lu tian

28 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0002-5893-0169

Department of Biomedical Data Science, Stanford University

Publications

• Bootstrapping the cross-validation estimate — The Annals of Applied Statistics 2025
• Efficient evaluation of prediction rules in semi-supervised settings under stratified sampling — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2022
• Bounds on the conditional and average treatment effect with unobserved confounding factors — The Annals of Statistics 2022
• IFAA: Robust Association Identification and Inference for Absolute Abundance in Microbiome Analyses — Journal of the American Statistical Association 2021
• Estimation and Validation of Ratio-based Conditional Average Treatment Effects Using Observational Data — Journal of the American Statistical Association 2021
• Model-free approach to quantifying the proportion of treatment effect explained by a surrogate marker — Biometrika 2020
• Clonality: Point estimation — The Annals of Applied Statistics 2019
• Robust Alternatives to ANCOVA for Estimating the Treatment Effect via a Randomized Comparative Study — Journal of the American Statistical Association 2019
• Optimal stratification in outcome prediction using baseline information — Biometrika 2016
• Comment — Journal of the American Statistical Association 2016
• A Simple Method for Estimating Interactions Between a Treatment and a Large Number of Covariates — Journal of the American Statistical Association 2014
• Meta-Analysis With Fixed, Unknown, Study-Specific Parameters — Journal of the American Statistical Association 2014
• Landmark Estimation of Survival and Treatment Effect in a Randomized Clinical Trial — Journal of the American Statistical Association 2014
• Effectively Selecting a Target Population for a Future Comparative Study — Journal of the American Statistical Association 2013
• A Perturbation Method for Inference on Regularized Regression Estimates — Journal of the American Statistical Association 2011
• Nonparametric inference procedure for percentiles of the random effects distribution in meta-analysis — The Annals of Applied Statistics 2010
• Calibrating parametric subject-specific risk estimation — Biometrika 2010
• Predicting future responses based on possibly mis-specified working models — Biometrika 2008
• Evaluating Prediction Rules fort-Year Survivors With Censored Regression Models — Journal of the American Statistical Association 2007
• Implementation of Estimating Function-Based Inference Procedures With Markov Chain Monte Carlo Samplers — Journal of the American Statistical Association 2007
• Rejoinder — Journal of the American Statistical Association 2007 (name-matched, not ORCID-linked)
• Model evaluation based on the sampling distribution of estimated absolute prediction error — Biometrika 2007
• On the accelerated failure time model for current status and interval censored data — Biometrika 2006
• The optimal confidence region for a random parameter — Biometrika 2005
• Semiparametric Box–Cox power transformation models for censored survival observations — Biometrika 2005
• On the Cox Model With Time-Varying Regression Coefficients — Journal of the American Statistical Association 2005
• Estimation for the Box-Cox Transformation Model Without Assuming Parametric Error Distribution — Journal of the American Statistical Association 2001
• Dynamic Decision Making With Individualized Variable Selection — Journal of the American Statistical Association