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
Patterns of Utilization and Expenditure Across Multiple Sclerosis Disease-Modifying Therapies: A Retrospective Cohort Study Using Claims Data from a Commercially Insured Population in the United States, 2010-2019.
Authors: Zhu W, Tang X, Heyman RA, Cai T, Suh K, Seeger JD, Xia Z.
Neurol Ther
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Neurol Ther
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Efficient Evaluation of Prediction Rules in Semi-Supervised Settings under Stratified Sampling.
Authors: Gronsbell J, Liu M, Tian L, Cai T.
J R Stat Soc Series B Stat Methodol
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J R Stat Soc Series B Stat Methodol
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Scalable relevance ranking algorithm via semantic similarity assessment improves efficiency of medical chart review.
Authors: Cai T, He Z, Hong C, Zhang Y, Ho YL, Honerlaw J, Geva A, Ayakulangara Panickan V, King A, Gagnon DR, Gaziano M, Cho K, Liao K, Cai T.
J Biomed Inform
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J Biomed Inform
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Comorbidity influences the comparative safety of biologic therapy in older adults with inflammatory bowel diseases.
Authors: Cheng D, Kochar B, Cai T, Ritchie CS, Ananthakrishnan AN.
Am J Gastroenterol
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Am J Gastroenterol
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Semi-supervised approach to event time annotation using longitudinal electronic health records.
International electronic health record-derived post-acute sequelae profiles of COVID-19 patients.
Authors: Zhang HG, Dagliati A, Shakeri Hossein Abad Z, Xiong X, Bonzel CL, Xia Z, Tan BWQ, Avillach P, Brat GA, Hong C, Morris M, Visweswaran S, Patel LP, Gutiérrez-Sacristán A, Hanauer DA, Holmes JH, Samayamuthu MJ, Bourgeois FT, L'Yi S, Maidlow SE, Moal B, Murphy SN, Strasser ZH, Neuraz A, Ngiam KY, Loh NHW, Omenn GS, Prunotto A, Dalvin LA, Klann JG, Schubert P, Vidorreta FJS, Benoit V, Verdy G, Kavuluru R, Estiri H, Luo Y, Malovini A, Tibollo V, Bellazzi R, Cho K, Ho YL, Tan ALM, Tan BWL, Gehlenborg N, Lozano-Zahonero S, Jouhet V, Chiovato L, Aronow BJ, Toh EMS, Wong WGS, Pizzimenti S, Wagholikar KB, Bucalo M, Cai T, South AM, Kohane IS, Weber GM.
NPJ Digit Med
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NPJ Digit Med
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New weighting methods when cases are only a subset of events in a nested case-control study.
International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality.
Authors: Weber GM, Hong C, Xia Z, Palmer NP, Avillach P, L'Yi S, Keller MS, Murphy SN, Gutiérrez-Sacristán A, Bonzel CL, Serret-Larmande A, Neuraz A, Omenn GS, Visweswaran S, Klann JG, South AM, Loh NHW, Cannataro M, Beaulieu-Jones BK, Bellazzi R, Agapito G, Alessiani M, Aronow BJ, Bell DS, Benoit V, Bourgeois FT, Chiovato L, Cho K, Dagliati A, DuVall SL, Barrio NG, Hanauer DA, Ho YL, Holmes JH, Issitt RW, Liu M, Luo Y, Lynch KE, Maidlow SE, Malovini A, Mandl KD, Mao C, Matheny ME, Moore JH, Morris JS, Morris M, Mowery DL, Ngiam KY, Patel LP, Pedrera-Jimenez M, Ramoni RB, Schriver ER, Schubert P, Balazote PS, Spiridou A, Tan ALM, Tan BWL, Tibollo V, Torti C, Trecarichi EM, Wang X, Kohane IS, Cai T, Brat GA.
NPJ Digit Med
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NPJ Digit Med
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Temporal Trends in Clinical Evidence of 5-Year Survival Within Electronic Health Records Among Patients With Early-Stage Colon Cancer Managed With Laparoscopy-Assisted Colectomy vs Open Colectomy.
Authors: Hou J, Zhao R, Cai T, Beaulieu-Jones B, Seyok T, Dahal K, Yuan Q, Xiong X, Bonzel CL, Fox C, Christiani DC, Jemielita T, Liao KP, Liaw KL, Cai T.
JAMA Netw Open
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JAMA Netw Open
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Impact of COVID-19 Severity on Long-term Events in US Veterans using the Veterans Affairs Severity Index for COVID-19 (VASIC).
Authors: Galloway A, Park Y, Tanukonda V, Ho YL, Nguyen XT, Maripuri M, Dey AT, Gerlovin H, Posner D, Lynch KE, Cai T, Luoh SW, Whitbourne S, Gagnon DR, Muralidhar S, Tsao PS, Casas JP, Michael Gaziano J, Wilson PW, Hung AM, Cho K.
J Infect Dis
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J Infect Dis
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