Publications

Methodology Research

  1. L. Parast, T. Cai, L. Tian “Assessing the Value of a Censored Surrogate Outcome.” Lifetime Data Analysis, 2019, doi: 10.1007/s10985-019-09473-1.
  2. L. Parast, T. Cai, L. Tian “Using a surrogate marker for early testing of a treatment effect.” Biometrics, 2019, doi: 10.1111/biom.13067.
  3. X. Wang, L. Parast, L. Tian, T. Cai “Model Free Approach to Quantifying the Proportion of Treatment Effect Explained by a Surrogate Marker.” Biometrika, 2019, accepted.
  4. W. Ning, S. Chan, A. Beam, M. Yu, A. Geva, K. P. Liao, M. Mullen, K. Mandl, I. Kohane, T. Cai , S. Yu. “Feature Extraction for Phenotyping from Semantic and Knowledge Resources”. Journal of Biomedical Informatics, 2019, doi: 10.1016/j.jbi.2019.103122.
  5. M. Goodman, Lori B Chibnik, and T. Cai “Variance Components Genetic Association Test for Zero-inflated Count Outcomes” Genetic Epidemiology, 2019, doi: 10.1002/gepi.22162.
  6. J. Gronsbell, J. Minnier, S. Yu, K. Liao, and T. Cai “Automated Feature Selection of Predictors in Electronic Medical Records Data.” Biometrics, 2019, doi: 10.1111/biom.12987.
  7. C. Hong, K. Liao and T. Cai “Semi-supervised Validation of Multiple Surrogate Outcomes with Application to Electronic Medical Records Phenotyping.” Biometrics, 2019, doi: 10.1111/biom.12971.
  8. T. Cai, T.T. Cai, K. Liao, W. Liu “Large-Scale Simultaneous Testing of Cross-Covariance Matrices with Applications to PheWAS” Statistica Sinica, 2019, doi: 10.5705/ss.202017.0189.
  9. J. Sinnott and T. Cai * “Pathway aggregation for survival prediction via multiple kernel learning.” Statistics in Medicine 2018, 37(16), 2501-2515. (*: a PhD student thesis paper)
  10. J. Gronsbell and T. Cai * “Semi-Supervised Approaches to Efficient Evaluation of Model Prediction Performance.” Journal of Royal Statistical Society, Series B, 2018, 80(3): 579–94. (*: a PhD student thesis paper)
  11. D. Liu, T. Cai , A. Lok, Y. Zheng “Non-parametric Likelihood estimators of Time-Dependent Accuracy Measures for Survival Outcomes Under Two-Stage Sampling Designs”. Journal of the American Statistical Association, 2018, accepted.
  12. A. Chakrabortty and T. Cai * “Efficient and Adaptive Linear Regression in Semi-Supervised Settings.” Annals of Statistics, 2018, accepted. (*: a PhD student thesis paper)
  13. S. Yu, Y. Ma, J. Gronsbell, T. Cai, A. Ananthakrishnan, V. Gainer, S. Churchill, P. Szolovits, S. Murphy, I. Kohane, K. Liao and T. Cai “Enabling Phenotypic Big Data with PheNorm.” Journal of the American Medical Informatics Association, 2018, 25(1): 54-60.
  14. Y. Xia, T. Cai, T.T. Cai “Two-Sample Tests for High-Dimensional Linear Regression with an Application to Detecting Interactions”. Statistica Sinica, 2018, 28(1), 63-92. .
  15. Y. Xia, T. Cai , T.T. Cai “Multiple Testing of Submatrices of a Precision Matrix with Applications to Identification of Between Pathway Interactions. Journal of the American Statistical Association, 2018, 113(521), 328-339.
  16. Zhou QM, Dai W, Zheng Y, Cai T “Robust Dynamic Risk Prediction with Longitudinal Studies.” Stat Theory Related Fields. 2017;1(2):159-170.
  17. D. Agniel, T. Cai * “Analysis of multiple diverse phenotypes via semiparametric canonical correlation analysis.” Biometrics, 2017, 73(4): 1254-1265. (*: a PhD student thesis paper)
  18. L. Parast, T. Cai , L. Tian “Evaluating Surrogate Marker Information using Censored Data”. Statistics in Medicine, 2017, 36(11): 1767-1782.
  19. Y. Zheng T. Cai* “Augmented estimation for t-year survival with censored regression models”. Biometrics, 2017, 73(4): 1169-1178. (*: a PhD student thesis paper)
  20. W. Dai, M. Yang, C. Wang, and T. Cai* “Sequence Robust Association Test (SRAT) for Familial Data.” Biometrics, 2017, 73 (3), 876-84. (*: a PhD student thesis paper)
  21. Y. Zheng, M. Brown, A. Lok, T. Cai “Improving Efficiency in Biomarker Incremental Value Evaluation under Two-phase Designs”. Annals of Applied Statistics, 2017, 11 (2), 638-54.
  22. M. Maziarza, P. Heagerty, T. Cai, and Y. Zheng, “On Longitudinal Prediction with Time-to-Event Outcome: Comparison of Modeling Options.” Biometrics, 2017, 73 (1), 83-93.
  23. Wang, X., Zhang, Z., Morris, N., Cai, T. , Lee, S., Wang, C., Timothy, W.Y., Walsh, C.A. and Lin, X.“Rare variant association test in family-based sequencing studies.” Briefings in Bioinformatics, 2016.
  24. D. Agniel, K.P. Liao, T. Cai * “Estimation and testing for multiple regulation of multivariate mixed outcomes.” Biometrics. 2016 Dec;72(4):1194-1205. (*: a PhD student thesis paper)
  25. S. Yu, A. Chakrabortty, K. Liao, T. Cai, A. Ananthakrishnan, V. Gainer, S. Churchill, P. Szolovits, S. Murphy, I. Kohane and T. Cai “Surrogate-assisted feature extraction for high-throughput phenotyping”. Journal of the American Medical Informatics Association, 2016, 24 (e1): 143-9.
  26. F. Yang, L. Tian, S. Yu, T. Cai and L.J. Wei “Optimal stratification in outcome prediction using baseline information”. Biometrika, 2016, 103 (4), 817-28.
  27. Q. He, T. Cai, Y. Liu, N. Zhao, Q. Harmon, L. Almli, E. Binder, S. Engel, K. Ressler, K. Conneely, X. Lin and M. Wu “Prioritizing Individual Genetic Variants After Kernel Machine Testing Using Variable Selection”. Genetic Epidemiology, 2016, 40 (8), 722-31.
  28. M. Neykov, J. Liu and T. Cai* “L1-Regularized Least Squares for Support Recovery of High Dimensional Single Index Models with Gaussian Designs.” Journal of Machine Learning Research, 2016, 17(87), 1-37. (*: a PhD student thesis paper)
  29. R. Payne, M. Yang, Y. Zheng, M. K. Jensen and T. Cai * “Robust Risk Prediction with Biomarkers under Two-Phase Stratified Cohort Design “. Biometrics, 2016, 72(4), 1037-1045. (*: a PhD student thesis paper)
  30. M. Neykov, J. Liu, and T. Cai * “On the Characterization of a Class of Fisher-Consistent Loss Functions and its Application to Boosting”. Journal of Machine Learning Research, 2016, 17(70), 1-32. (*: a PhD student thesis paper)
  31. Y. Huang, T. Cai, and E. Kim, “Integrative genomic testing of cancer survival using semiparametric linear transformation models.” Statistics in Medicine, 2016, accepted.
  32. Y. Shen and T. Cai * “Identifying Predictive Markers for Personalized Treatment Selection”. Biometrics, 2016, 72(4), 1017-1025. (*: a PhD student thesis paper, winner of the John Van Ryzin Award)
  33. Q. Zhou, Y. Zheng, L. Chibnik, E. Karlson and T. Cai “Assessing Incremental Value of Biomarkers with Multi-phase Nested case-control Studies” Biometrics, 2015, 71(4), 1139-1149.
  34. Y. Shen, T. Cai, Y. Yang, and J. Chen “Retrospective Likelihood Based Methods for Analyzing Case-Cohort Genetic Association Studies” Biometrics, 2015, 71(4), 960-968.
  35. S. Yu, K. Liao, S. Shaw, V. Gainer, S. Churchill, P. Szolovits, S. Murphy, I. Kohane, and T. Cai, “Toward High-throughput Phenotyping: Unbiased Automated Feature Extraction and Selection from Knowledge Sources”. Journal of the American Medical Informatics Association, 2015, 22(5), 993-1000.
  36. Y. Xia, T. Cai, and T.T. Cai “Testing Differential Networks with Applications to Detecting Gene-by-Gene Interactions”. Biometrika, 2015, 102(2), 247-266.
  37. T. Cai, T.T. Cai, A. Zhang “Structured Matrix Completion with Applications to Genomic Data Integration” Journal of the American Statistical Association, 2015, 111(514), 621-633 .
  38. J. Minnier, M. Yuan, J. Liu and T. Cai* “Risk Classification with an Adaptive Naive Bayes KernelMachine Model.” Journal of the American Statistical Association, 2015, 110(509): 393-404 . (*: a PhD student thesis paper)
  39. Y. Shen, K. Liao, and T. Cai* “Sparse Kernel Machine Regression for Ordinal Outcomes”. Biometrics, 2015, 71(1):63-70 . (*: a PhD student thesis paper)
  40. J. Sinnott, W. Dai, K. Liao, S. Shaw, A. Ananthakrishnan, V. Gainer, E. Karlson, S. Churchill, P. Szolovits, S. Murphy, I. Kohane, R. Plenge, T. Cai. “Improving the Power of Genetic Association Tests with Imperfect Phenotype Derived from Electronic Medical Records”. Human Genetics, 2014, 133(11), 1369-1382.
  41. R. Matsouaka, J. Li, and T. Cai* “Evaluating Marker-Guided Treatment Selection Strategies.” Biometrics, 2014, 70(3), 489-499. (*: a PhD student thesis paper)
  42. L. Parast, L. Tian and T. Cai* “Landmark Estimation of Survival and Treatment Effect in a Randomized Clinical Trial” Journal of the American Statistical Association, 2014, 109(505):384-394 . (*: a PhD student thesis paper)
  43. T. Cai and Y. Zheng,“Resampling Procedures for Making Inference under Nested Case Control Studies.” Journal of the American Statistical Association, 2013, 108(504): 1532-1544 .
  44. Q. Zhou, Y. Zheng and T. Cai “Biomarker assessment with NCC studies”. Clinical Trials, 2013,10(5):677-9.
  45. Y. Zheng, T. Cai and M. S. Pepe “Adopting Nested Case-control Quota Sampling Designs for Risk Markers Evaluation”. Lifetime Data Analysis, 2013, 19(4):568-88.
  46. J. Sinnott and T. Cai* , “Omnibus Risk Assessment via Accelerated Failure Time Kernel Machine Modeling”. Biometrics, 2013, 69(4): 861-73. (*: a PhD student thesis paper).
  47. T. Cai, L. Tian, D. Lloyd-Jones and LJ. Wei, “ Evaluating subject-level incremental values of new markers for risk classifcation rule.” Lifetime Data Analysis, 2013, 19(4):547-67.
  48. L. Parast and T. Cai* , “Landmark risk prediction of residual life for breast cancer survival”. Statistics in Medicine, 2013, 32(20): 3459-71. (*: a PhD student thesis paper)
  49. L. Zhao, L. Tian, T. Cai, B. Claggett, and L. J. Wei. “Effectively Selecting A Target Population for A Future Comparative Study”. Journal of the American Statistical Association, 2013, 108(502):527-539.
  50. Y. Zheng, L. Parast, T. Cai, M. Brown “Evaluating Incremental Values from New Predictors with Net Reclassification Improvement in Survival Analysis” Lifetime Data Analysis, 2013, 19(3):350-70.
  51. Q. Zhou, Y. Zheng, and T. Cai, “Subgroup Specific Incremental Value of New Markers for Risk Prediction.” (: corresponding author) Lifetime Data Analysis, 2013, 19(2), 142-169.
  52. H. Uno, L. Tian, T. Cai, I. Kohane, and L. J. Wei, “A unified inference procedure for a class of measures to assess improvement in risk prediction systems with survival data.” Statistics in Medicine, 2013, 32(14):2430-42.
  53. L. Parast, S. Cheng and T. Cai* “Landmark Prediction of Long Term Survival Incorporating Short Term Event Time Information.” Journal of the American Statistical Association, 2012, 107, 1492-1501. (*: a PhD student thesis paper)
  54. D. Liu, T. Cai, and Y. Zheng, “Evaluating the Predictive Value of Biomarkers with Stratified Case-Cohort Design.” Biometrics, 2012, 68, 1219-27.
  55. T. Cai, X. Lin and R. J. Carroll, “Identifying Genetic Marker Sets Associated with Phenotypes via an Efficient Adaptive Score Test”. Biostatistics, 2012, 13 (4): 776-90.
  56. L. Tian, T. Cai , L. Zhao and L.J. Wei: “On the covariate-adjusted estimation for an overall treatment difference with data from a randomized comparative clinical trial”. Biostatistics, 2012, 13: 256-73.
  57. Y. Zheng, T. Cai , Y. Jin, and Z. Feng,“Evaluating Prognostic Accuracy of Biomarkers under Competing Risk”. Biometrics, 2012, 68(2):388-96
  58. T. Cai and Y. Zheng, “Evaluating Prognostic Accuracy of biomarkers under Nested Case-control Studies.” Biostatistics, 2012, 13:89-100.
  59. L. Leon and T. Cai* , “Model Checking Techniques for Assessing Functional Form Specifications in Censored Linear Regression Models”. Statistica Sinica, 2012, 509-30. (*: a PhD student thesis paper)
  60. X. Lin, T. Cai, M. Wu, Q. Zhou, D. Christiani, and X. Lin, “Kernel Machine SNP-set Analysis for Censored Survival Outcomes in Genome-wide Association Studies”. Genetic Epidemiology, 2011, 35:620-31.
  61. H. Uno, T. Cai, L. Tian, and L.J. Wei, “Graphical Procedures for Evaluating Overall and Subject-specific Incremental Values from New Predictors with Censored Event Time Data”. Biometrics, 2011, 67:1389-96.
  62. M. Wu, S. Lee, T. Cai, Y. Li, M. Boehnke and X. Lin, “Rare Variant Association Testing Using the Sequence Kernel Association Test (SKAT) for Sequence Studies.” American Journal of Human Genetics, 2011, 8, 82-93.
  63. J. Minnier, L. Tian, and T. Cai* , “A Perturbation Method for Inference on Regularized Regression Estimates”. Journal of the American Statistical Association, 2011, 106 (496) 1655-61. (*: a PhD student thesis paper)
  64. T. Cai and Y. Zheng, “Non-parametric Evaluation of Biomarker Accuracy under Nested Case-control Studies.” Journal of the American Statistical Association, 2011, 106(494): 569-580.
  65. T. Cai, L. Tian, and D. Lloyd-Jones, “Comparing Costs Associated with Risk Stratification Rules for t-year Survival”. Biostatistics, 2011, 12: 597-609.
  66. L. Parast, S. Cheng and T. Cai* , “Incorporating short-term outcome information to predict long-term survival with discrete markers.” Biometrical Journal, 2011, 53: 294-307. (*: a PhD student thesis paper)
  67. T. Cai, G. Tonini and X. Lin, “Kernel Machine Approach to Testing the Significance of Genomic Pathways.” Biometrics, 2011, 67: 975-86.
  68. H. Uno, T. Cai, M Pencina, R. D’Agostino and L.J. Wei, “On the C-Statistics for Evaluating Overall Adequacy of Risk Prediction Procedures with Censored Survival Data.” Statistics in Medicine, 2011, 30: 1105-17.
  69. S. McDaniel, J. Minnier, R. Betensky, G Mohapatra, Y. Shen, J. Gusella, D. Louis, and T. Cai* : “Assessing Population Level Genetic Instability via Moving Average.” Statistics in Biosciences, 2011, 2: 120-36. (*: a PhD student thesis paper)
  70. T. Cai, L. Tian, P. Wong and L. J. Wei, “Analysis of Randomized Comparative Clinical Trial Data for Personalized Treatment Selections.” Biostatistics, 2011: 12: 270-82.
  71. L. Tian, R. Wang, T. Cai and L. J. Wei, “ The Highest Confidence Density Region and Its Usage for Inferences About the Survival Function with Censored Data.” Biometrics, 2010, 2010, 67:604-10.
  72. T. Cai, T. Gerds, Y. Zheng, and J. Chen, “Robust Prediction of t-Year Survival with Data from Multiple Studies. ” Biometrics, 2010, 67: 436-44.
  73. T. Cai, L. Parast, and L. Ryan “ A Meta-Analysis For Rare Events.” Statistics in Medicine, 2010, 29 (20): 2078-89.
  74. R. Wang, L. Tian, T. Cai and L. J. Wei, “Nonparametric Inference Procedure for Percentiles of the Random Effect Distribution in Meta Analysis”. Annals of Applied Statistics, 2010, 4(1):520-32.
  75. Y. Zheng, T. Cai, J. Stanford and Z. Feng, “Semiparametric Models of Time-dependent Predictive Values of Prognostic Biomarkers”. Biometrics, 2010, 66(1): 50-60.
  76. T. Cai, L. Tian, H. Uno, S. Solomon, and L. J. Wei “Calibrating Parametric Subject-Specific Risk Estimation”. Biometrika, 2010, 97(2):389-404.
  77. L. Leon, T. Cai and L. J. Wei, “Robust Inferences for Covariate Effects on Survival Time with Censored Linear Regression Models.” Statistics in BioSciences, 2009, 1: 50-64.
  78. L. Tian, T. Cai, M. Pfeffer, N. Piankov, P. Cremieux and L. J. Wei, “Exact and efficient inference procedure for meta analysis and its application to the analysis of independent 2x2 tables with all available data but without artificial continuity correction.” Biostatistics, 2009, 10: 275-81.
  79. L. Tian, T. Cai and L.J. Wei, “Identifying subjects who benefit from additional information for better prediction of the outcome variables.” Biometrics, 2009, 65: 894-902.
  80. Y. Zheng, T. Cai, M. S. Pepe and W. Levy, “Time-dependent Predictive Values of Prognostic Biomarkers with Failure Time Outcome.” Journal of the American Statistical Association, 2008, 103: 362-368.
  81. T. Gerds, T. Cai and M. Schumacher, “The Performance of Risk Prediction Models.” Biometrical Journal 2008, 50: 457-79.
  82. B. Jiang, X. Zhang, and T. Cai, “Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers.” Journal of Machine Learning, 2008, 9:521-40.
  83. T. Cai, J. Huang and L. Tian, “Regularized Estimation for the Accelerated Failure Time Model.” Biometrics, 2008, 65: 394-404.
  84. T. Cai and L. Dodd “ Regression Analaysis for the Partial Area Under the ROC Curve.” Statistica Sinica, 2008, 18: 817-36.
  85. T. Cai and S. Cheng, “Robust Combination of Multiple Diagnostic Tests for Classifying Censored Event Times.” Biostatistics, 2008, 9(2):216-233.
  86. T. Cai, L. Tian, S. Solomn and L.J. Wei, “Predicting Future Responses Based on Possibly Misspecified Working Models.” Biometrika, 2008, 95(1):75-92.
  87. J. Ware and T. Cai, “Comments on Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond by M. J. Pencina et al.” Statistics in Medicine, 2007, 27(2), 185-187.
  88. H. Uno, T. Cai, L. Tian, and L.J. Wei, “Evaluating Prediction Rules for t-Year Survivors With Censored Regression Models.” Journal of the American Statistical Association, 2007, 102:527-37.
  89. L. Tian, T. Cai, E. Goetghebeur and L. J. Wei, “Model Evaluation Based on the Distribution of Estimated Absolute Prediction Error”. Biometrika, 2007, 94:297-311.
  90. T. Cai and Y. Zheng, “Model Checking for ROC Regression Analysis.” Biometrics, 2007, 63: 152-63.
  91. T. Cai, P. Gilbert and S. Self, “Joint Inferences on Vaccine Efficacy Against Infection and Disease, 2006, with Application to the First HIV Vaccine Efficacy Trial”. Journal of Biopharmaceutical Statistics, 16: 517-38.
  92. L. Tian and T. Cai, “On the Accelerated Failure Time Model for Current Status and Interval Censored Data.” Biometrika, 2006, 93: 329-42.
  93. Y. Zheng, T. Cai and Z. Feng, “Application of the time-dependent ROC Curves for Prognostic Accuracy with Multiple Biomarkers”. Biometrics, 2006, 62: 279-8.
  94. T. Cai, M. S. Pepe, Y. Zheng, T. Lumley and N. S. Jenney, “The Sensitivity and Specificity of Markers for Event Times.” Biostatistics, 2006, 72: 182-97.
  95. M. S. Pepe, T. Cai and G. Longton, “Robust Binary Regression for Optimally Combining Predictors”. Biometrics, 2006, 62: pp 221-9.
  96. T. Cai, L. Tian and L. J. Wei , “Semiparametric Box-Cox Power Transformation Models for Censored Survival Observations.” Biometrika, 2005, 92: 619-32.
  97. T. Cai and C. Moskowitz, : “Semiparametric Estimation of the Binormal ROC Curve”. Biostatistics, 2004, 5: 573-86.
  98. M. S. Pepe and T. Cai “Analysis of Placement Values for Evaluating Discriminatory Measures.” Biometrics, 2004, 60: 528-35.
  99. T. Cai, “Semi-parametric ROC Regression Analysis with Placement Values.” Biostatistics, 5: 45-60.
  100. T. Cai and S. C. Cheng , “Semi-parametric Regression for Doubly Censored Data.” Biometrika, 2004, 91: 277-90.
  101. T. Cai and R. A. Betensky , “Hazard Regression for Interval Censored Data with Penalized Spline.” Biometrics, 2003, 59: pp 570-9.
  102. T. Cai and M. S. Pepe , “Semi-parametric ROC Analysis to Evaluate Biomarker for Disease.” Journal of the American Statistical Association, 2002, 97: 1099-107.
  103. T. Cai, R.J. Hyndman and M. Wand , “Mixed Model-based Hazard Estimation.” Journal of the Computational and Graphical Statistics, 2002, 11: 784-98.
  104. T. Cai, S. Cheng and L.J. Wei , “Semi-Parametric Random Effects Models for Clustered Failure Time Data.” Journal of the American Statistical Association, 2002, 97: 514-2.
  105. T. Cai , L.J. Wei and M. Wilcox , “Semi-Paramteric Regression Analysis for Clustered Failure Time Data.” Biometrika, 2000, 867-878.
  106. T. Cai and L.J. Wei , “Regression Analysis for Multivariate Failure Time Observations.” Asymptotics in Statistics and Probability, 2000, 47-70.
  107. T. Cai and J. Shen, “Boundedness is Redundant in a Theorem of Daubechies.” Appl. Comp. Harm. Anal, 1999, volume 6, 400-40.

Collaborative Research

  1. V. Gamerman, T Cai , Amelie Elsaber “Pragmatic randomized clinical trials: best practices and statistical guidance.” Health Services & Outcomes Research Methodology, 2019, 19(1), 23-35.
  2. Imran TF, Posner D, Honerlaw J, Vassy J, Song RJ, Ho YL, Kittner S, Liao K, Cai T , O’Donnell CJ, Djousse L, Gagnon DR, Gaziano JM, Wilson PWF, Cho K “A phenotyping algorithm to identify acute ischemic stroke accurately from a national biobank: the Million Veteran Program.” Clinical Epidemiology, 2018, 10: 1509-1521.
  3. J. Furtado, R. Yamamoto, J. Melchior, A. Andraski, M. Gamez-Guerrero, P. Mulcahy, Z. He, T. Cai W. S. Davidson, F. Sacks “Distinct proteomic signatures in 16 HDL subspecies.” Arteriosclerosis, Thrombosis, and Vascular Biology, 2018, 38(12), 2827-2842.
  4. Cai, T., Zhang, Y., Ho, Y.L., Link, N., Sun, J., Huang, J., Cai, T.A., Damrauer, S., Ahuja, Y., Honerlaw, J. and Costa, L., et al “Association of Interleukin 6 Receptor Variant With Cardiovascular Disease Effects of Interleukin 6 Receptor Blocking Therapy: A Phenome-Wide Association Study”. JAMA cardiology, 2018, 3(9):849-857.
  5. A. Can, R. Rudy, V. Castro, S. Yu, D. Dligach, S. Finan, V. Gainer, N. Shadick, G. Savova, S. Murphy, T. Cai, S. Weiss, and R. Du Association between Aspirin Dose and Subarachnoid Hemorrhage from Saccular Aneurysms: A Case-Control Study, Neurology, 2018, 91(12), pp.e1175-e1181.
  6. McCoy TH, Castro VM, Hart KL, Pellegrini AM, Yu S, Cai T, Perlis RH. Genome-wide Association Study of Dimensional Psychopathology Using Electronic Health Records. Biol Psychiatry, 2018, 83(12), 1005-1011. PMID: 29496196.
  7. McCoy TH, Yu S, Hart KL, Castro VM, Brown HE, Rosenquist JN, Doyle AE, Vuijk PJ, Cai, T* Perlis RH. High Throughput Phenotyping for Dimensional Psychopathology in Electronic Health Records. Biological Psychiatry, 2018, 83(12), pp.997-1004. (: co-senior author)
  8. Qian B, Rudy RF, Cai T, Du R “Cerebral Artery Diameter in Inbred Mice Varies as a Function of Strain.” Front Neuroanat. 2018.
  9. Can A, Castro VM, Dligach D, Finan S, Yu S, Gainer V, Shadick NA, Savova G, Murphy S, Cai T, Weiss ST, Du R. “Antihyperglycemic Agents are Inversely Associated with Intracranial Aneurysm Rupture.” Stroke, 2018, 49(1), pp.34-39.
  10. Hejblum BP, Cui J, Lahey LJ, Cagan A, Sparks JA, Sokolove J, Cai T, Liao KP. “Association between anti-citrullinated fibrinogen antibodies and coronary artery disease in rheumatoid arthritis.” Arthritis Care Res, 2018, 70(7), 1113-1117.
  11. Zhong QY, Gelaye B, Smoller JW, Avillach P, Cai T, Williams MA. “Adverse obstetric outcomes during delivery hospitalizations complicated by suicidal behavior among US pregnant women.” PLoS One, 2018, 13(2): e0192943.
  12. A. Can, V. Castro, S. Yu, D. Dligach, S. Finan, V. Gainer, N. Shadick, G. Savova, S. Murphy, T. Cai, S. Weiss, R. Du. “Antihyperglycemic Agents are Inversely Associated with Intracranial Aneurysm Rupture.” Stroke, 2018, 49(1); 34-39.
  13. A. Can, V. Castro, Y. Ozdemir, S. Dagen, D. Dligach, S. Finan, S. Yu, V. Gainer, N. Shadick, S. Murphy, T. Cai, G. Savova, S. Weiss, R. Du. “Alcohol Consumption and Aneurysmal Subarachnoid Hemorrhage.” Translational Stroke Research, 2017, 9(1): 13-19.
  14. A. Can, V. Castro, Y. Ozdemir, S. Dagen, S. Yu, D. Dligach, S. Finan, V. Gainer, N. Shadick, S. Murphy, T. Cai , G. Savova, R. Dammers, S. Weiss, and R. Du. “Association of Intracranial Aneurysm Rupture with Smoking Duration, Intensity, and Cessation.” Neurology, 2017, 89(13): 1408-1415.
  15. K. Naxerova, J. Reiter, E. Brachtel, J. Lennerz, M. van de Wetering, A. Rowan, T. Cai, H. Clevers, C. Swanton, M. Nowak, S. Elledge, R. K. Jain. “Origins of lymphatic and distant metastases in human colorectal cancer.” Science, 2017, 457(6346): 55-60.
  16. 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; VA Mid-Atlantic Mental Illness Research, Education, and Clinical Center (MIRECC) Workgroup, Ursano RJ, Smoller JW. “Genomewide association studies of suicide attempts in US soldiers.” Am J Med Genet B Neuropsychiatr Genet. 2017;174(8):786-797.
  17. Geva A, Gronsbell JL, Cai T, Cai T, Murphy SN, Lyons JC, Heinz MM, Natter MD, Patibandla N, Bickel J, Mullen MP, Mandl KD; Pediatric Pulmonary Hypertension Network and National Heart, Lung, and Blood Institute Pediatric Pulmonary Vascular Disease Outcomes Bioinformatics Clinical Coordinating Center Investigators. “A Computable Phenotype Improves Cohort Ascertainment in a Pediatric Pulmonary Hypertension Registry.” J Pediatr. 2017;188:224-231.
  18. A. Aghayev, A. Giannopoulos, J. Gronsbell, E. George, T. Cai , M. Steigner, D. Mitsouras, F. Rybicki. “Common First-Pass CT Angiography Findings Associated with Rapid Growth Rate in Abdominal Aorta Aneurysms between 3 and 5 centimeters in Largest Diameter.” American Journal of Roentgenology, 2017, 210(2): 431-437.
  19. M. Ong, M. Mullen, E. Austin, P. Szolovits, M. Natter, A. Geva, T. Cai , S. Kong, K. Mandl. “Learning a Comorbidity-Driven Taxonomy of Pediatric Pulmonary Hypertension.” Circulation Research, 2017, 121(4): 341-353.
  20. M. Koch, J. Furtado, G. Jiang, B. Gray, T. Cai , F. Sacks, A. Tjonneland, K. Overvad, and M. Jensen “Associations of anthropometry and lifestyle factors with HDL subspecies according to apolipoprotein C-III”. Journal of Lipid Research, 2017, 58(6):1196-1203.
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