Eric Benjamin Laber

Behavioral cancer pain intervention dosing: results of a Sequential Multiple Assignment Randomized Trial

PAIN, 164(9), 1935–1941.

Cost-Effectiveness Analysis Evaluating Delivery Strategies for Pain Coping Skills Training in Women With Breast Cancer

JOURNAL OF PAIN, 24(9), 1712–1720.

Deep Spatial Q-Learning for Infectious Disease Control

Liu, Z., Clifton, J., Laber, E. B., Drake, J., & Fang, E. X. (2023, July 8). JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS.

Interim monitoring of sequential multiple assignment randomized trials using partial information

Manschot, C., Laber, E., & Davidian, M. (2023, March 22). BIOMETRICS, Vol. 3.

Effectiveness of the SMART Sex Ed program among 13-18 year old English and Spanish speaking adolescent men who have sex with men

Mustanski, B., Saber, R., Macapagal, K., Matson, M., Laber, E., Rodrgiuez-Diaz, C., … Newcomb, M. E. (2022, August 11). AIDS AND BEHAVIOR.

Telehealth and racial disparities in colorectal cancer screening: A pilot study of how virtual clinician characteristics influence screening intentions

JOURNAL OF CLINICAL AND TRANSLATIONAL SCIENCE, 6(1).

A spatiotemporal recommendation engine for malaria control

Guan, Q., Reich, B. J., & Laber, E. B. (2021, April 10). BIOSTATISTICS, Vol. 4.

Introduction to the Theory and Methods Special Issue on Precision Medicine and Individualized Policy Discovery

Kosorok, M. R., Laber, E. B., Small, D. S., & Zeng, D. (2021, March 3). JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, Vol. 116, pp. 159–161.

Novel approach to modeling high-frequency activity data to assess therapeutic effects of analgesics in chronic pain conditions

SCIENTIFIC REPORTS, 11(1).

Receiver operating characteristic curves and confidence bands for support vector machines

BIOMETRICS, 77(4), 1422–1430.

Reinforced Risk Prediction With Budget Constraint Using Irregularly Measured Data From Electronic Health Records

Pan, Y., Laber, E. B., Smith, M. A., & Zhao, Y.-Q. (2021, November 24). JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION.

Variance Decompositions for Extensive-Form Games

2021 IEEE CONFERENCE ON GAMES (COG), pp. 380–387.

Ascertaining properties of weighting in the estimation of optimal treatment regimes under monotone missingness

STATISTICS IN MEDICINE, 39(25), 3503–3520.

Bayesian Nonparametric Policy Search With Application to Periodontal Recall Intervals

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 115(531), 1066–1078.

Estimating Dynamic Treatment Regimes in Mobile Health Using V-Learning

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 115(530), 692–706.

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

JMIR RESEARCH PROTOCOLS, 9(8).

Global forensic geolocation with deep neural networks

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 69(4), 909–929.

High-Dimensional Precision Medicine From Patient-Derived Xenografts

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 116(535), 1140–1154.

Q-Learning: Theory and Applications

ANNUAL REVIEW OF STATISTICS AND ITS APPLICATION, VOL 7, 2020, Vol. 7, pp. 279–301.

Use of standardized bioinformatics for the analysis of fungal DNA signatures applied to sample provenance

FORENSIC SCIENCE INTERNATIONAL, 310.

Assessing Tuning Parameter Selection Variability in Penalized Regression

TECHNOMETRICS, 61(2), 154–164.

Dynamic Treatment Regimes

ENTROPY LEARNING FOR DYNAMIC TREATMENT REGIMES

Jiang, B., Song, R., Li, J., Zeng, D., Lu, W., He, X., … Kallus, N. (2019, October). STATISTICA SINICA, Vol. 29, pp. 1633–1710.

Precision Medicine

ANNUAL REVIEW OF STATISTICS AND ITS APPLICATION, VOL 6, Vol. 6, pp. 263–286.

Predictors of Response to 4-Aminopyridine in Chronic Canine Spinal Cord Injury

Journal of Neurotrauma, 36(9), 1428–1434.

Results of the Brief Jail Mental Health Screen Across Repeated Jail Bookings

Psychiatric Services, 70(11), 1006–1012.

Functional Feature Construction for Individualized Treatment Regimes

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 113(523), 1219–1227.

Identifying optimal dosage regimes under safety constraints: An application to long term opioid treatment of chronic pain

Statistics in Medicine, 37(9), 1407–1418.

Incorporating Patient Preferences into Estimation of Optimal Individualized Treatment Rules

BIOMETRICS, 74(1), 18–26.

Interpretable Dynamic Treatment Regimes

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 113(524), 1541–1549.

A multiple imputation strategy for sequential multiple assignment randomized trials

Statistics in Medicine, 36(23), 3760–3760.

Associations Between Anesthetic Variables and Functional Outcome in Dogs With Thoracolumbar Intervertebral Disk Extrusion Undergoing Decompressive Hemilaminectomy

Journal of Veterinary Internal Medicine, 31(3), 814–824.

Dynamic treatment regimes, past, present, and future: A conversation with experts

STATISTICAL METHODS IN MEDICAL RESEARCH, 26(4), 1605–1610.

Interactive Q-Learning for Quantiles

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 112(518), 638–649.

Optimizing delivery of a behavioral pain intervention in cancer patients using a sequential multiple assignment randomized trial SMART

Contemporary Clinical Trials, 57, 51–57.

Quantifying center of pressure variability in chondrodystrophoid dogs

The Veterinary Journal, 226, 26–31.

Statistical Significance and the Dichotomization of Evidence: The Relevance of the ASA Statement on Statistical Significance and p-Values for Statisticians

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, Vol. 112, pp. 902–904.

An Imputation Method for Estimating the Learning Curve in Classification Problems

In Statistical Analysis for High-Dimensional Data (pp. 189–209).

Bayesian nonparametric estimation for dynamic treatment regimes with sequential transition times comment

Journal of the American Statistical Association, 111(515), 936–942.

Comment

Journal of the American Statistical Association, 111(515), 936–942.

Estimating optimal treatment regimes from a classification perspective (vol 1, pg 103, 2012)

STAT, Vol. 5, pp. 278–278.

Multi-objective markov decision processes for data-driven decision support

Journal of Machine Learning Research, 17.

Personalized Evaluation of Biomarker Value: A Cost-Benefit Perspective

STATISTICS IN BIOSCIENCES, 8(1), 43–65.

Preface

COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, Vol. 45, pp. 2657–2657.

Characterizing expected benefits of biomarkers in treatment selection

BIOSTATISTICS, 16(2), 383–399.

Comment

Journal of the American Statistical Association, 110(512), 1451–1454.

Fungi Identify the Geographic Origin of Dust Samples

PLOS ONE, 10(4), e0122605.

New Statistical Learning Methods for Estimating Optimal Dynamic Treatment Regimes

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 110(510), 583–598.

On sparse representation for optimal individualized treatment selection with penalized outcome weighted learning

Stat, 4(1), 59–68.

Tree-based methods for individualized treatment regimes

BIOMETRIKA, 102(3), 501–514.

Using Decision Lists to Construct Interpretable and Parsimonious Treatment Regimes

BIOMETRICS, 71(4), 895–904.

Using pilot data to size a two-arm randomized trial to find a nearly optimal personalized treatment strategy

Statistics in Medicine, 35(8), 1245–1256.

iqLearn: Interactive Q-Learning in R

Journal of Statistical Software, 64(1).

A multiple imputation strategy for sequential multiple assignment randomized trials

Statistics in Medicine, 33(24), 4202–4214.

Combining Biomarkers to Optimize Patient Treatment Recommendations Discussions

Laber, E. B., Tsiatis, A. A., Davidian, M., & Holloway, S. T. (2014, September). BIOMETRICS, Vol. 70, pp. 707–710.

Doubly robust learning for estimating individualized treatment with censored data

Biometrika, 102(1), 151–168.

Estimation of optimal dynamic treatment regimes

Zhao, Y.-Q., & Laber, E. B. (2014, August). CLINICAL TRIALS, Vol. 11, pp. 400–407.

Inference about the expected performance of a data-driven dynamic treatment regime

Chakraborty, B., Laber, E. B., & Zhao, Y.-Q. (2014, August). CLINICAL TRIALS, Vol. 11, pp. 408–417.

Interactive model building for Q-learning

BIOMETRIKA, 101(4), 831–847.

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

PLoS One, 9(12).

Q- and A-Learning Methods for Estimating Optimal Dynamic Treatment Regimes

STATISTICAL SCIENCE, 29(4), 640–661.

Rejoinder of "Dynamic treatment regimes: Technical challenges and applications"

Electronic Journal of Statistics, 8, 1312–1321.

Set-Valued Dynamic Treatment Regimes for Competing Outcomes

BIOMETRICS, 70(1), 53–61.

Assessing the Causal Effect of Organ Transplantation on the Distribution of Residual Lifetime

BIOMETRICS, 69(4), 820–829.

Inference for Optimal Dynamic Treatment Regimes Using an Adaptive m-Out-of-n Bootstrap Scheme

BIOMETRICS, 69(3), 714–723.

Robust estimation of optimal dynamic treatment regimes for sequential treatment decisions

BIOMETRIKA, 100(3), 681–694.

A Robust Method for Estimating Optimal Treatment Regimes

BIOMETRICS, 68(4), 1010–1018.

Estimating optimal treatment regimes from a classification perspective

Stat, 1(1), 103–114.

Adaptive confidence intervals for the test error in classification rejoinder

Journal of the American Statistical Association, 106(495), 940–945.

Informing sequential clinical decision-making through reinforcement learning: an empirical study

Machine Learning, 84(1-2), 109–136.