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
Comparing costs associated with risk stratification rules for t-year survival.
Kernel machine approach to testing the significance of multiple genetic markers for risk prediction.
Rare-variant association testing for sequencing data with the sequence kernel association test.
Robust prediction of t-year survival with data from multiple studies.
The highest confidence density region and its usage for joint inferences about constrained parameters.
On the C-statistics for evaluating overall adequacy of risk prediction procedures with censored survival data.
Analysis of randomized comparative clinical trial data for personalized treatment selections.
Validation of psoriatic arthritis diagnoses in electronic medical records using natural language processing.
Incorporating short-term outcome information to predict long-term survival with discrete markers.
Genetic basis of autoantibody positive and negative rheumatoid arthritis risk in a multi-ethnic cohort derived from electronic health records.
Authors: Kurreeman F, Liao K, Chibnik L, Hickey B, Stahl E, Gainer V, Li G, Bry L, Mahan S, Ardlie K, Thomson B, Szolovits P, Churchill S, Murphy SN, Cai T, Raychaudhuri S, Kohane I, Karlson E, Plenge RM.
Am J Hum Genet
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Am J Hum Genet
View full abstract on Pubmed