Electronic Health Records and Precision Medicine: Enabling Large-Scale Discoveries Using Phenome-Wide Approaches., 2016.
Estimating treatment effects with treatment switching via semi-competing risks models: An application to a colorectal cancer study., 2011.
Evaluation of Viable Dynamic Treatment Regimes in a Sequentially Randomized Trial of Advanced Prostate Cancer., 2014.
Faster algorithm to control the Benjamini-Hochberg false discovery rate and its application for analysis of huge genomic data.., 2014.
Immune-based therapies., 2016.
Interpretable treatment regimes., 2014.
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.
Network Meta-analysis for Ordinal Outcomes: Applications in Comparing Crohn's Disease Treatments., 2016.
Optimal, Two Stage, Adaptive Enrichment Designs for Randomized Trials, using Sparse Linear Programming., 2014.
Pharmacogenomic interrogation of colorectal cancer using next-generation whole exome sequencing., 2011.
Prediction of the Best Treatment Assignment Using Random Forest with Regression in the Nodes., 2012.
Safety decision-making with multiple sources and different types of studies—recent examples from FDA Advisory Committees., 2011.
Subgroup Detection and Sample Size Calculation with Proportional Hazards Regression for Survival Data., 2016.
Reinforcement learning trees In The University of North Carolina at Chapel Hill Department of Biostatistics Technical Report Series. UNC at Chapel Hill. Chapel Hill: The University of North Carolina, 2012.
BayesCTDesign: Two Arm Bayesian Clinical Trial Design with and Without Historical Control Data (R)., 2018.
BetaBinPredProb: Compute predictive probabilities in Bayesian design for Phase IIA trials in a beta-binomial case (SAS).., 2016.
binDesign: Bayesian sample size for non-inferiority randomized trials with binary data (SAS).., 2016.
binDesignPP: Bayesian sample size for non-inferiority randomized trials with binary data with power prior (SAS).., 2016.
CODEX2: Full-spectrum copy number variation detection by high-throughput DNA sequencing. (R)., 2018.
CONCUR: Kernel-based association test for copy number variation (CNV) aggregate analysis (R)., 2020.
CRM2DIM: Dual-Agent Bayesian Continual Reassessment Method (SAS). 1.0 ed., 2019.
cSFM: Covariate-adjusted skewed functional model (R).. 1.1 ed., 2014.
CTD Systems (Java)., 2017.
doublyRobust: Doubly robust estimation for monotonely coarsened data in longitudinal studies with dropout and/or incomplete data (R).. 2nd ed., 2013.
DOVE: Durability of Vaccine Efficacy. v1.2 ed., 2021.
DTRlearn: Learning Algorithms for Dynamic Treatment Regimes (R). 1.3 ed., 2018.
dtrSurv: Dynamic Treatment Regimes for Survival Analysis (R). 1.1 ed., 2020.
DynTxRegime: A comprehensive package for analysis of dynamic treatment regimes (R).. v3.1 ed., 2017.
fastJT: Efficient Jonckheere-Terpstra Test Statistics for Robust Machine Learning and Genome-Wide Association Studies (R). 1.0.4 ed., 2017.
Galax (C++)., 2016.
GGMridge: Gaussian graphical models using ridge penalty followed by thresholding and reestimation (R).. 1.0 ed., 2016.
groupedSurv: Efficient Estimation of Grouped Survival Models Using the Exact Likelihood Function (R). 1.0.0 ed., 2018.
Haplo.CasGLM: Haplotype specific simultaneous factor selection and collapsing levels in GLM (R).. 3rd ed., 2013.
IntCens: Nonparametric maximum likelihood estimation for a broad class of semiparametric regression models with general interval-censored data (R).., 2016.
intcensROC: Fast Spline Function Based Constrained Maximum Likelihood Estimator for AUC Estimation of Interval Censored Survival Data (R). 0.1.1 ed., 2018.
JAGUAR: Joint analysis of genotype and group-specific variability using a novel score test approach to map expression quantitative trait loci (eQTL) (R). 3.0.1 ed., 2016.
JMDesign: Statistical design for joint models of longitudinal and survival data (R).. v1.1 ed., 2012.
jtGWAS: Efficient Jonckheere-Terpstra test statistics (R).. 1.0 ed., 2016.
lclGWAS: Efficient estimation of discrete-time multivariate frailty model using exact likelihood function for grouped survival data (R).., 2016.
logi: Logistic regression using forward selection (R).. 2.0 ed., 2013.
Macros for missing data (SAS).., 2014.