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
Multiple Testing of Submatrices of a Precision Matrix with Applications to Identification of Between Pathway Interactions.
Enabling phenotypic big data with PheNorm.
Authors: Yu S, Ma Y, Gronsbell J, Cai T, Ananthakrishnan AN, Gainer VS, Churchill SE, Szolovits P, Murphy SN, Kohane IS, Liao KP, Cai T.
J Am Med Inform Assoc
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J Am Med Inform Assoc
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A phenotyping algorithm to identify acute ischemic stroke accurately from a national biobank: the Million Veteran Program.
Authors: Imran TF, Posner D, Honerlaw J, Vassy JL, Song RJ, Ho YL, Kittner SJ, Liao KP, Cai T, O'Donnell CJ, Djousse L, Gagnon DR, Gaziano JM, Wilson PW, Cho K.
Clin Epidemiol
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Clin Epidemiol
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Antihyperglycemic Agents Are Inversely Associated With Intracranial Aneurysm Rupture.
Authors: Can A, Castro VM, Yu S, Dligach D, Finan S, Gainer VS, Shadick NA, Savova G, Murphy S, Cai T, Weiss ST, Du R.
Stroke
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Stroke
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Nonparametric Maximum Likelihood Estimators of Time-Dependent Accuracy Measures for Survival Outcome Under Two-Stage Sampling Designs.
Cerebral Artery Diameter in Inbred Mice Varies as a Function of Strain.
Augmented estimation for t-year survival with censored regression models.
Genomewide association studies of suicide attempts in US soldiers.
Authors: Stein MB, Ware EB, Mitchell C, Chen CY, Borja S, Cai T, Dempsey CL, Fullerton CS, Gelernter J, Heeringa SG, Jain S, Kessler RC, Naifeh JA, Nock MK, Ripke S, Sun X, Beckham JC, Kimbrel NA, Ursano RJ, Smoller JW.
Am J Med Genet B Neuropsychiatr Genet
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Am J Med Genet B Neuropsychiatr Genet
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Analysis of multiple diverse phenotypes via semiparametric canonical correlation analysis.
A general statistical framework for subgroup identification and comparative treatment scoring.
