Browsing by Author "Marie Davidian, Member"
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- Advanced Statistical Causal Inference and Individualized Treatment Regime Learning: Data Integration, Inference, and Matching.(2024-08-12) Cheng, Yuwen; Shu Yang, Chair; Luo Xiao, Member; Wenbin Lu, Member; Billy Williams, Graduate School Representative; Donald Martin, Member; Marie Davidian, Member
- Advances in Causal Decision Making: From Off-Policy Evaluation to Online Learning.(2025-07-08) Xu, Yang; Wenbin Lu, Co-Chair; Rui Song, Co-Chair; Marie Davidian, Member; Shu Yang, Member; Roger Callanan, Graduate School Representative
- Advances in Policy Evaluation and Learning: Targeting, Truncation by Death, and One-sided Feedback.(2024-08-09) Chu, Jianing; Wenbin Lu, Co-Chair; Shu Yang, Co-Chair; Marie Davidian, Member; Daowen Zhang, Member; Onkar Malgonde, Graduate School Representative
- Advances in Statistical Inference and Policy Optimization for Reinforcement Learning.(2022-02-11) Wan, Runzhe; Rui Song, Chair; Noboru Matsuda, Graduate School Representative; Wenbin Lu, Member; Marie Davidian, Member; Hongtu Zhu, Inter-Institutional
- Analysis of Irregularly Spaced Longitudinal Market Transaction Data.(2024-04-04) Hong, Taekwon; Shu Yang, Co-Chair; Wenbin Lu, Co-Chair; Marie Davidian, Member; Luo Xiao, Member; Reha Uzsoy, Graduate School Representative
- Complete Least Squares: A New Variable Screening and Selection Method.(2011-12-07) Reyes, Eric; Dennis Boos, Co-Chair; Leonard Stefanski, Co-Chair; Marie Davidian, Member; Brian Reich, Member; Hosni Hassan, Graduate School Representative
- Contributions to Bayesian Dimension Reduction.(2020-12-02) Mehrotra, Suchit; Arnab Maity, Chair; Marie Davidian, Member; Alen Alexanderian, Member; Subhashis Ghoshal, Member
- Doubly Robust Estimators of Causal Effects in Observational Studies: Theory and Practice.(2023-06-16) Zhang, Yunshu; Shu Yang, Chair; Wensong Yu, Graduate School Representative; Wenbin Lu, Member; Luo Xiao, Member; Marie Davidian, Member
- Doubly-robust Estimators in Observational Studies with and without a Stratified Sub-sample.(2014-03-14) Bai, Xiaofei; Anastasios Tsiatis, Chair; Negash Medhin, Graduate School Representative; Marie Davidian, Member; Wenbin Lu, Member; Daowen Zhang, Member
- Estimating optimal control strategies for large scale spatio-temporal decision problems.(2017-08-10) Meyer, Nicholas James; Eric Laber, Chair; Brian Reich, Member; Marie Davidian, Member; Anastasios Tsiatis, Member; Jamian Pacifici, Graduate School Representative
- Estimation Methods for Optimal Treatment Decisions with Electronic Medical Record Data.(2020-07-30) Gunn, Kevin Patrick; Wenbin Lu, Co-Chair; Rui Song, Co-Chair; Marie Davidian, Member; Kevin Flores, Member
- Estimation of Regression Coefficients in the Competing Risks Model with Missing Cause of Failure(2002-03-13) Lu, Kaifeng; Anastasios A. Tsiatis, Chair; Marie Davidian, Member; Sujit Ghosh, Member; John F. Monahan, MemberIn many clinical studies, researchers are interested in theeffects of a set of prognostic factors on the hazard of death from a specific disease even though patients may die from other competing causes. Often the time to relapse is right-censored for some individuals due to incomplete follow-up. In some circumstances, it may also be the case that patients are known to die but the cause of death is unavailable. When cause of failure is missing, excluding the missing observations from the analysis or treating them as censored may yield biased estimates and erroneous inferences. Under the assumption that cause of failure is missing at random, we propose three approaches to estimate the regression coefficients. The imputation approach isstraightforward to implement and allows for the inclusion ofauxiliary covariates, which are not of inherent interest formodeling the cause-specific hazard of interest but may be related to the missing data mechanism. The partial likelihood approach we propose is semiparametric efficient and allows for more general relationships between the two cause-specific hazards and more general missingness mechanism than the partial likelihood approach used by others. The inverse probability weighting approach isdoubly robust and highly efficient and also allows for theincorporation of auxiliary covariates. Using martingale theory and semiparametric theory for missing data problems, the asymptotic properties of these estimators are developed and the semiparametric efficiency of relevant estimators is proved. Simulation studies are carried out to assess the performance of these estimators in finite samples. The approaches are also illustrated using the data from a clinical trial in elderly women with stage II breast cancer. The inverse probability weighted doubly robust semiparametric estimator is recommended for itssimplicity, flexibility, robustness and high efficiency.
- Expectation-Maximization (EM) Based Functional Data Methods for Longitudinal Data and Survival Data.(2025-05-06) Wang, Wenyi; Luo Xiao, Chair; Marie Davidian, Member; Sujit Ghosh, Member; Wenbin Lu, Member; Jaroslaw Harezlak, External; Susan Barcinas, Graduate School Representative
- Global Optimization and Time Series Forecasting.(2024-04-09) Zhang, Xinyu; Sujit Ghosh, Chair; Marie Davidian, Member; Jonathan Williams, Member; Mehmet Caner, Member
- Hypothesis Testing for Functional and Repeated Measurements Data.(2019-04-26) Chen, Stephanie Tienshaw; Ana-Maria Staicu, Co-Chair; Luo Xiao, Co-Chair; Joan Eisemann, Graduate School Representative; Marie Davidian, Member; Arnab Maity, Member
- Impact of the Choice of Hyper-parameters on Statistical Inference using SGD Estimates and Optimal Experimental Designs for Precision Medicine with Multi-component Treatments.(2022-12-15) Saanchi, Yeng; Leonard Stefanski, Co-Chair; Eric Laber, Co-Chair; Marie Davidian, Member; Dennis Boos, Member; Srinath Ekkad, Graduate School Representative
- Improvements on Sequentially Weighted m-Factors-at-a-Time Experiments.(2025-03-25) Winpisinger, Rachel Hannah; Jonathan Stallrich, Chair; Marie Davidian, Member; Srijan Sengupta, Member; Bill Rand, Member
- Interactive Modeling Techniques for Non-smooth Functionals in Dynamic Treatment Regimes.(2014-04-28) Linn, Kristin Ashley; Leonard Stefanski, Co-Chair; Eric Laber, Co-Chair; Marie Davidian, Member; Anastasios Tsiatis, Member; Jonathan Ocko, Graduate School Representative
- Joint Modeling of Primary Binary Outcome and Longitudinal Covariates Measured at Informative Observation Times.(2011-11-01) Yan, Song; Daowen Zhang, Chair; Wenbin Lu, Co-Chair; Marie Davidian, Member; Anastasios Tsiatis, Member; Charlotte Farin, Graduate School Representative
- Longitudinal Functional Data Analysis with Biomedical Applications.(2016-12-02) Park, So Young; Ana-Maria Staicu, Chair; Marie Davidian, Member; Soumendra Lahiri, Member; Anne McLaughlin, Graduate School Representative; Luo Xiao, Member
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