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Research AreaYEARNOTELINKTEXT
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Portable: Meta-Learning & Transfer Learning2025https://www.tandfonline.com/doi/full/10.1080/01621459.2025.2453249?casa_token=2jJpL3SVIkEAAAAA%3AUi1nddR9dHExHmDixfVC2uBeqc6yDJk_-AZNoy-hmQZrzLIl7hfIH6blBZPKrYxVXI_Y60sN511M2gHan, L., Hou, J., Cho, K., Duan, R. and Cai, T., 2025. Federated adaptive causal estimation (face) of target treatment effects. Journal of the American Statistical Association, (just-accepted), pp.1-25.
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Translational: Learning2025https://pubmed.ncbi.nlm.nih.gov/39755324/Wen J, Xue H, Rush E, Panickan VA, Cai T, Zhou D, Ho YL, Costa L, Begoli E, Hong C, Gaziano JM, Cho K, Liao KP, Lu J, **Cai T.** DOME: Directional medical embedding vectors from Electronic Health Records. J Biomed Inform. _**2025**_ Jan 2;162:104768. Epub ahead of print. PMID: 39755324.
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Portable: Meta-Learning & Transfer Learning2024https://www.tandfonline.com/doi/full/10.1080/01621459.2024.2443246?casa_token=L4gH21oHKB0AAAAA%3AzM7xUAknx9BpAqrDmidFHRw3Z7RZC6RfN4BxcUpZC8RCV8-1JELXe929GA5jnhI-cQXHgaPX1DatWAGuo, Z., Li, X., Han, L. and Cai, T., 2024. Robust inference for federated meta-learning. Journal of the American Statistical Association, (just-accepted), pp.1-27.
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2024https://www.tandfonline.com/doi/full/10.1080/01621459.2024.2356291?casa_token=vDXQggoRR1oAAAAA%3ARyEC16oa50oHhGKB6LH73od83tFZaWcBk1hf331l8J41gdwCg8kFxZ14jxyw105zr-7_lTuFkCGYeQZhou, D., Liu, M., Li, M. and Cai, T., 2024. Doubly robust augmented model accuracy transfer inference with high dimensional features. Journal of the American Statistical Association, (just-accepted), pp.1-26.
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Portable: Meta-Learning & Transfer Learning202410.1093/biomtc/ujae002Wang L, Wang X, Liao KP, **Cai T**. Semisupervised transfer learning for evaluation of model classification performance. _Biometrics_.**2024** January.
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Portable: Meta-Learning & Transfer Learning2024https://doi.org/10.1080/01621459.2024.2310287Zhou D, Zhang Y, Sonabend A, Wang Z, Lu J, **Cai T**. Federated Offline Reinforcement Learning. _Journal of the American Statistical Association_. **2024** April. P 3152-3163.
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Portable: Cross System2024https://pubmed.ncbi.nlm.nih.gov/39533050/Li M, Li X, Pan K, Geva A, Yang D, Sweet SM, Bonzel CL, Ayakulangara Panickan V, Xiong X, Mandl K, **Cai T.** Multisource representation learning for pediatric knowledge extraction from electronic health records. NPJ Digit Med. _**2024** November. 7(1):319. PMID: 39533050; PMCID: PMC11558010.
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Translational: Learning2024https://doi.org/10.1214/23-AOAS1818Sun J, Liao KP, **Cai T**. Learning healthcare delivery network with longitudinal electronic health records data. _The Annals of Applied Statistics_. **2024** March. Ann. Appl. Stat. 18 (1) 882 - 898.
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Guo X, Bourgeois FT, **Cai T.** Quantifying proportion of treatment effect by surrogate endpoint under heterogeneity. Stat Methods Med Res. _**2024**_33(7):1152-1162. doi: 10.1177/09622802241247719. Epub 2024 May 8. PMID: 38717356.
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Methods: 21st Trial2024https://doi.org/10.1093/biomtc/ujad035Parast L, **Cai T**, Tian L. A rank-based approach to evaluate a surrogate marker in a small sample setting. _Biometrics_. **2024** March.
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Methods: 21st Trial2024https://doi.org/10.1097/MLR.0000000000001956Parast L, Tian L, **Cai T** Latha P. Statistical Methods to Evaluate Surrogate Markers. _Medical Care_. **2024** February.
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Portable: Cross System2023https://doi.org/10.1016/j.jbi.2023.104415Lin Y, Lu K, **Cai T**, Zitnik M. Multimodal learning on graphs for disease relation extraction. _Journal of Biomedical Informatics_ **2023** July
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Methods: 21st Trial2023https://doi.org/10.1136/bmjdrc-2023-003585Parast L, Tian L, **Cai T**, Palaniappan LP. Can earlier biomarker measurements explain a treatment effect on diabetes incidence? A robust comparison of five surrogate markers. _BMJ Open Diabetes Research and Care_. **2023** October 31.
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Portable: Cross System2023https://www.jmlr.org/papers/v24/22-0642.htmlZhou D, **Cai T**, Lu J. Multi-source Learning via Completion of Block-wise Overlapping Noisy Matrices. _JMLR_. **2023**. 24(221):1-43
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Methods: Predictive2023https://doi.org/10.1111/biom.13599Hou J, Chan SF, Wang X, **Cai T**. Risk Prediction with Imperfect Survival Outcome Information from Electronic Health Records. _Biometrics_. **2023** March. Volume 79, Issue 1, Pages 190–202.
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Portable: Meta-Learning & Transfer Learning2023https://www.jmlr.org/papers/v24/22-0700.htmlLiu M, Zhang Y, Liao KP, **Cai T**. Augmented Transfer Regression Learning with Semi-non-parametric Nuisance Models. _JMLR_. **2023** Pages 1-24.
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Portable: Meta-Learning & Transfer Learning2023https://doi.org/10.1214/23-AOAS1747Li S, **Cai T**, Duan R. Targeting underrepresented populations in precision medicine: A federated transfer learning approach. _Ann. Appl. Stat_. **2023** December. (4):2970-2992
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Methods: high dim2023https://www.jmlr.org/papers/v24/21-1075.htmlHou J, Guo Z, **Cai T**. Surrogate Assisted Semi-supervised Inference for High Dimensional Risk Prediction. _JMLR_. **2023** 24(265):1−58
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Methods: Real World2023https://www.jmlr.org/papers/v24/21-0187.htmlSonabend-W A, Laha N, Ananthakrishnan AN, **Cai T**, Mukherjee R. Semi-Supervised Off-Policy Reinforcement Learning and Value Estimation for Dynamic Treatment Regimes. _JMLR_. **2023** Pages 1-86.
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Methods: Real World2023https://pubmed.ncbi.nlm.nih.gov/37603326/Wang X, Panickan AV, Cai T, Xiong, Cho K, **Cai T**, Bourgeois TF. Endovascular Aneurysm Repair Devices as a Use Case for Postmarketing Surveillance of Medical Devices. _JAMA Intern Med_. **2023** Aug 21.183(10):1090-1097.
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Translationl: Enabling2023https://pubmed.ncbi.nlm.nih.gov/37331495/Hong C, Liang L, Yuan Q, Cho K, Liao KP, Pencina MJ, Christiani DC, **Cai T**. Semi-supervised calibration of noisy event risk (SCANER) with electronic health records. _J Biomed Inform_. **2023** 08; 144:104425. PMID: 37331495
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Methods: Real World2023https://link.springer.com/article/10.1186/s13075-023-03072-0Das P, Weisenfeld D, Dahal K, De D, Feathers V, Coblyn JS, Weinblatt ME, Shadick NA, **Cai T**, Liao KP. Utilizing biologic disease-modifying anti-rheumatic treatment sequences to subphenotype rheumatoid arthritis. _Springer Link_.**2023** June 2
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Translational: Biobank2023https://doi.org/10.1016/j.ebiom.2023.104581Zhang HG, McDermott G, Seyok T, Huang S, Dahal K, L'Yi S, Bronzel CL, Stratton J, Weisenfeld D, Monach P, Raychaudhuri S, Yu KH, Cai T, Cui J, Hong C, **Cai T**, Liao KP. Identifying shared genetic architecture between rheumatoid arthritis and other conditions: a phenome-wide association study with genetic risk scores._eBioMedicine The Lancent Discovery Science_. **2023** April 28.
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Methods: Real World2023https://www.jmir.org/2023/1/e45662Hou J, Zhao R, Gronsbell J, Lin Y, Bonzel CL, Zeng Q, Zhang S, Beaulieu-Jones BK, Weber GM, Jemielita T, Wan SS, Hong C, Cai T, Wen J, Ayakulangara Panickan V, Liaw KL, Liao K, **Cai T**. Generate Analysis-Ready Data for Real-world Evidence: Tutorial for Harnessing Electronic Health Records With Advanced Informatic Technologies._JMIR_.**2023** May 25
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Methods: 21st Trial2023https://pubmed.ncbi.nlm.nih.gov/36372072/Parast L, **Cai T**, Tian L. Using a surrogate with heterogeneous utility to test for a treatment effect. _Stat Med_ . **2023** 01 15; 42(1):68-88. PMID: 36372072; PMCID: PMC10259671
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Methods: Real World2023https://doi.org/10.1080/01621459.2022.2157727Guo X, Wei W, Liu M, **Cai T**, Wu C, Wang J. Assessing the Most Vulnerable Subgroup to Type II Diabetes Associated with Statin Usage: Evidence from Electronic Health Record Data. _ Journal of the American Statistical Association_.**2023** January 20. Pages 1488-1499
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Translationl: Enabling2023https://doi.org/10.1093/biostatistics/kxac003Ahuja Y, Liang L, Zhou D, Huang S, **Cai T**. Semisupervised Calibration of Risk with Noisy Event Times (SCORNET) using electronic health record data. _Biostatistics_. **2023** July. Volume 24, Issue 3, Pages 760–775
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Translationl: Enabling2022https://pubmed.ncbi.nlm.nih.gov/36273240/Ahuja Y, Wen J, Hong C, Xia Z, Huang S, **Cai T**. A semi-supervised adaptive Markov Gaussian embedding process (SAMGEP) for prediction of phenotype event times using the electronic health record. _Sci Rep_. **2022** Oct 22; 12(1):17737.
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Methods: Real World2022https://pubmed.ncbi.nlm.nih.gov/36062392/Han L, Wang X, **Cai T**. Identifying surrogate markers in real-world comparative effectiveness research. _Stat Med_. **2022** Nov 20; 41(26):5290-5304
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2022https://pubmed.ncbi.nlm.nih.gov/35754309/Zhou QM, Wang X, Zheng Y, **Cai T**. New weighting methods when cases are only a subset of events in a nested case-control study. _Biom J_. **2022** Oct; 64(7):1240-1259
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Translationl: Enabling2022https://pubmed.ncbi.nlm.nih.gov/35753014/Liang L, Hou J, Uno H, Cho K, Ma Y, **Cai T**. Semi-supervised approach to event time annotation using longitudinal electronic health records. _Lifetime Data Anal_. **2022** 07; 28(3):428-491.
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Methods: Predictive2022https://pubmed.ncbi.nlm.nih.gov/36275859/Gronsbell J, Liu M, Tian L, **Cai T**. Efficient Evaluation of Prediction Rules in Semi-Supervised Settings under Stratified Sampling. _J R Stat Soc Series B Stat Methodol_. **2022** Sep; 84(4):1353-1391.
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Methods: 21st Trial2022https://pubmed.ncbi.nlm.nih.gov/35426444/Wang X, Parast L, Han L, Tian L, **Cai T**. Robust approach to combining multiple markers to improve surrogacy. _Biometrics_. **2022** Apr 15. Pages 788-798.
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Methods: Predictive2022https://pubmed.ncbi.nlm.nih.gov/32909599/Hong C, Wang Y, **Cai T**. A divide-and-conquer method for sparse risk prediction and evaluation. _Biostatistics_. **2022** 04 13; 23(2):397-411.
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Methods: high dim2021https://doi.org/10.1111/rssb.12426**Cai T**, Cai TT, Guo Z. Optimal statistical inference for individualized treatment effects in high-dimensional models. _J R Stat Soc Series B_. **2021**;83:669–719.
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Methods: 21st Trial2021https://doi.org/10.1111/biom.13600Parast L, **Cai T**, Tian L. Testing for heterogeneity in the utility of a surrogate marker._Journal of the International Biometric Society_. **2021** Decemeber 7. Pages 799-810
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Methods: high dim2021https://doi.org/10.1080/01621459.2021.1904958**Cai T**, Liu M, Xia Y. Individual Data Protected Integrative Regression Analysis of High-Dimensional Heterogeneous Data. _Journal of the American Statistical Association_. **2021** May. Pages 2105-2119
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Methods: Predictive2021https://pubmed.ncbi.nlm.nih.gov/32562264Chan S, Wang X, Jazic I, Peskoe S, Zheng Y, **Cai T**. Developing and evaluating risk prediction models with panel current status data. _Biometrics_. **2021** 06; 77(2):599-609.
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Methods: Real World2021https://pubmed.ncbi.nlm.nih.gov/32413171Cheng D, Ananthakrishnan AN, **Cai T**. Robust and efficient semi-supervised estimation of average treatment effects with application to electronic health records data. _Biometrics_. **2021** 06; 77(2):413-423.
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Methods: high dim2021https://jmlr.org/papers/v22/20-774.htmlLiu M, Xia Y, Cho K, **Cai T**. Integrative High Dimensional Multiple Testing with Heterogeneity under Data Sharing Constraints. _Journal of Machine Learning Research_. **2021**; 22(126):1-26.
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Methods: 21st Trial2021https://pubmed.ncbi.nlm.nih.gov/34474500Wang X, **Cai T**, Tian L, Bourgeois F, Parast L. Quantifying the feasibility of shortening clinical trial duration using surrogate markers. _Stat Med_. **2021** Sep 02. Pages 6321-6343
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2021https://pubmed.ncbi.nlm.nih.gov/33915597Wang X, Zheng Y, Jensen MK, He Z, **Cai T**. Biomarker evaluation under imperfect nested case-control design. _Stat Med_. **2021** 08 15; 40(18):4035-4052.
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Methods: Predictive2021https://pubmed.ncbi.nlm.nih.gov/31545341Wang Y, Hong C, Palmer N, Di Q, Schwartz J, Kohane I, **Cai T**. A fast divide-and-conquer sparse Cox regression. _Biostatistics_. **2021** 04 10; 22(2):381-401.
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Translational: Biobank2021https://pubmed.ncbi.nlm.nih.gov/34608931Zhang HG, Hejblum BP, Weber GM, Palmer NP, Churchill SE, Szolovits P, Murphy SN, Liao KP, Kohane IS, **Cai T**. ATLAS: an automated association test using probabilistically linked health records with application to genetic studies. _J Am Med Inform Assoc_. **2021** Oct 05. Pages 2582–2592.
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Methods: Predictive2021https://doi.org/10.5705/ss.202019.0066Zheng Y, Lu T, **Cai T**. Efficient and robust estimation of t-year risk prediction models leveraging time varying intermediate outcomes. _Statistica Sinica_. **2021**; 31:1531-1547.
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Translationl: Enabling2020https://pubmed.ncbi.nlm.nih.gov/32548637Ahuja Y, Zhou D, He Z, Sun J, Castro VM, Gainer V, Murphy SN, Hong C, **Cai T**. sureLDA: A multidisease automated phenotyping method for the electronic health record. _J Am Med Inform Assoc_. **2020** 08 01; 27(8):1235-1243.
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Methods: Predictive2020https://pubmed.ncbi.nlm.nih.gov/30943854Chan SF, Hejblum BP, Chakrabortty A, **Cai T**. Semi-supervised estimation of covariance with application to phenome-wide association studies with electronic medical records data. _Stat Methods Med Res_. **2020** 02; 29(2):455-465.
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Methods: Real World2020https://pubmed.ncbi.nlm.nih.gov/31797368Cheng D, Chakrabortty A, Ananthakrishnan AN, **Cai T**. Estimating average treatment effects with a double-index propensity score. _Biometrics_. **2020** 09; 76(3):767-777.
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Methods: 21st Trial2020https://pubmed.ncbi.nlm.nih.gov/32920821Parast L, **Cai T**, Tian L. Evaluating multiple surrogate markers with censored data. _Biometrics_. **2020** Sep 13. Pages 1315-1327
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Methods: 21st Trial2020https://pubmed.ncbi.nlm.nih.gov/30980316Parast L, Tian L, **Cai T**. Assessing the value of a censored surrogate outcome. _Lifetime Data Anal_. **2020** 04; 26(2):245-265.
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Portable: Cross System2020https://doi.org/10.1080/01621459.2020.1752219Shi X, Li X, **Cai T**. Spherical Regression Under Mismatch Corruption With Application to Automated Knowledge Translation. _Journal of the American Statistical Association_. **2020** Pages 1953-1964.
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Methods: 21st Trial2020https://pubmed.ncbi.nlm.nih.gov/32587413Wang X, Parast L, Tian LU, **Cai T**. Model-free approach to quantifying the proportion of treatment effect explained by a surrogate marker. _Biometrika_. **2020** Mar; 107(1):107-122.
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2019https://pubmed.ncbi.nlm.nih.gov/31889766**Cai T**, Cai TT, Liao K, Liu W. Large-Scale Simultaneous Testing of Cross-Covariance Matrices with Applications to PheWAS. _Stat Sin_. **2019** Apr; 29(2):983-1005.
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2019https://doi.org/10.1007/s10742-018-0192-5Gamerman V, **Cai T**, Elsäßer A. Pragmatic randomized clinical trials: best practices and statistical guidance. _Health Serv Outcomes Res Method_. **2019**; 19:23–35.
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2019https://pubmed.ncbi.nlm.nih.gov/30353568Goodman MO, Chibnik L, **Cai T**. Variance components genetic association test for zero-inflated count outcomes. _Genet Epidemiol_. **2019** 02; 43(1):82-101.
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2019https://pubmed.ncbi.nlm.nih.gov/30353541Gronsbell J, Minnier J, Yu S, Liao K, **Cai T**. Automated feature selection of predictors in electronic medical records data. _Biometrics_. **2019** 03; 75(1):268-277.
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2019https://pubmed.ncbi.nlm.nih.gov/30620344Hejblum BP, Weber GM, Liao KP, Palmer NP, Churchill S, Shadick NA, Szolovits P, Murphy SN, Kohane IS, **Cai T**. Probabilistic record linkage of de-identified research datasets with discrepancies using diagnosis codes. _Sci Data_. **2019** 01 08; 6:180298.
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2019https://pubmed.ncbi.nlm.nih.gov/30267536Hong C, Liao KP, **Cai T**. Semi-supervised validation of multiple surrogate outcomes with application to electronic medical records phenotyping. _Biometrics_. **2019** 03; 75(1):78-89.
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2019https://pubmed.ncbi.nlm.nih.gov/31613361Liao KP, Sun J, Cai TA, Link N, Hong C, Huang J, Huffman JE, Gronsbell J, Zhang Y, Ho YL, Castro V, Gainer V, Murphy SN, O'Donnell CJ, Gaziano JM, Cho K, Szolovits P, Kohane IS, Yu S, **Cai T**. High-throughput multimodal automated phenotyping (MAP) with application to PheWAS. _J Am Med Inform Assoc_. **2019** 11 01; 26(11):1255-1262.
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2019https://pubmed.ncbi.nlm.nih.gov/29912281Maziarz M, **Cai T**, Qi L, Lok AS, Zheng Y. Evaluating longitudinal markers under two-phase study designs. _Biostatistics_. **2019** 07 01; 20(3):485-498.
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2019https://pubmed.ncbi.nlm.nih.gov/30738949Ning W, Chan S, Beam A, Yu M, Geva A, Liao K, Mullen M, Mandl KD, Kohane I, **Cai T**, Yu S. Feature extraction for phenotyping from semantic and knowledge resources. _J Biomed Inform_. **2019** 03; 91:103122.
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2019https://pubmed.ncbi.nlm.nih.gov/31009073Parast L, **Cai T**, Tian L. Using a surrogate marker for early testing of a treatment effect. _Biometrics_. **2019** 12; 75(4):1253-1263.
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2019https://pubmed.ncbi.nlm.nih.gov/31672532Zhang L, Zhang Y, Cai T, Ahuja Y, He Z, Ho YL, Beam A, Cho K, Carroll R, Denny J, Kohane I, Liao K, **Cai T**. Automated grouping of medical codes via multiview banded spectral clustering. _J Biomed Inform_. **2019** 12; 100:103322.
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2019https://pubmed.ncbi.nlm.nih.gov/31748751Zhang Y, Cai T, Yu S, Cho K, Hong C, Sun J, Huang J, Ho YL, Ananthakrishnan AN, Xia Z, Shaw SY, Gainer V, Castro V, Link N, Honerlaw J, Huang S, Gagnon D, Karlson EW, Plenge RM, Szolovits P, Savova G, Churchill S, O'Donnell C, Murphy SN, Gaziano JM, Kohane I, **Cai T**, Liao KP. High-throughput phenotyping with electronic medical record data using a common semi-supervised approach (PheCAP). _Nat Protoc_. **2019** 12; 14(12):3426-3444.
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2018https://pubmed.ncbi.nlm.nih.gov/32256927Agniel D, Xie W, Essex M, **Cai T**. Functional principal variance component testing for a genetic association study of HIV progression. _Ann Appl Stat_. **2018** Sep; 12(3):1871-1893.
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2018https://pubmed.ncbi.nlm.nih.gov/30555194Liu D, **Cai T**, Lok A, Zheng Y. Nonparametric Maximum Likelihood Estimators of Time-Dependent Accuracy Measures for Survival Outcome Under Two-Stage Sampling Designs. _J Am Stat Assoc_. **2018**; 113(522):882-892.
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2018https://pubmed.ncbi.nlm.nih.gov/29664143Sinnott JA, **Cai T**. Pathway aggregation for survival prediction via multiple kernel learning. _Stat Med_. **2018** 07 20; 37(16):2501-2515.
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2018https://pubmed.ncbi.nlm.nih.gov/29881130Xia Y, **Cai T**, Cai TT. Multiple Testing of Submatrices of a Precision Matrix with Applications to Identification of Between Pathway Interactions. _J Am Stat Assoc_. **2018**; 113(521):328-339.
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2018https://pubmed.ncbi.nlm.nih.gov/29386856Xia Y, **Cai T**, Cai TT. Two-Sample Tests for High-Dimensional Linear Regression with an Application to Detecting Interactions. _Stat Sin_. **2018** Jan; 28:63-92.
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2018https://pubmed.ncbi.nlm.nih.gov/29126253Yu S, Ma Y, Gronsbell J, Cai T, Ananthakrishnan AN, Gainer VS, Churchill SE, Szolovits P, Murphy SN, Kohane IS, Liao KP, **Cai T**. Enabling phenotypic big data with PheNorm. _J Am Med Inform Assoc_. **2018** 01 01; 25(1):54-60.
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2017https://pubmed.ncbi.nlm.nih.gov/28407213Agniel D, **Cai T**. Analysis of multiple diverse phenotypes via semiparametric canonical correlation analysis. _Biometrics_. **2017** 12; 73(4):1254-1265.
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2017https://pubmed.ncbi.nlm.nih.gov/28211943Chen S, Tian L, **Cai T**, Yu M. A general statistical framework for subgroup identification and comparative treatment scoring. _Biometrics_. **2017** 12; 73(4):1199-1209.
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2017https://pubmed.ncbi.nlm.nih.gov/28273695Dai W, Yang M, Wang C, **Cai T**. Sequence robust association test for familial data. _Biometrics_. **2017** 09; 73(3):876-884.
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2017https://pubmed.ncbi.nlm.nih.gov/28365588Koch M, Furtado JD, Jiang GZ, Gray BE, **Cai T**, Sacks F, Tjønneland A, Overvad K, Jensen MK. Associations of anthropometry and lifestyle factors with HDL subspecies according to apolipoprotein C-III. _J Lipid Res_. **2017** 06; 58(6):1196-1203.
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2017https://pubmed.ncbi.nlm.nih.gov/27438160Maziarz M, Heagerty P, **Cai T**, Zheng Y. On longitudinal prediction with time-to-event outcome: Comparison of modeling options. _Biometrics_. **2017** 03; 73(1):83-93.
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2017https://pubmed.ncbi.nlm.nih.gov/28088843Parast L, **Cai T**, Tian L. Evaluating surrogate marker information using censored data. _Stat Med_. **2017** 05 20; 36(11):1767-1782.
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2017https://pubmed.ncbi.nlm.nih.gov/27677958Wang X, Zhang Z, Morris N, **Cai T**, Lee S, Wang C, Yu TW, Walsh CA, Lin X. Rare variant association test in family-based sequencing studies. _Brief Bioinform_. **2017** Nov 01; 18(6):954-961.
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2017https://pubmed.ncbi.nlm.nih.gov/27632993Yu S, Chakrabortty A, Liao KP, Cai T, Ananthakrishnan AN, Gainer VS, Churchill SE, Szolovits P, Murphy SN, Kohane IS, **Cai T**. Surrogate-assisted feature extraction for high-throughput phenotyping. _J Am Med Inform Assoc_. **2017** Apr 01; 24(e1):e143-e149.
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2017https://pubmed.ncbi.nlm.nih.gov/28294286Zheng Y, **Cai T**. Augmented estimation for t-year survival with censored regression models. _Biometrics_. **2017** 12; 73(4):1169-1178.
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2017https://pubmed.ncbi.nlm.nih.gov/28943991Zheng Y, Brown M, Lok A, **Cai T**. Improving efficiency in biomarker incremental value evaluation under two-phase designs. _Ann Appl Stat_. **2017** Jun; 11(2):638-654.
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2017https://pubmed.ncbi.nlm.nih.gov/29335682Zhou QM, Dai W, Zheng Y, **Cai T**. Robust Dynamic Risk Prediction with Longitudinal Studies. _Stat Theory Relat Fields_. **2017**; 1(2):159-170.
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2016https://pubmed.ncbi.nlm.nih.gov/28042188**Cai T**, Cai TT, Zhang A. Structured Matrix Completion with Applications to Genomic Data Integration. _J Am Stat Assoc_. **2016**; 111(514):621-633.
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2016https://pubmed.ncbi.nlm.nih.gov/26910481Agniel D, Liao KP, **Cai T**. Estimation and testing for multiple regulation of multivariate mixed outcomes. _Biometrics_. **2016** 12; 72(4):1194-1205.
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2016https://pubmed.ncbi.nlm.nih.gov/27488097He Q, **Cai T**, Liu Y, Zhao N, Harmon QE, Almli LM, Binder EB, Engel SM, Ressler KJ, Conneely KN, Lin X, Wu MC. Prioritizing individual genetic variants after kernel machine testing using variable selection. _Genet Epidemiol_. **2016** Dec; 40(8):722-731.
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2016https://pubmed.ncbi.nlm.nih.gov/26887583Huang YT, **Cai T**, Kim E. Integrative genomic testing of cancer survival using semiparametric linear transformation models. _Stat Med_. **2016** 07 20; 35(16):2831-44.
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2016https://pubmed.ncbi.nlm.nih.gov/26618735Huang YT, **Cai T**. Mediation analysis for survival data using semiparametric probit models. _Biometrics_. **2016** 06; 72(2):563-74.
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2016https://pubmed.ncbi.nlm.nih.gov/26689167Li J, Zhao L, Tian L, **Cai T**, Claggett B, Callegaro A, Dizier B, Spiessens B, Ulloa-Montoya F, Wei LJ. A predictive enrichment procedure to identify potential responders to a new therapy for randomized, comparative controlled clinical studies. _Biometrics_. **2016** 09; 72(3):877-87.
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2016https://pubmed.ncbi.nlm.nih.gov/28503101Neykov M, Liu JS, **Cai T**. L1-Regularized Least Squares for Support Recovery of High Dimensional Single Index Models with Gaussian Designs. _J Mach Learn Res_. **2016** May; 17(1):2976-3012.
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2016https://pubmed.ncbi.nlm.nih.gov/26692376Payne R, Neykov M, Jensen MK, **Cai T**. Kernel machine testing for risk prediction with stratified case cohort studies. _Biometrics_. **2016** 06; 72(2):372-81.
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2016https://pubmed.ncbi.nlm.nih.gov/27037494Payne R, Yang M, Zheng Y, Jensen MK, **Cai T**. Robust risk prediction with biomarkers under two-phase stratified cohort design. _Biometrics_. **2016** 12; 72(4):1037-1045.
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2016https://pubmed.ncbi.nlm.nih.gov/26999054Shen Y, **Cai T**. Identifying predictive markers for personalized treatment selection. _Biometrics_. **2016** 12; 72(4):1017-1025.
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2016https://pubmed.ncbi.nlm.nih.gov/27107008Sinnott JA, **Cai T**. Inference for survival prediction under the regularized Cox model. _Biostatistics_. **2016** 10; 17(4):692-707.
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2016https://pubmed.ncbi.nlm.nih.gov/29422691Yong FH, Tian L, Yu S, **Cai T**, Wei LJ. Optimal stratification in outcome prediction using baseline information. _Biometrika_. **2016** 12; 103(4):817-828.
95
2015https://pubmed.ncbi.nlm.nih.gov/26236061Minnier J, Yuan M, Liu JS, **Cai T**. Risk Classification with an Adaptive Naive Bayes Kernel Machine Model. _J Am Stat Assoc_. **2015** Apr 22; 110(509):393-404.
96
2015https://pubmed.ncbi.nlm.nih.gov/26177343Shen Y, **Cai T**, Chen Y, Yang Y, Chen J. Retrospective likelihood-based methods for analyzing case-cohort genetic association studies. _Biometrics_. **2015** Dec; 71(4):960-8.
97
2015https://pubmed.ncbi.nlm.nih.gov/25196727Shen Y, Liao KP, **Cai T**. Sparse kernel machine regression for ordinal outcomes. _Biometrics_. **2015** Mar; 71(1):63-70.
98
2015https://pubmed.ncbi.nlm.nih.gov/28502988Xia Y, **Cai T**, Cai TT. Testing Differential Networks with Applications to Detecting Gene-by-Gene Interactions. __Biometrika__. **2015** Jun; 102(2):247-266.
99
2015https://pubmed.ncbi.nlm.nih.gov/25929596Yu S, Liao KP, Shaw SY, Gainer VS, Churchill SE, Szolovits P, Murphy SN, Kohane IS, **Cai T**. Toward high-throughput phenotyping: unbiased automated feature extraction and selection from knowledge sources. _J Am Med Inform Assoc_. **2015** Sep; 22(5):993-1000.
100
2015https://pubmed.ncbi.nlm.nih.gov/26195245Zhou QM, Zheng Y, Chibnik LB, Karlson EW, **Cai T**. Assessing incremental value of biomarkers with multi-phase nested case-control studies. _Biometrics_. **2015** Dec; 71(4):1139-49.