Tutorial in biostatistics: data-driven subgroup identification and analysis in clinical trials

Estimating optimal treatment regimes via subgroup identification in randomized control trials and observational studies

(2016) Haoda Fu et al.   STATISTICS IN MEDICINE

Regularized outcome weighted subgroup identification for differential treatment effects

(2015) Yaoyao Xu et al.   BIOMETRICS

Using decision lists to construct interpretable and parsimonious treatment regimes

(2015) Yichi Zhang et al.   BIOMETRICS

Tree-based methods for individualized treatment regimes

(2015) E. B. Laber et al.   BIOMETRIKA

General guidance on exploratory and confirmatory subgroup analysis in late-stage clinical trials

(2015) Alex Dmitrienko et al.   Journal of Biopharmaceutical Statistics

Learning Interactions via Hierarchical Group-Lasso Regularization

(2015) Michael Lim et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Inference for Subgroup Analysis With a Structured Logistic-Normal Mixture Model

(2015) Juan Shen et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

A regression tree approach to identifying subgroups with differential treatment effects

(2015) Wei-Yin Loh et al.   STATISTICS IN MEDICINE

Survey Results on Industry Practices and Challenges in Subgroup Analysis in Clinical Trials

(2015) Cristiana Mayer et al.   Statistics in Biopharmaceutical Research

Personalized Medicine: Four Perspectives of Tailored Medicine

(2015) Stephen J. Ruberg et al.   Statistics in Biopharmaceutical Research

$\mathbf{Q}$- and $\mathbf{A}$-Learning Methods for Estimating Optimal Dynamic Treatment Regimes

(2015) Phillip J. Schulte et al.   STATISTICAL SCIENCE

A significance test for the lasso

(2014) Richard Lockhart et al.   ANNALS OF STATISTICS

Identifying optimal biomarker combinations for treatment selection via a robust kernel method

(2014) Ying Huang et al.   BIOMETRICS

Combining biomarkers to optimize patient treatment recommendations

(2014) Chaeryon Kang et al.   BIOMETRICS

Simple subgroup approximations to optimal treatment regimes from randomized clinical trial data

(2014) J. C. Foster et al.   BIOSTATISTICS

A Bayesian Approach to Subgroup Identification

(2014) James O. Berger et al.   Journal of Biopharmaceutical Statistics

Strategies for Identifying Predictive Biomarkers and Subgroups with Enhanced Treatment Effect in Clinical Trials Using SIDES

(2014) Ilya Lipkovich et al.   Journal of Biopharmaceutical Statistics

A Simple Method for Estimating Interactions Between a Treatment and a Large Number of Covariates

(2014) Lu Tian et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

A PRIM approach to predictive-signature development for patient stratification

(2014) Gong Chen et al.   STATISTICS IN MEDICINE

Estimating treatment effect heterogeneity in randomized program evaluation

(2013) Kosuke Imai et al.   Annals of Applied Statistics

A lasso for hierarchical interactions

(2013) Jacob Bien et al.   ANNALS OF STATISTICS

Adaptive enrichment designs for clinical trials

(2013) N. Simon et al.   BIOSTATISTICS

Bayesian two-step Lasso strategy for biomarker selection in personalized medicine development for time-to-event endpoints

(2013) Xuemin Gu et al.   Contemporary Clinical Trials

A framework for the analysis of heterogeneity of treatment effect in patient-centered outcomes research

(2013) Ravi Varadhan et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Effectively Selecting a Target Population for a Future Comparative Study

(2013) Lihui Zhao et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Qualitative interaction trees: a tool to identify qualitative treatment-subgroup interactions

(2013) Elise Dusseldorp et al.   STATISTICS IN MEDICINE

Traditional multiplicity adjustment methods in clinical trials

(2013) Alex Dmitrienko et al.   STATISTICS IN MEDICINE

Recent development on statistical methods for personalized medicine discovery

(2013) Yingqi Zhao et al.   Frontiers of Medicine

A Robust Method for Estimating Optimal Treatment Regimes

(2012) Baqun Zhang et al.   BIOMETRICS

Assessing Treatment-Selection Markers using a Potential Outcomes Framework

(2012) Ying Huang et al.   BIOMETRICS

Estimating Individualized Treatment Rules Using Outcome Weighted Learning

(2012) Yingqi Zhao et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Performance guarantees for individualized treatment rules

(2011) Min Qian et al.   ANNALS OF STATISTICS

Using cross-validation to evaluate predictive accuracy of survival risk classifiers based on high-dimensional data

(2011) R. M. Simon et al.   BRIEFINGS IN BIOINFORMATICS

Bayesian models for subgroup analysis in clinical trials

(2011) Hayley E Jones et al.   Clinical Trials

Variable Selection for Qualitative Interactions in Personalized Medicine While Controlling the Family-Wise Error Rate

(2011) Lacey Gunter et al.   Journal of Biopharmaceutical Statistics

Variable selection for optimal treatment decision

(2011) Wenbin Lu et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Subgroup identification from randomized clinical trial data

(2011) Jared C. Foster et al.   STATISTICS IN MEDICINE

BART: Bayesian additive regression trees

(2010) Hugh A. Chipman et al.   Annals of Applied Statistics

Analysis of randomized comparative clinical trial data for personalized treatment selections

(2010) T. Cai et al.   BIOSTATISTICS

The Cross-Validated Adaptive Signature Design

(2010) B. Freidlin et al.   CLINICAL CANCER RESEARCH

The mean does not mean as much anymore: finding sub-groups for tailored therapeutics

(2010) Stephen J Ruberg et al.   Clinical Trials

Combining an Additive and Tree-Based Regression Model Simultaneously: STIMA

(2010) Elise Dusseldorp et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

p-Values for High-Dimensional Regression

(2010) Nicolai Meinshausen et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Stability selection

(2010) Nicolai Meinshausen et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

A Bayesian subgroup analysis with a zero-enriched Polya Urn scheme

(2010) S. Sivaganesan et al.   STATISTICS IN MEDICINE

A weakly informative default prior distribution for logistic and other regression models

(2009) Andrew Gelman et al.   Annals of Applied Statistics

Reinforcement learning design for cancer clinical trials

(2009) Yufan Zhao et al.   STATISTICS IN MEDICINE

Model-Based Recursive Partitioning

(2008) Achim Zeileis et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

The Bayesian Lasso

(2008) Trevor Park et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION