Publications

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Presentation
Zeng, Donglin. Estimating treatment effects with treatment switching via semi-competing risks models: An application to a colorectal cancer study., 2011.
Zhao, Yingqi. Estimation of Optimal Dynamic Treatment Regimes., 2014.
Wang, L. Evaluation of Viable Dynamic Treatment Regimes in a Sequentially Randomized Trial of Advanced Prostate Cancer., 2014.
Madar, V. Faster algorithm to control the Benjamini-Hochberg false discovery rate and its application for analysis of huge genomic data.., 2014.
Li, Zhiguo. Fitting Cox models with doubly censored data using spline-based marginal likelihood., 2011.
Tzeng, Jung-Ying. A gene-trait similarity regression method for gene-level pharmacogenetics analysis., 2011.
Chi, Eric. Getting High-throughput Arrays in Order with Convex Biclustering., 2016.
Almirall, D, and Susan A. Murphy. Getting SMART about developing individualized sequences of health interventions., 2012.
Gou, J, and AC Tamhane. Hochberg Multiple Test Procedure Under Negative Dependence., 2014.
Nair, Smita. Immune-based therapies., 2016.
Sarkar, S. Improving Holm's procedure using pairwise dependencies., 2014.
Benjamini, Y. In Hochberg’s tradition: Selective Inference for Clinical Trials., 2014.
Wong, Kin Yau. Integration of Multiple High-dimensional Genomic Data Types for Survival Prediction., 2016.
Zhang, Yichi. Interpretable treatment regimes., 2014.
Linn, Kristin A.. IQ-Learning., 2012.
Shortreed, Susan M.. Leveraging Electronic Medical Records to Better Target Suicide Prevention., 2016.
Zhao, Luping. Measures of Clinical Benefit in Immuno-Oncology Studies., 2016.
Murphy, Susan A.. Micro-Randomized Trials & mHealth., 2014.
Xie, Jichun. Multiple Testing of General Dependence by Quantile-Based Contingency Tables with an Application in Identifying Gene Co-expression Network Change Associated with Cancer Survival., 2016.
Ibrahim, Joseph G.. Network Meta-analysis for Ordinal Outcomes: Applications in Comparing Crohn's Disease Treatments., 2016.
Ivanova, Anastasia. Oncology Phase II trials with ordinal outcome., 2012.
Rosenblum, M. Optimal, Two Stage, Adaptive Enrichment Designs for Randomized Trials, using Sparse Linear Programming., 2014.
Fine, Jason P.. An overview of competing risks data, with applications in clinical trials., 2011.
Heyse, Joseph F.. An Overview of Multiple Testing Procedures for Categorical Data., 2014.
Song, Rui. Penalized Q-Learning for Dynamic Treatment Regimes., 2012.
Auman, Todd. Pharmacogenomic interrogation of colorectal cancer using next-generation whole exome sequencing., 2011.
Bobashev, G. Prediction of the Best Treatment Assignment Using Random Forest with Regression in the Nodes., 2012.
Davidian, Marie. A robust method for estimating optimal treatment regimes., 2011.
Levenson, M. Safety decision-making with multiple sources and different types of studies—recent examples from FDA Advisory Committees., 2011.
Laber, Eric B.. Sizing a trial for estimation of an optimal treatment regime., 2014.
Thall, PF. SMART Design, Conduct, and Analysis in Oncology., 2014.
Kang, Suhyun. Subgroup Detection and Sample Size Calculation with Proportional Hazards Regression for Survival Data., 2016.
Almirall, D. Tutorial: Getting SMART about Dynamic Treatment Regimes: A Conceptual Introduction., 2014.
Bretz, F. Tutorial: Introduction to Multiplicity in Clinical Trials., 2014.
Hung, H M. James. Utilities and challenges of adaptive designs in drug development., 2011.

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