Primary Faculty

Tianxi Cai

John Rock Professor of Population and Translational Data Sciences

Biostatistics

tcai@hsph.harvard.edu

Links

Faculty Website Catalyst Profile

Overview

Biography
Education and Training

Dr. Cai’s current research interests are mainly in the area of biomarker evaluation; model selection and validation; prediction methods; personalized medicine in disease diagnosis, prognosis and treatment; statistical inference with high dimensional data; and survival analysis.

In addition to her methdological research, Dr. Cai also collaborates with the I2B2 (Informatics for Integrating Biology and the Bedside) center on developing a scalable informatics framework that will bridge clinical research data and the vast data banks arising from basic science research in order to better understand the genetic bases of complex diseases.

Sc.D., 1999
Harvard University

Bibliography

Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?

Tan ALM, Getzen EJ, Hutch MR, Strasser ZH, Gutiérrez-Sacristán A, Le TT, Dagliati A, Morris M, Hanauer DA, Moal B, Bonzel CL, Yuan W, Chiudinelli L, Das P, Zhang HG, Aronow BJ, Avillach P, Brat GA, Cai T, Hong C, La Cava WG, Hooi Will Loh H, Luo Y, Murphy SN, Yuan Hgiam K, Omenn GS, Patel LP, Jebathilagam Samayamuthu M, Shriver ER, Shakeri Hossein Abad Z, Tan BWL, Visweswaran S, Wang X, Weber GM, Xia Z, Verdy B, Long Q, Mowery DL, Holmes JH.

J Biomed Inform. 2023 Mar. 139:104306. PMID: 36738870

Multimodal representation learning for predicting molecule-disease relations.

Wen J, Zhang X, Rush E, Panickan VA, Li X, Cai T, Zhou D, Ho YL, Costa L, Begoli E, Hong C, Gaziano JM, Cho K, Lu J, Liao KP, Zitnik M, Cai T.

Bioinformatics. 2023 02 03. 39(2). PMID: 36805623

Acute respiratory distress syndrome after SARS-CoV-2 infection on young adult population: International observational federated study based on electronic health records through the 4CE consortium.

Moal B, Orieux A, Ferté T, Neuraz A, Brat GA, Avillach P, Bonzel CL, Cai T, Cho K, Cossin S, Griffier R, Hanauer DA, Haverkamp C, Ho YL, Hong C, Hutch MR, Klann JG, Le TT, Loh NHW, Luo Y, Makoudjou A, Morris M, Mowery DL, Olson KL, Patel LP, Samayamuthu MJ, Sanz Vidorreta FJ, Schriver ER, Schubert P, Verdy G, Visweswaran S, Wang X, Weber GM, Xia Z, Yuan W, Zhang HG, Zöller D, Kohane IS, Boyer A, Jouhet V.

PLoS One. 2023. 18(1):e0266985. PMID: 36598895

Impact of Coronavirus Disease 2019 (COVID-19) Severity on Long-term Events in United States Veterans Using the Veterans Affairs Severity Index for COVID-19 (VASIC).

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, Gaziano JM, Wilson PWF, Hung AM, Cho K.

J Infect Dis. 2022 12 13. 226(12):2113-2117. PMID: 35512327

Hospitalizations Associated With Mental Health Conditions Among Adolescents in the US and France During the COVID-19 Pandemic.

Gutiérrez-Sacristán A, Serret-Larmande A, Hutch MR, Sáez C, Aronow BJ, Bhatnagar S, Bonzel CL, Cai T, Devkota B, Hanauer DA, Loh NHW, Luo Y, Moal B, Ahooyi TM, Njoroge WFM, Omenn GS, Sanchez-Pinto LN, South AM, Sperotto F, Tan ALM, Taylor DM, Verdy G, Visweswaran S, Xia Z, Zahner J, Avillach P, Bourgeois FT.

JAMA Netw Open. 2022 12 01. 5(12):e2246548. PMID: 36512353

Using a surrogate with heterogeneous utility to test for a treatment effect.

Parast L, Cai T, Tian L.

Stat Med. 2023 01 15. 42(1):68-88. PMID: 36372072

A semi-supervised adaptive Markov Gaussian embedding process (SAMGEP) for prediction of phenotype event times using the electronic health record.

Ahuja Y, Wen J, Hong C, Xia Z, Huang S, Cai T.

Sci Rep. 2022 10 22. 12(1):17737. PMID: 36273240

Identifying surrogate markers in real-world comparative effectiveness research.

Han L, Wang X, Cai T.

Stat Med. 2022 11 20. 41(26):5290-5304. PMID: 36062392

Weakly Semi-supervised phenotyping using Electronic Health records.

Nogues IE, Wen J, Lin Y, Liu M, Tedeschi SK, Geva A, Cai T, Hong C.

J Biomed Inform. 2022 10. 134:104175. PMID: 36064111

SurvMaximin: Robust federated approach to transporting survival risk prediction models.

Wang X, Zhang HG, Xiong X, Hong C, Weber GM, Brat GA, Bonzel CL, Luo Y, Duan R, Palmer NP, Hutch MR, Gutiérrez-Sacristán A, Bellazzi R, Chiovato L, Cho K, Dagliati A, Estiri H, García-Barrio N, Griffier R, Hanauer DA, Ho YL, Holmes JH, Keller MS, Klann MEng JG, L'Yi S, Lozano-Zahonero S, Maidlow SE, Makoudjou A, Malovini A, Moal B, Moore JH, Morris M, Mowery DL, Murphy SN, Neuraz A, Yuan Ngiam K, Omenn GS, Patel LP, Pedrera-Jiménez M, Prunotto A, Jebathilagam Samayamuthu M, Sanz Vidorreta FJ, Schriver ER, Schubert P, Serrano-Balazote P, South AM, Tan ALM, Tan BWL, Tibollo V, Tippmann P, Visweswaran S, Xia Z, Yuan W, Zöller D, Kohane IS, Avillach P, Guo Z, Cai T.

J Biomed Inform. 2022 10. 134:104176. PMID: 36007785

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