Research Interest

Survival Analysis and Semiparametric Modeling
  1. Forster AM, Tian L, and Wei LJ. Estimation for the Box-Cox Transformation Model Without Assuming Parametric Error Distribution. Journal of the American Statistical Association (JASA), 2001; 96: 1097-1101.
  2. Tian L, Zucker D, and Wei LJ. On the Proportional Hazards Model with Time-varying Regression Coefficients. Journal of the American Statistical Association (JASA), 2004, 100:172-183.
  3. Cai T, Tian L, and Wei LJ. Semiparametric Box-Cox Power Transformation Models for Censored Survival Observations, Biometrika, 2005, 92: 619-632.
  4. Park Y, Tian L, and Wei LJ. One- and two-sample Nonparametric Inference Procedures in the Presence of a Mixture of Independent and Dependent Censoring. Biostatistics, 2006; 7: 268-285.
  5. Tian L and Cai T. On Accelerated Failure Time Model for Current Status and Interval Censored Data, Biometrika, 2006; 93: 329-242.
  6. Tian L and Lagakos S. Analysis of a Partially Observed Binary Covariate Process and a Censored Failure Time in the Presence of Truncation and Competing Risks, Biometrics, 2006; 62: 821-828.
  7. Tian L and Huang J. Two-part Model for Analyzing Medical Cost Data in the Presence of Right Censoring, 2007, Statistics in Medicine, 23:4273-4292.
  8. Tian L and Wei LJ, Discussion on “Maximum likelihood estimation in semiparametric regression models with censored data”, JRSSB, 2007, 69:557.
  9. Tian L, Cai T, Zhao L and Wei LJ, On the Covariate-adjusted Estimation for an Overall Treatment Difference with Data from a Randomized Comparative Clinical Trial. Biostatistics, 2011, in press.

Resampling Method

  1. Goldwasser MA, Tian L, and Wei LJ. Statistical Inference for Infinite Dimensional Parameters via Asymptotically Pivotal Estimating Functions. Biometrika, 2004; 91: 81-94.
  2. Tian L, Liu J, Zhao M, and Wei LJ. Statistical Inferences Based on Non-smooth Estimating Functions. Biometrika, 2004, 91:943-954.
  3. Tian L, Liu J, and Wei LJ. Implementation of Estimating Function Based Statistical Inferences via MCMC Samplers (with Discussion), JASA, 102:881-900, 2007

Meta Analysis

  1. Tian L, Cai T, Pfeffer M, Piankov N, Cremieux P and Wei LJ. Exact and Efficient Inference Procedure for Meta-analysis And Its Application to the Analysis of Independent 2 x 2 Tables With All Available Data But Without Artificial Continuity Correction. Biostatistics, 10:275-281, 2009
  2. Wang R, Tian L, Cai T and Wei LJ, Nonparametric Inference Procedure for Percentiles of the Random Effect Distribution in Meta Analysis. Annals of Applied Statistics, 4:520-532, 2010

High Dimensional Data Analysis

  1. Park PJ and Tian L. Linking Gene Expression Data with Patient Survival Time Using Partial Least Squares. Bioinformatics, 2002; 18: 120S-127S.
  2. Xu X, Tian L, and Wei LJ. Combining Tests for Linkage or Association across Multiple Phenotypic Traits. Biostatistics, 2003:4: 223-229.
  3. Zhong S, Tian L, Li C, Storch FK, and Wong WH. Comparative Analysis of Gene Sets in the Gene Ontology Space under the Multiple Hypothesis Testing Framework. Proc. IEEE Comp Systems Bioinformatics. 2004, 425-435.
  4. Tian L, Greenberg S, Kong SW, Altschuler J, Kohane IS, and Park P. Discovering Statistically Significant Pathways in Expression Profiling Studies, Proceedings of National Academy of Sciences (PNAS), 2005, 102: 13544-13549.
  5. Cai T, Huang J, and Tian L. Regularized Estimation for the Accelerated Failure Time Model, Biometrics, 65:394-404, 2009.
  6. Zhao XG, Yi L, Dai W, and Tian L, AUC based Biomarker Ensemble with an Application on Gene Scores Predicting Low Bone Mineral Density, Bioinformatics, 2011, 27(21): 3050-3055.
  7. Minnier J., Tian L and Cai T. A Perturbation Method for Inference on Regularized Regression Estimates. JASA, 2011, In press.

Statistical Methods for Personalized Medicine

  1. Tian L, Wang W, and Wei LJ. Estimating Predictors for Long- or Short-term Survivors. Biometrics, 2003; 59: 1008-1015.
  2. Uno H, Tian L, and Wei LJ. The Optimal Confidence Region for a Random Parameter, Biometrika, 2005, 92: 957-964.
  3. Uno H, Cai T, Tian L, and Wei LJ. Evaluating Prediction Rules for t-year Survivors with Censored Regression Models, JASA, 2007, 102:527-537.
  4. Tian L, Cai T, Goetghebeur E, and Wei LJ. Model Evaluation Based on the Sampling Distribution of Estimated Absolute Prediction Error, Biometrika, 2007; 94: 297-311.
  5. Cai T, Tian L, Solomon S, and Wei LJ. Predicting Future Responses based on Possibly Misspecified Working Models, Biometrika, 95: 75-92, 2008.
  6. Tian L, Cai T, and Wei LJ. Identifying Subjects Who Benefit from Additional Information for Better Prediction of the Outcome Variables, Biometrics, 2008: 10.1111/j.1541-0420.2008.01125.x
  7. Cai T, Tian L, Uno H, Solomon S, and Wei LJ, Calibrating Parametric Subject-Specific Risk Estimation. Biometrika, 2010 97(2):389-404.
  8. Tian L and Tibshirani R, Adaptive Index Model for Marker-based Risk Stratification, Biostatistics 2011, 12(1): 68-86.
  9. Tian L, Cai T, R. Wang and L.J. Wei, The Highest Confidence Density Region and its Usage for Joint Inferences About Constrained Parameters, Biometrics, 2011 67(2):604-610.
  10. Li Y, Tian L and Wei LJ, Estimating Subject-Specific Dependent Competing Risk Profile with Censored Event Time Observations, Biometrics, 2011 67(2):427-35.
  11. Cai T and Tian L, Analysis of Randomized Comparative Clinical Trial Data for Personalized Treatment Selections. Biostatistics, 12(2):270-282.
  12. Uno H, Cai T, Tian L and Wei LJ, Graphical Procedures for Evaluating Overall and Subject-specfic Incremental Values from New Predictors with Censored Event Time Data. Biometrics, 2011, in press.