Tianxi Cai, ScD
Professor of Biomedical Informatics, Harvard Medical School
John Rock Professor of Population and Translational Data Sciences, Harvard T.H. Chan School of Public Health
Director, Translational Data Science Center for a Learning Health System (CELEHS)
Tianxi Cai is a major player in developing analytical tools for mining EHR data and predictive modeling with biomedical data. She provides statistical leadership on several large-scale projects, including the NIH-funded Undiagnosed Diseases Network at DBMI. Cai's research lab develops novel statistical and machine learning methods for several areas including clinical trials, real world evidence, and personalized medicine using genomic and phenomic data. Cai received her ScD in Biostatistics at Harvard and was an assistant professor at the University of Washington before returning to Harvard as a faculty member in 2002.
DBMI Research Areas
Landmark Estimation of Survival and Treatment Effect in a Randomized Clinical Trial.
Lipid and lipoprotein levels and trend in rheumatoid arthritis compared to the general population.
Authors: Liao KP, Cai T, Gainer VS, Cagan A, Murphy SN, Liu C, Churchill S, Shaw SY, Kohane I, Solomon DH, Plenge RM, Karlson EW.
Arthritis Care Res (Hoboken)
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Arthritis Care Res (Hoboken)
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Omnibus risk assessment via accelerated failure time kernel machine modeling.
Assessment of biomarkers for risk prediction with nested case-control studies.
Adopting nested case-control quota sampling designs for the evaluation of risk markers.
Landmark risk prediction of residual life for breast cancer survival.
Reply to Sabanés Bové and Held's "comment on Cai and Betensky (2003), on the poisson approximation for hazard regression".
Normalization of plasma 25-hydroxy vitamin D is associated with reduced risk of surgery in Crohn's disease.
Authors: Ananthakrishnan AN, Cagan A, Gainer VS, Cai T, Cheng SC, Savova G, Chen P, Szolovits P, Xia Z, De Jager PL, Shaw SY, Churchill S, Karlson EW, Kohane I, Plenge RM, Murphy SN, Liao KP.
Inflamm Bowel Dis
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Inflamm Bowel Dis
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Evaluating incremental values from new predictors with net reclassification improvement in survival analysis.
A unified inference procedure for a class of measures to assess improvement in risk prediction systems with survival data.
