A Consistent Information Criterion for Support Vector Machines in Diverging Model Spaces.
"A Consistent Information Criterion for Support Vector Machines in Diverging Model Spaces." J Mach Learn Res 17, no. 16 (2016): 1-26.
Project 1.5
A Multi-state Model for Designing Clinical Trials for Testing Overall Survival Allowing for Crossover after Progression.
"A Multi-state Model for Designing Clinical Trials for Testing Overall Survival Allowing for Crossover after Progression." Stat Biopharm Res 8, no. 1 (2016): 12-21.
Active Clinical Trials for Personalized Medicine.
"Active Clinical Trials for Personalized Medicine." J Am Stat Assoc 111, no. 514 (2016): 875-887.
Application of a sequential multiple assignment randomized trial (SMART) design in older patients with chronic lymphocytic leukemia.
"Application of a sequential multiple assignment randomized trial (SMART) design in older patients with chronic lymphocytic leukemia." Ann Oncol 30, no. 4 (2019): 542-550.
Assessing Tuning Parameter Selection Variability in Penalized Regression.
"Assessing Tuning Parameter Selection Variability in Penalized Regression." Technometrics 61, no. 2 (2019): 154-164.
ASYMPTOTICS FOR CHANGE-POINT MODELS UNDER VARYING DEGREES OF MIS-SPECIFICATION.
"ASYMPTOTICS FOR CHANGE-POINT MODELS UNDER VARYING DEGREES OF MIS-SPECIFICATION." Ann Stat 44, no. 1 (2016): 153-182.
Change-Plane Analysis for Subgroup Detection and Sample Size Calculation.
"Change-Plane Analysis for Subgroup Detection and Sample Size Calculation." J Am Stat Assoc 112, no. 518 (2017): 769-778.
Comparison of adaptive treatment strategies based on longitudinal outcomes in sequential multiple assignment randomized trials.
"Comparison of adaptive treatment strategies based on longitudinal outcomes in sequential multiple assignment randomized trials." Stat Med 36, no. 3 (2017): 403-415.
Concordance-Assisted Learning for Estimating Optimal Individualized Treatment Regimes.
"Concordance-Assisted Learning for Estimating Optimal Individualized Treatment Regimes." J R Stat Soc Series B Stat Methodol 79, no. 5 (2017): 1565-1582.
Creating an mHealth App for Colorectal Cancer Screening: User-Centered Design Approach.
"Creating an mHealth App for Colorectal Cancer Screening: User-Centered Design Approach." JMIR Hum Factors 6, no. 2 (2019): e12700.
cSFM: Covariate-adjusted skewed functional model (R).
cSFM: Covariate-adjusted skewed functional model (R).. 1.1 ed., 2014.
DOUBLY ROBUST ESTIMATION OF OPTIMAL TREATMENT REGIMES FOR SURVIVAL DATA-WITH APPLICATION TO AN HIV/AIDS STUDY.
"DOUBLY ROBUST ESTIMATION OF OPTIMAL TREATMENT REGIMES FOR SURVIVAL DATA-WITH APPLICATION TO AN HIV/AIDS STUDY." Ann Appl Stat 11, no. 3 (2017): 1763-1786.
Doubly Robust Learning for Estimating Individualized Treatment with Censored Data.
"Doubly Robust Learning for Estimating Individualized Treatment with Censored Data." Biometrika 102, no. 1 (2015): 151-168.
Doubly-robust estimators of treatment-specific survival distributions in observational studies with stratified sampling.
"Doubly-robust estimators of treatment-specific survival distributions in observational studies with stratified sampling." Biometrics 69, no. 4 (2013): 830-9.
Dynamic treatment regimes, past, present, and future: A conversation with experts.
"Dynamic treatment regimes, past, present, and future: A conversation with experts." Stat Methods Med Res 26, no. 4 (2017): 1605-1610.
Dynamic Treatment Regimes: Statistical Methods for Precision Medicine
Dynamic Treatment Regimes: Statistical Methods for Precision Medicine In Chapman & Hall/CRC Monographs on Statistics and Applied Probability. Boca Raton: Chapman and Hall/CRC, 2019.
Effective dimension reduction for sparse functional data.
"Effective dimension reduction for sparse functional data." Biometrika 102, no. 2 (2015): 421-437.
Efficient augmentation and relaxation learning for individualized treatment rules using observational data.
"Efficient augmentation and relaxation learning for individualized treatment rules using observational data." J Mach Learn Res 20 (2019).
Entropy Learning for Dynamic Treatment Regimes.
"Entropy Learning for Dynamic Treatment Regimes." Stat Sin 29, no. 4 (2019): 1633-1655.
Estimating individualized treatment regimes from crossover designs.
"Estimating individualized treatment regimes from crossover designs." Biometrics 76, no. 3 (2020): 778-788.
Estimating individualized treatment rules for ordinal treatments.
"Estimating individualized treatment rules for ordinal treatments." Biometrics 74, no. 3 (2018): 924-933.
Estimating personalized diagnostic rules depending on individualized characteristics.
"Estimating personalized diagnostic rules depending on individualized characteristics." Stat Med 36, no. 7 (2017): 1099-1117.
Greedy outcome weighted tree learning of optimal personalized treatment rules.
"Greedy outcome weighted tree learning of optimal personalized treatment rules." Biometrics 73, no. 2 (2017): 391-400.
Impact of sex and gonadal steroids on neonatal brain structure.
"Impact of sex and gonadal steroids on neonatal brain structure." Cereb Cortex 24, no. 10 (2014): 2721-31.
Incorporating Patient Preferences into Estimation of Optimal Individualized Treatment Rules.
"Incorporating Patient Preferences into Estimation of Optimal Individualized Treatment Rules." Biometrics 74, no. 1 (2018): 18-26.
Interactive Q-learning for Quantiles.
"Interactive Q-learning for Quantiles." J Am Stat Assoc 112, no. 518 (2017): 638-649.
iqLearn: Interactive Q-Learning in R.
"iqLearn: Interactive Q-Learning in R." J Stat Softw 64, no. 1 (2015).
Learning Optimal Individualized Treatment Rules from Electronic Health Record Data.
"Learning Optimal Individualized Treatment Rules from Electronic Health Record Data." IEEE Int Conf Healthc Inform 2016 (2016): 65-71.
LOCAL INDEPENDENCE FEATURE SCREENING FOR NONPARAMETRIC AND SEMIPARAMETRIC MODELS BY MARGINAL EMPIRICAL LIKELIHOOD.
"LOCAL INDEPENDENCE FEATURE SCREENING FOR NONPARAMETRIC AND SEMIPARAMETRIC MODELS BY MARGINAL EMPIRICAL LIKELIHOOD." Ann Stat 44, no. 2 (2016): 515-539.
Modeling survival distribution as a function of time to treatment discontinuation: A dynamic treatment regime approach.
"Modeling survival distribution as a function of time to treatment discontinuation: A dynamic treatment regime approach." Biometrics 74, no. 3 (2018): 900-909.
Modelling and estimation for optimal treatment decision with interference.
"Modelling and estimation for optimal treatment decision with interference." Stat (Int Stat Inst) 8, no. 1 (2019).
Multi-Objective Markov Decision Processes for Data-Driven Decision Support.
"Multi-Objective Markov Decision Processes for Data-Driven Decision Support." J Mach Learn Res 17 (2016).
On Estimation of Optimal Treatment Regimes For Maximizing -Year Survival Probability.
"On Estimation of Optimal Treatment Regimes For Maximizing -Year Survival Probability." J R Stat Soc Series B Stat Methodol 79, no. 4 (2017): 1165-1185.
On Quantile Regression in Reproducing Kernel Hilbert Spaces with Data Sparsity Constraint.
"On Quantile Regression in Reproducing Kernel Hilbert Spaces with Data Sparsity Constraint." J Mach Learn Res 17, no. 40 (2016): 1-45.
On Sparse representation for Optimal Individualized Treatment Selection with Penalized Outcome Weighted Learning.
"On Sparse representation for Optimal Individualized Treatment Selection with Penalized Outcome Weighted Learning." Stat 4, no. 1 (2015): 59-68.
ON TESTING CONDITIONAL QUALITATIVE TREATMENT EFFECTS.
"ON TESTING CONDITIONAL QUALITATIVE TREATMENT EFFECTS." Ann Stat 47, no. 4 (2019): 2348-2377.
Optimal dynamic treatment regimes
Optimal dynamic treatment regimes In Wiley Statsref. Optimal dynamic treatment regimes., 2016.
Optimal treatment regimes for survival endpoints using a locally-efficient doubly-robust estimator from a classification perspective.
"Optimal treatment regimes for survival endpoints using a locally-efficient doubly-robust estimator from a classification perspective." Lifetime Data Anal 23, no. 4 (2017): 585-604.
Optimizing delivery of a behavioral pain intervention in cancer patients using a sequential multiple assignment randomized trial SMART.
"Optimizing delivery of a behavioral pain intervention in cancer patients using a sequential multiple assignment randomized trial SMART." Contemp Clin Trials 57 (2017): 51-57.
Personalized Dose Finding Using Outcome Weighted Learning.
"Personalized Dose Finding Using Outcome Weighted Learning." J Am Stat Assoc 111, no. 516 (2016): 1509-1521.
Personalized Evaluation of Biomarker Value: A Cost-Benefit Perspective.
"Personalized Evaluation of Biomarker Value: A Cost-Benefit Perspective." Stat Biosci 8, no. 1 (2016): 43-65.
Precision Medicine.
"Precision Medicine." Annu Rev Stat Appl 6 (2019): 263-286.
Predicting Alzheimer's Disease Using Combined Imaging-Whole Genome SNP Data.
"Predicting Alzheimer's Disease Using Combined Imaging-Whole Genome SNP Data." J Alzheimers Dis 46, no. 3 (2015): 695-702.
Probability-enhanced sufficient dimension reduction for binary classification.
"Probability-enhanced sufficient dimension reduction for binary classification." Biometrics 70, no. 3 (2014): 546-55.
Provider-based research networks and diffusion of surgical technologies among patients with early-stage kidney cancer.
"Provider-based research networks and diffusion of surgical technologies among patients with early-stage kidney cancer." Cancer 121, no. 6 (2015): 836-43.
Quantifying center of pressure variability in chondrodystrophoid dogs.
"Quantifying center of pressure variability in chondrodystrophoid dogs." Vet J 226 (2017): 26-31.
Racial Differences in Diffusion of Intensity-Modulated Radiation Therapy for Localized Prostate Cancer.
"Racial Differences in Diffusion of Intensity-Modulated Radiation Therapy for Localized Prostate Cancer." Am J Mens Health 10, no. 5 (2016): 399-407.
Reinforced Angle-based Multicategory Support Vector Machines.
"Reinforced Angle-based Multicategory Support Vector Machines." J Comput Graph Stat 25, no. 3 (2016): 806-825.
Reinforcement Learning Trees.
"Reinforcement Learning Trees." J Am Stat Assoc 110, no. 512 (2015): 1770-1784.
Residual Weighted Learning for Estimating Individualized Treatment Rules.
"Residual Weighted Learning for Estimating Individualized Treatment Rules." J Am Stat Assoc 112, no. 517 (2017): 169-187.
Robust learning for optimal treatment decision with NP-dimensionality.
"Robust learning for optimal treatment decision with NP-dimensionality." Electron J Stat 10 (2016): 2894-2921.
Sequential advantage selection for optimal treatment regime.
"Sequential advantage selection for optimal treatment regime." Ann Appl Stat 10, no. 1 (2016): 32-53.
skda: Sparse (multicategory) kernel discriminant analysis (R).
skda: Sparse (multicategory) kernel discriminant analysis (R).. 0.1 ed., 2013.
Statistical Significance and the Dichotomization of Evidence: The Relevance of the for Statisticians.
"Statistical Significance and the Dichotomization of Evidence: The Relevance of the for Statisticians." J Am Stat Assoc 112, no. 519 (2017): 902-904.
Subgroup detection and sample size calculation with proportional hazards regression for survival data.
"Subgroup detection and sample size calculation with proportional hazards regression for survival data." Stat Med 36, no. 29 (2017): 4646-4659.
Support Vector Hazards Machine: A Counting Process Framework for Learning Risk Scores for Censored Outcomes.
"Support Vector Hazards Machine: A Counting Process Framework for Learning Risk Scores for Censored Outcomes." J Mach Learn Res 17 (2016).
Survival Benefit of Lung Transplantation in the Modern Era of Lung Allocation.
"Survival Benefit of Lung Transplantation in the Modern Era of Lung Allocation." Ann Am Thorac Soc 14, no. 2 (2017): 172-181.
Ten Simple Rules for Effective Statistical Practice.
"Ten Simple Rules for Effective Statistical Practice." PLoS Comput Biol 12, no. 6 (2016): e1004961.
Ten-year experience with extended criteria cardiac transplantation.
"Ten-year experience with extended criteria cardiac transplantation." Circ Heart Fail 6, no. 6 (2013): 1230-8.
Time course and prognostic value of serum GFAP, pNFH, and S100β concentrations in dogs with complete spinal cord injury because of intervertebral disc extrusion.
"Time course and prognostic value of serum GFAP, pNFH, and S100β concentrations in dogs with complete spinal cord injury because of intervertebral disc extrusion." J Vet Intern Med 33, no. 2 (2019): 726-734.
Tree based weighted learning for estimating individualized treatment rules with censored data.
"Tree based weighted learning for estimating individualized treatment rules with censored data." Electron J Stat 11, no. 2 (2017): 3927-3953.
Tree-based methods for individualized treatment regimes.
"Tree-based methods for individualized treatment regimes." Biometrika 102, no. 3 (2015): 501-514.
Two-Dimensional Solution Surface for Weighted Support Vector Machines.
"Two-Dimensional Solution Surface for Weighted Support Vector Machines." J Comput Graph Stat 23, no. 2 (2014): 383-402.
