Behavioral cancer pain intervention dosing: results of a Sequential Multiple Assignment Randomized Trial - Somers, Tamara J. J.; Winger, Joseph G. G.; Fisher, Hannah M. M.; Hyland, Kelly A. A.; Davidian, Marie; Laber, Eric B. B.; Miller, Shannon N. N.; Kelleher, Sarah A. A.; Vilardaga, Jennifer C. Plumb C.; Majestic, Catherine; Shelby, Rebecca A. A.; Reed, Shelby D. D.; et al. (PAIN, 2023)
Keywords: Behavioral pain intervention; Coping skills; SMART design; Breast cancer; Pain

Cost-Effectiveness Analysis Evaluating Delivery Strategies for Pain Coping Skills Training in Women With Breast Cancer - Li, Yanhong; Reed, Shelby D.; Winger, Joseph G.; Hyland, Kelly A.; Fisher, Hannah M.; Kelleher, Sarah A.; Miller, Shannon N.; Davidian, Marie; Laber, Eric B.; Keefe, Francis J.; Somers, Tamara J. (JOURNAL OF PAIN, 2023)
Keywords: Cost-effectiveness; pain coping skills training; cancer pain; cognitive-behavioral therapy; behavioral pain management

Deep Spatial Q-Learning for Infectious Disease Control - Liu, Zhishuai; Clifton, Jesse; Laber, Eric B.; Drake, John; Fang, Ethan X. (JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS, 2023)
Keywords: Infectious diseases; Reinforcement learning; Graph neural networks

Interim monitoring of sequential multiple assignment randomized trials using partial information - Manschot, Cole; Laber, Eric; Davidian, Marie (BIOMETRICS, 2023)
Keywords: augmented inverse probability weighting; clinical trials; double robustness; dynamic treatment regimes; early stopping; group sequential analysis

Effectiveness of the SMART Sex Ed program among 13-18 year old English and Spanish speaking adolescent men who have sex with men - Mustanski, Brian; Saber, Rana; Macapagal, Kathryn; Matson, Maggie; Laber, Eric; Rodrgiuez-Diaz, Carlos; Moran, Kevin O.; Carrion, Andres; Moskowitz, David A.; Newcomb, Michael E. (AIDS AND BEHAVIOR, 2022)
Keywords: Adolescent; MSM; HIV prevention; sexual health education; online

Telehealth and racial disparities in colorectal cancer screening: A pilot study of how virtual clinician characteristics influence screening intentions - Cooks, Eric J.; Duke, Kyle A.; Neil, Jordan M.; Vilaro, Melissa J.; Wilson-Howard, Danyell; Modave, Francois; George, Thomas J.; Odedina, Folakemi T.; Lok, Benjamin C.; Carek, Peter; Laber, Eric B.; Davidian, Marie; et al. (JOURNAL OF CLINICAL AND TRANSLATIONAL SCIENCE, 2022)
Keywords: Cancer health disparities; colorectal cancer screening; telehealth; virtual human technology; precision prevention

A spatiotemporal recommendation engine for malaria control - Guan, Qian; Reich, Brian J.; Laber, Eric B. (BIOSTATISTICS, 2021)
Keywords: Infectious disease; Malaria; Resource allocation; Sequential optimization; Satiotemporal model

Introduction to the Theory and Methods Special Issue on Precision Medicine and Individualized Policy Discovery - Kosorok, Michael R.; Laber, Eric B.; Small, Dylan S.; Zeng, Donglin (JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2021)
Keywords: Actionable artificial intelligence; Causal inference; Machine learning

Novel approach to modeling high-frequency activity data to assess therapeutic effects of analgesics in chronic pain conditions - Xu, Zekun; Laber, Eric; Staicu, Ana-Maria; Lascelles, B. Duncan X. (SCIENTIFIC REPORTS, 2021)

Receiver operating characteristic curves and confidence bands for support vector machines - Luckett, Daniel J.; Laber, Eric B.; El-Kamary, Samer S.; Fan, Cheng; Jhaveri, Ravi; Perou, Charles M.; Shebl, Fatma M.; Kosorok, Michael R. (BIOMETRICS, 2021)
Keywords: classification; diagnostic medicine; machine learning; outcome weighted learning

Reinforced Risk Prediction With Budget Constraint Using Irregularly Measured Data From Electronic Health Records - Pan, Yinghao; Laber, Eric B.; Smith, Maureen A.; Zhao, Ying-Qi (JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2021)
Keywords: Classification with reject option; Cost-effective; Electronic health records; Functional principal component analysis; Reinforcement learning

Variance Decompositions for Extensive-Form Games - Cloud, Alex; Laber, Eric B. (2021 IEEE CONFERENCE ON GAMES (COG), 2021)
Keywords: luck and skill in games; descriptive statistics; variance decomposition

Ascertaining properties of weighting in the estimation of optimal treatment regimes under monotone missingness - Dong, Lin; Laber, Eric; Goldberg, Yair; Song, Rui; Yang, Shu (STATISTICS IN MEDICINE, 2020)
Keywords: augmented inverse probability weighting; dynamic treatment regimes; monotonic coarseness; outcome weighted learning; Q-learning

Bayesian Nonparametric Policy Search With Application to Periodontal Recall Intervals - Guan, Qian; Reich, Brian J.; Laber, Eric B.; Bandyopadhyay, Dipankar (JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2020)
Keywords: Dirichlet process prior; Dynamic treatment regimes; Observational data; Periodontal disease; Practice-based setting; Precision medicine; Sequential optimization

Estimating Dynamic Treatment Regimes in Mobile Health Using V-Learning - Luckett, Daniel J.; Laber, Eric B.; Kahkoska, Anna R.; Maahs, David M.; Mayer-Davis, Elizabeth; Kosorok, Michael R. (JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2020)
Keywords: Markov decision processes; Precision medicine; Reinforcement learning; Type 1 diabetes

Evaluation of a Stepped-Care eHealth HIV Prevention Program for Diverse Adolescent Men Who Have Sex With Men: Protocol for a Hybrid Type 1 Effectiveness Implementation Trial of SMART - Mustanski, Brian; Moskowitz, David A.; Moran, Kevin O.; Newcomb, Michael E.; Macapagal, Kathryn; Rodriguez-Diaz, Carlos; Rendina, H. Jonathon; Laber, Eric B.; Li, Dennis H.; Matson, Margaret; Talan, Ali J.; Cabral, Cynthia (JMIR RESEARCH PROTOCOLS, 2020)
Keywords: HIV prevention; eHealth; adolescents; men who have sex with men; implementation science; mobile phone

Global forensic geolocation with deep neural networks - Grantham, Neal S.; Reich, Brian J.; Laber, Eric B.; Pacifici, Krishna; Dunn, Robert R.; Fierer, Noah; Gebert, Matthew; Allwood, Julia S.; Faith, Seth A. (JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 2020)
Keywords: Citizen science; Machine learning; Microbiome; Non-homogeneous Poisson process; Spatial point pattern

High-Dimensional Precision Medicine From Patient-Derived Xenografts - Rashid, Naim U.; Luckett, Daniel J.; Chen, Jingxiang; Lawson, Michael T.; Wang, Longshaokan; Zhang, Yunshu; Laber, Eric B.; Liu, Yufeng; Yeh, Jen Jen; Zeng, Donglin; Kosorok, Michael R. (JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2020)
Keywords: Biomarkers; Deep learning autoencoders; Machine learning; Outcome weighted learning; Precision medicine; Q-learning

Q-Learning: Theory and Applications - Clifton, Jesse; Laber, Eric (ANNUAL REVIEW OF STATISTICS AND ITS APPLICATION, VOL 7, 2020, 2020)
Keywords: reinforcement learning; dynamic treatment regimes; model-free; causal inference; policy search

Use of standardized bioinformatics for the analysis of fungal DNA signatures applied to sample provenance - Allwood, Julia S.; Fierer, Noah; Dunn, Robert R.; Breen, Matthew; Reich, Brian J.; Laber, Eric B.; Clifton, Jesse; Grantham, Neal S.; Faith, Seth A. (FORENSIC SCIENCE INTERNATIONAL, 2020)
Keywords: Forensic microbiology; Bioinformatics; Metabarcoding; Sample provenance

Assessing Tuning Parameter Selection Variability in Penalized Regression - Hu, Wenhao; Laber, Eric B.; Barker, Clay; Stefanski, Leonard A. (TECHNOMETRICS, 2019)
Keywords: Conditional distribution; Lasso; Prediction sets

Dynamic Treatment Regimes - Tsiatis, Anastasios A.; Davidian, Marie; Holloway, Shannon T.; Laber, Eric B. (Chapman and Hall/CRC, 2019)

ENTROPY LEARNING FOR DYNAMIC TREATMENT REGIMES - Jiang, Binyan; Song, Rui; Li, Jialiang; Zeng, Donglin; Lu, Wenbin; He, Xin; Xu, Shirong; Wang, Junhui; Qian, Min; Cheng, Bin; Qiu, Hongxiang; Luedtke, Alex; et al. (STATISTICA SINICA, 2019)
Keywords: Dynamic treatment regime; entropy learning; personalized medicine

Precision Medicine - Kosorok, Michael R.; Laber, Eric B.; Louis, TA (ANNUAL REVIEW OF STATISTICS AND ITS APPLICATION, VOL 6, 2019)
Keywords: data-driven decision science; dynamic treatment regimes; machine learning; patient heterogeneity; statistical inference

Predictors of Response to 4-Aminopyridine in Chronic Canine Spinal Cord Injury - Lewis, Melissa J.; Laber, Eric; Olby, Natasha J. (Journal of Neurotrauma, 2019)
Keywords: canine; chronic SCI; motor neuron pool excitability; potassium channel antagonist; spasticity

Results of the Brief Jail Mental Health Screen Across Repeated Jail Bookings - Zottola, Samantha A.; Desmarais, Sarah L.; Neupert, Shevaun D.; Dong, Lin; Laber, Eric; Lowder, Evan M.; Van Dorn, Richard A. (Psychiatric Services, 2019)

Functional Feature Construction for Individualized Treatment Regimes - Laber, Eric B.; Staicu, Ana-Maria (JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2018)
Keywords: Functional data; Personalized medicine; Regression; Treatment regimes

Identifying optimal dosage regimes under safety constraints: An application to long term opioid treatment of chronic pain - Laber, Eric B.; Wu, Fan; Munera, Catherine; Lipkovich, Ilya; Colucci, Salvatore; Ripa, Steve (Statistics in Medicine, 2018)
Keywords: chronic pain; flexible dosing trials; policy-search; precision medicine; Q-learning; treatment dosing regimes

Incorporating Patient Preferences into Estimation of Optimal Individualized Treatment Rules - Butler, Emily L.; Laber, Eric B.; Davis, Sonia M.; Kosorok, Michael R. (BIOMETRICS, 2018)
Keywords: Competing outcomes; Individualized treatment rules; Item response theory; Precision medicine

Interpretable Dynamic Treatment Regimes - Zhang, Yichi; Laber, Eric B.; Davidian, Marie; Tsiatis, Anastasios A. (JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2018)
Keywords: Decision lists; Interpretability; Precision medicine; Research-practice gap; Treatment regimes; Tree-based methods

A multiple imputation strategy for sequential multiple assignment randomized trials - Shortreed, Susan M.; Laber, Eric; Scott Stroup, T.; Pineau, Joelle; Murphy, Susan A. (Statistics in Medicine, 2017)

Associations Between Anesthetic Variables and Functional Outcome in Dogs With Thoracolumbar Intervertebral Disk Extrusion Undergoing Decompressive Hemilaminectomy - Fenn, J.; Laber, E.; Williams, K.; Rousse, C. A.; Early, P. J.; Mariani, C. L.; Munana, Karen; Decker, S. De; Volk, H. A.; Olby, N. J.; al. (Journal of Veterinary Internal Medicine, 2017)
Keywords: Anesthesia; Canine; Intervertebral disk extrusion; Prognosis; Spinal cord injury

Dynamic treatment regimes, past, present, and future: A conversation with experts - Laber, Eric B.; Davidian, Marie (STATISTICAL METHODS IN MEDICAL RESEARCH, 2017)
Keywords: Optimal dynamic treatment regime; sequential multiple assignment randomized trial; mHealth; clinical trials; treatment sequence

Interactive Q-Learning for Quantiles - Linn, Kristin A.; Laber, Eric B.; Stefanski, Leonard A. (JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2017)
Keywords: Dynamic treatment regime; Personalized medicine; Sequential decision making; Sequential multiple assignment randomized trial

Optimizing delivery of a behavioral pain intervention in cancer patients using a sequential multiple assignment randomized trial SMART - Kelleher, Sarah A.; Dorfman, Caroline S.; Plumb Vilardaga, Jen C.; Majestic, Catherine; Winger, Joseph; Gandhi, Vicky; Nunez, Christine; Van Denburg, Alyssa; Shelby, Rebecca A.; Reed, Shelby D.; Murphy, Susan; Davidian, Marie; et al. (Contemporary Clinical Trials, 2017)
Keywords: Smart; Novel trial designs; Breast cancer; Pain; Pain coping skills training; Symptom management

Quantifying center of pressure variability in chondrodystrophoid dogs - Blau, S.R.; Davis, L.M.; Gorney, A.M.; Dohse, C.S.; Williams, K.D.; Lim, J-H.; Pfitzner, W.G.; Laber, E.; Sawicki, G.S.; Olby, N.J. (The Veterinary Journal, 2017)
Keywords: Locomotion; Kinematics; Center of gravity

Statistical Significance and the Dichotomization of Evidence: The Relevance of the ASA Statement on Statistical Significance and p-Values for Statisticians - Laber, Eric B.; Shedden, Kerby (JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2017)

An Imputation Method for Estimating the Learning Curve in Classification Problems - Laber, Eric B.; Shedden, Kerby; Yang, Yang (Statistical Analysis for High-Dimensional Data, 2016)

Bayesian nonparametric estimation for dynamic treatment regimes with sequential transition times comment - Guan, Q.; Laber, E. B.; Reich, B. J. (Journal of the American Statistical Association, 2016)

Comment - Guan, Qian; Laber, Eric B.; Reich, Brian J. (Journal of the American Statistical Association, 2016)

Estimating optimal treatment regimes from a classification perspective (vol 1, pg 103, 2012) - Zhang, Baqun; Tsiatis, Anastasios A.; Davidian, Marie; Zhang, Min; Laber, Eric (STAT, 2016)

Multi-objective markov decision processes for data-driven decision support - Lizotte, D. J.; Laber, E. B. (Journal of Machine Learning Research, 2016)

Personalized Evaluation of Biomarker Value: A Cost-Benefit Perspective - Huang, Ying; Laber, Eric (STATISTICS IN BIOSCIENCES, 2016)
Keywords: Adaptive bootstrap; Biomarker; Cost-benefit; Semiparametric location-scale model; Subject-specific expected benefit; Treatment selection

Preface - Rodrigues, Paulo C.; Laber, Eric (COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2016)

Characterizing expected benefits of biomarkers in treatment selection - Huang, Ying; Laber, Eric B.; Janes, Holly (BIOSTATISTICS, 2015)
Keywords: Adaptive bootstrap; Biomarker; Expected benefit; Potential outcomes; Treatment selection

Comment - Zhang, Yichi; Laber, Eric B. (Journal of the American Statistical Association, 2015)

Fungi Identify the Geographic Origin of Dust Samples - Grantham, Neal S.; Reich, Brian J.; Pacifici, Krishna; Laber, Eric B.; Menninger, Holly L.; Henley, Jessica B.; Barberán, Albert; Leff, Jonathan W.; Fierer, Noah; Dunn, Robert R. (PLOS ONE, 2015)

New Statistical Learning Methods for Estimating Optimal Dynamic Treatment Regimes - Zhao, Ying-Qi; Zeng, Donglin; Laber, Eric B.; Kosorok, Michael R. (JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2015)
Keywords: Classification; Personalized medicine; Q-learning; Reinforcement learning; Risk bound; Support vector machine

On sparse representation for optimal individualized treatment selection with penalized outcome weighted learning - Song, Rui; Kosorok, Michael; Zeng, Donglin; Zhao, Yingqi; Laber, Eric; Yuan, Ming (Stat, 2015)
Keywords: penalization; personalized medicine; support vector machine

Tree-based methods for individualized treatment regimes - Laber, E. B.; Zhao, Y. Q. (BIOMETRIKA, 2015)
Keywords: Continuous treatment; Exploratory analysis; Personalized medicine; Treatment regime; Tree-based method

Using Decision Lists to Construct Interpretable and Parsimonious Treatment Regimes - Zhang, Yichi; Laber, Eric B.; Tsiatis, Anastasios; Davidian, Marie (BIOMETRICS, 2015)
Keywords: Decision lists; Exploratory analyses; Interpretability; Personalized medicine; Treatment regimes

Using pilot data to size a two-arm randomized trial to find a nearly optimal personalized treatment strategy - Laber, Eric B.; Zhao, Ying-Qi; Regh, Todd; Davidian, Marie; Tsiatis, Anastasios; Stanford, Joseph B.; Zeng, Donglin; Song, Rui; Kosorok, Michael R. (Statistics in Medicine, 2015)
Keywords: personalized medicine; sample size calculation; treatment regimes; nonregular asymptotics; projection confidence region

iqLearn: Interactive Q-Learning in R - Linn, K. A.; Laber, E. B.; Stefanski, L. A. (Journal of Statistical Software, 2015)

A multiple imputation strategy for sequential multiple assignment randomized trials - Shortreed, Susan M.; Laber, Eric; Scott Stroup, T.; Pineau, Joelle; Murphy, Susan A. (Statistics in Medicine, 2014)
Keywords: sequential multiple assignment randomized trials; missing data; multiple imputation; dynamic treatment regimes; individualized treatment; treatment policies

Combining Biomarkers to Optimize Patient Treatment Recommendations Discussions - Laber, Eric B.; Tsiatis, Anastasios A.; Davidian, Marie; Holloway, Shannon T. (BIOMETRICS, 2014)

Doubly robust learning for estimating individualized treatment with censored data - Zhao, Y. Q.; Zeng, D.; Laber, E. B.; Song, R.; Yuan, M.; Kosorok, M. R. (Biometrika, 2014)
Keywords: Censored data; Doubly robust estimator; Individualized treatment rule; Risk bound; Support vector machine

Estimation of optimal dynamic treatment regimes - Zhao, Ying-Qi; Laber, Eric B. (CLINICAL TRIALS, 2014)

Inference about the expected performance of a data-driven dynamic treatment regime - Chakraborty, Bibhas; Laber, Eric B.; Zhao, Ying-Qi (CLINICAL TRIALS, 2014)

Interactive model building for Q-learning - Laber, Eric B.; Linn, Kristin A.; Stefanski, Leonard A. (BIOMETRIKA, 2014)
Keywords: Dynamic treatment regime; Personalized medicine; Treatment selection

Potassium channel antagonists 4-aminopyridine and the t-butyl carbamate derivative of 4-aminopyridine improve hind limb function in chronically non-ambulatory dogs; a blinded, placebo-controlled trial - Lim, J. H.; Muguet-Chanoit, A. C.; Smith, D. T.; Laber, E.; Olby, N. J. (PLoS One, 2014)

Q- and A-Learning Methods for Estimating Optimal Dynamic Treatment Regimes - Schulte, Phillip J.; Tsiatis, Anastasios A.; Laber, Eric B.; Davidian, Marie (STATISTICAL SCIENCE, 2014)
Keywords: Advantage learning; bias-variance trade-off; model misspecification; personalized medicine; potential outcomes; sequential decision-making

Rejoinder of "Dynamic treatment regimes: Technical challenges and applications" - Laber, E. B.; Lizotte, D. J.; Qian, M.; Pelham, W. E.; Murphy, S. A. (Electronic Journal of Statistics, 2014)

Set-Valued Dynamic Treatment Regimes for Competing Outcomes - Laber, Eric B.; Lizotte, Daniel J.; Ferguson, Bradley (BIOMETRICS, 2014)
Keywords: Competing outcomes; Composite outcomes; Dynamic treatment regimes; Personalized medicine; Preference elicitation

Assessing the Causal Effect of Organ Transplantation on the Distribution of Residual Lifetime - Vock, David M.; Tsiatis, Anastasios A.; Davidian, Marie; Laber, Eric B.; Tsuang, Wayne M.; Copeland, C. Ashley Finlen; Palmer, Scott M. (BIOMETRICS, 2013)
Keywords: Causal inference; G-estimation; Lung transplantation; Martingale theory; Structural nested failure time models

Inference for Optimal Dynamic Treatment Regimes Using an Adaptive m-Out-of-n Bootstrap Scheme - Chakraborty, Bibhas; Laber, Eric B.; Zhao, Yingqi (BIOMETRICS, 2013)
Keywords: Dynamic Treatment Regime; m-Out-of-n Bootstrap; Nonregularity; Q-learning

Robust estimation of optimal dynamic treatment regimes for sequential treatment decisions - Zhang, Baqun; Tsiatis, Anastasios A.; Laber, Eric B.; Davidian, Marie (BIOMETRIKA, 2013)
Keywords: A-learning; Double robustness; Outcome regression; Propensity score; Q-learning

A Robust Method for Estimating Optimal Treatment Regimes - Zhang, Baqun; Tsiatis, Anastasios A.; Laber, Eric B.; Davidian, Marie (BIOMETRICS, 2012)
Keywords: Doubly robust estimator; Inverse probability weighting; Outcome regression; Personalized medicine; Potential outcomes; Propensity score

Estimating optimal treatment regimes from a classification perspective - Zhang, Baqun; Tsiatis, Anastasios A.; Davidian, Marie; Zhang, Min; Laber, Eric (Stat, 2012)
Keywords: classification; doubly robust estimator; inverse probability weighting; personalized medicine; potential outcomes; propensity score

Adaptive confidence intervals for the test error in classification rejoinder - Laber, E. B.; Murphy, S. A. (Journal of the American Statistical Association, 2011)

Informing sequential clinical decision-making through reinforcement learning: an empirical study - Shortreed, Susan M.; Laber, Eric; Lizotte, Daniel J.; Stroup, T. Scott; Pineau, Joelle; Murphy, Susan A. (Machine Learning, 2010)