heitjan, A Lin, PH Ahn, JG Newman, …Head & neck 38 (1), 59-65

For a complete list of publications: see.tan.1/bibliography/47546946/public/