Works (70)

Updated: October 25th, 2023 05:00

2023 journal article

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

PAIN, 164(9), 1935–1941.

author keywords: Behavioral pain intervention; Coping skills; SMART design; Breast cancer; Pain
TL;DR: Varying PCST doses led to pain reduction over time, and intervention sequences demonstrating the most durable decreases in pain reduction included PCST-Full. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: September 18, 2023

2023 journal article

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

JOURNAL OF PAIN, 24(9), 1712–1720.

By: Y. Li*, S. Reed*, J. Winger*, K. Hyland*, H. Fisher*, S. Kelleher*, S. Miller*, M. Davidian n ...

author keywords: Cost-effectiveness; pain coping skills training; cancer pain; cognitive-behavioral therapy; behavioral pain management
TL;DR: A cost-analysis of the delivery of Pain Coping Skills Training, a non-pharmacological intervention, to women with breast cancer and pain could potentially provide important cost-related information to healthcare providers and systems on the use of an efficacious and accessible non-medication strategy for pain management. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: October 23, 2023

2023 article

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.

By: Z. Liu*, J. Clifton n, E. Laber*, J. Drake* & E. Fang*

author keywords: Infectious diseases; Reinforcement learning; Graph neural networks
TL;DR: A novel model-free algorithm is developed for the online management of an infectious disease spreading over a finite set of locations and an indefinite or infinite time horizon and introduces a graph neural network-based estimator in order to improve the performance of this class of algorithms. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Source: Web Of Science
Added: July 31, 2023

2023 article

Interim monitoring of sequential multiple assignment randomized trials using partial information

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

By: C. Manschot n, E. Laber* & M. Davidian n

author keywords: augmented inverse probability weighting; clinical trials; double robustness; dynamic treatment regimes; early stopping; group sequential analysis
TL;DR: An estimator for the mean outcome under a given regime that gains efficiency by using partial information from enrolled participants regardless of their progression through treatment stages is proposed. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, ORCID
Added: April 4, 2023

2022 article

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.

By: B. Mustanski*, R. Saber*, K. Macapagal*, M. Matson*, E. Laber n, C. Rodrgiuez-Diaz*, K. Moran*, A. Carrion*, D. Moskowitz*, M. Newcomb*

author keywords: Adolescent; MSM; HIV prevention; sexual health education; online
MeSH headings : Male; Humans; Adolescent; Homosexuality, Male; HIV Infections / epidemiology; HIV Infections / prevention & control; Sexual and Gender Minorities; Sexual Behavior; Safe Sex; Sexually Transmitted Diseases / prevention & control
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 29, 2022

2022 journal article

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).

By: E. Cooks*, K. Duke n, J. Neil*, M. Vilaro*, D. Wilson-Howard*, F. Modave*, T. George*, F. Odedina* ...

author keywords: Cancer health disparities; colorectal cancer screening; telehealth; virtual human technology; precision prevention
TL;DR: This study suggests that telehealth interventions that match Black patients with a Black VC can enhance perceptions of credibility and message relevance, which may then improve screening intentions, which is needed to reduce racial CRC screening disparities. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: May 23, 2022

2021 article

A spatiotemporal recommendation engine for malaria control

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

By: Q. Guan n, B. Reich n & E. Laber n

author keywords: Infectious disease; Malaria; Resource allocation; Sequential optimization; Satiotemporal model
MeSH headings : Bayes Theorem; Humans; Malaria / prevention & control; Resource Allocation
TL;DR: The estimated optimal policy under the proposed framework improves the cumulative long-term outcome compared with naive approaches in both simulation experiments and application to malaria interventions in the Democratic Republic of the Congo. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: March 28, 2022

2021 article

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.

author keywords: Actionable artificial intelligence; Causal inference; Machine learning
TL;DR: The Theory and Methods Special Issue on Precision Medicine and Individualized Policy Discovery consists of four discussion papers, grouped into two pairs, and sixteen regular research papers that cover many important lines of research on data-driven decision making. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Source: Web Of Science
Added: April 19, 2021

2021 journal article

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

SCIENTIFIC REPORTS, 11(1).

By: Z. Xu n, E. Laber n, A. Staicu n & B. Lascelles n

MeSH headings : Analgesics / therapeutic use; Animals; Cat Diseases / drug therapy; Cats; Chronic Pain / drug therapy; Chronic Pain / veterinary; Cross-Over Studies; Double-Blind Method; Markov Chains; Models, Theoretical; Placebos; Poisson Distribution
TL;DR: A zero inflated Poisson hidden semi-Markov model is used to characterize activity patterns and derive estimators of the treatment effect in terms of changes in activity levels or frequency of activity type using data from a naturally occurring feline OA-associated pain model. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: June 10, 2021

2021 journal article

Receiver operating characteristic curves and confidence bands for support vector machines

BIOMETRICS, 77(4), 1422–1430.

By: D. Luckett*, E. Laber n, S. El-Kamary*, C. Fan*, R. Jhaveri*, C. Perou*, F. Shebl*, M. Kosorok*

author keywords: classification; diagnostic medicine; machine learning; outcome weighted learning
MeSH headings : Breast Neoplasms / diagnosis; Computer Simulation; Female; Humans; Probability; ROC Curve; Support Vector Machine
TL;DR: A method for constructing confidence bands for the SVM ROC curve is proposed and the theoretical justification is provided by showing that the risk function of the estimated decision rule is uniformly consistent across the weight parameter. (via Semantic Scholar)
UN Sustainable Development Goal Categories
5. Gender Equality (Web of Science)
16. Peace, Justice and Strong Institutions (OpenAlex)
Source: Web Of Science
Added: September 28, 2020

2021 article

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.

By: Y. Pan*, E. Laber n, M. Smith* & Y. Zhao*

author keywords: Classification with reject option; Cost-effective; Electronic health records; Functional principal component analysis; Reinforcement learning
TL;DR: A sequential predictive model that uses accumulating patient longitudinal data to classify patients as: high-risk, low- risk, or uncertain is proposed and demonstrates higher predictive accuracy and lower cost than competing methods in a series of simulation experiments and application to data on complex patients with diabetes. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: December 6, 2021

2021 article

Variance Decompositions for Extensive-Form Games

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

By: A. Cloud n & E. Laber*

author keywords: luck and skill in games; descriptive statistics; variance decomposition
TL;DR: Poker hands are analyzed to show that randomness in the cards dealt has surprisingly little influence on the outcomes of each hand and how variance decompositions can be used to measure other interesting properties of games. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Source: Web Of Science
Added: September 6, 2022

2020 journal article

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

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

By: L. Dong n, E. Laber n, Y. Goldberg*, R. Song n & S. Yang n

author keywords: augmented inverse probability weighting; dynamic treatment regimes; monotonic coarseness; outcome weighted learning; Q-learning
MeSH headings : Computer Simulation; Humans; Models, Statistical; Precision Medicine; Probability
TL;DR: The application of inverse probability weighted estimating equations as an alternative to multiple imputation in the context of monotonic missingness applies to a broad class of estimators of an optimal treatment regime including both Q‐learning and a generalization of outcome weighted learning. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: August 17, 2020

2020 journal article

Bayesian Nonparametric Policy Search With Application to Periodontal Recall Intervals

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

By: Q. Guan n, B. Reich n, E. Laber n & D. Bandyopadhyay*

author keywords: Dirichlet process prior; Dynamic treatment regimes; Observational data; Periodontal disease; Practice-based setting; Precision medicine; Sequential optimization
TL;DR: Simulation experiments and application to a rich database of electronic dental records from the HealthPartners HMO shows that the proposed method leads to better dental health without increasing the average recommended recall time relative to competing methods. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: October 28, 2019

2020 journal article

Estimating Dynamic Treatment Regimes in Mobile Health Using V-Learning

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

author keywords: Markov decision processes; Precision medicine; Reinforcement learning; Type 1 diabetes
TL;DR: A new reinforcement learning method is proposed for estimating an optimal treatment regime that is applicable to data collected using mobile technologies in an outpatient setting and accommodates an indefinite time horizon and minute-by-minute decision making that are common in mobile health applications. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Source: Web Of Science
Added: May 20, 2019

2020 journal article

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).

author keywords: HIV prevention; eHealth; adolescents; men who have sex with men; implementation science; mobile phone
TL;DR: SMART is the first web-based program for AMSM to take a stepped-care approach to sexual education and HIV prevention, and the design indicates that SMART delivers resources to all adolescents, but more costly treatments are conserved for individuals who need them the most. (via Semantic Scholar)
Source: Web Of Science
Added: October 5, 2020

2020 journal article

Global forensic geolocation with deep neural networks

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

By: N. Grantham n, B. Reich n, E. Laber n, K. Pacifici n, R. Dunn n, N. Fierer*, M. Gebert*, J. Allwood n, S. Faith n

author keywords: Citizen science; Machine learning; Microbiome; Non-homogeneous Poisson process; Spatial point pattern
TL;DR: The DeepSpace algorithm makes remarkably good point predictions; for example, when applied to the microbiomes of over 1300 dust samples collected across continental USA, more than half of geolocated predictions produced by this model fall less than 100 km from their true origin, which is a 60% reduction in error from competing geolocation methods. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: July 6, 2020

2020 journal article

High-Dimensional Precision Medicine From Patient-Derived Xenografts

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

By: N. Rashid*, D. Luckett*, J. Chen*, M. Lawson*, L. Wang n, Y. Zhang n, E. Laber n, Y. Liu* ...

author keywords: Biomarkers; Deep learning autoencoders; Machine learning; Outcome weighted learning; Precision medicine; Q-learning
TL;DR: This paper analyzes data from a large PDX study to identify biomarkers that are informative for developing personalized treatment recommendations in multiple cancers and implements a superlearner approach to combine a set of estimated ITRs, indicating that PDX data are a valuable resource for developing individualized treatment strategies in oncology. (via Semantic Scholar)
Source: Web Of Science
Added: November 30, 2020

2020 article

Q-Learning: Theory and Applications

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

By: J. Clifton n & E. Laber n

author keywords: reinforcement learning; dynamic treatment regimes; model-free; causal inference; policy search
TL;DR: The history of Q-learning in computer science and statistics is reviewed, formalized within the potential outcomes framework, and variants of infinite-horizon Q- learning and the exploration-exploitation problem are reviewed, which arises in decision problems with a long time horizon. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Source: Web Of Science
Added: March 23, 2020

2020 journal article

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

FORENSIC SCIENCE INTERNATIONAL, 310.

By: J. Allwood n, N. Fierer*, R. Dunn n, M. Breen n, B. Reich n, E. Laber n, J. Clifton n, N. Grantham n, S. Faith n

author keywords: Forensic microbiology; Bioinformatics; Metabarcoding; Sample provenance
MeSH headings : DNA Barcoding, Taxonomic; DNA, Fungal / chemistry; Demography; Forensic Sciences; Fungi; Humans; Reference Values; Soil
TL;DR: Investigating a small-scale approach as an adaptation of a larger metabarcoding study to develop a model for global sample provenance using fungal DNA signatures collected from dust swabs to facilitate a standardized method for consistent, reproducible sample treatment. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: May 26, 2020

2019 journal article

Assessing Tuning Parameter Selection Variability in Penalized Regression

TECHNOMETRICS, 61(2), 154–164.

By: W. Hu n, E. Laber n, C. Barker* & L. Stefanski n

author keywords: Conditional distribution; Lasso; Prediction sets
TL;DR: The proposed methodology attempts to strike a balance between algorithmic modeling approaches that are computationally efficient but fail to incorporate expert knowledge, and interactive modeling approaches That are labor intensive but informed by experience, intuition, and domain knowledge. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: July 22, 2019

2019 book

Dynamic Treatment Regimes

By: A. Tsiatis*, M. Davidian, S. Holloway* & E. Laber*

Source: Crossref
Added: January 22, 2022

2019 article

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.

By: B. Jiang*, R. Song n, J. Li*, D. Zeng n, W. Lu, X. He, S. Xu, J. Wang ...

author keywords: Dynamic treatment regime; entropy learning; personalized medicine
TL;DR: A entropy learning approach to estimate the optimal individualized treatment rules (ITRs) is proposed and the asymptotic distributions for the estimated rules are obtained so as to provide valid inference. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: September 30, 2019

2019 article

Precision Medicine

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

By: M. Kosorok*, E. Laber n & T. Louis

author keywords: data-driven decision science; dynamic treatment regimes; machine learning; patient heterogeneity; statistical inference
TL;DR: An overview of statistics research in precision medicine is provided, broadly focused on methodological development for estimation of and inference for treatment regimes which maximize some cumulative clinical outcome. (via Semantic Scholar)
Source: Web Of Science
Added: April 2, 2019

2019 journal article

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

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

By: M. Lewis*, E. Laber n & N. Olby n

author keywords: canine; chronic SCI; motor neuron pool excitability; potassium channel antagonist; spasticity
MeSH headings : 4-Aminopyridine / pharmacology; Animals; Dogs; Evoked Potentials, Motor / physiology; Female; H-Reflex / physiology; Male; Motor Neurons / physiology; Muscle Spasticity / physiopathology; Potassium Channel Blockers / pharmacology; Spinal Cord Injuries / physiopathology
TL;DR: Comparing clinical, electrodiagnostic, gait, and imaging variables between dogs that do and do not respond to 4AP, to identify predictors of response suggested Severity of spasticity and H-reflex threshold might allow prediction of response. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, ORCID, Crossref
Added: December 31, 2018

2019 journal article

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

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

By: S. Zottola n, S. Desmarais n, S. Neupert n, L. Dong n, E. Laber n, E. Lowder n, R. Van Dorn n

MeSH headings : Adolescent; Adult; Aged; Female; Humans; Interview, Psychological; Logistic Models; Male; Mental Disorders / diagnosis; Mental Disorders / epidemiology; Middle Aged; Prisoners / psychology; Prisoners / statistics & numerical data; Referral and Consultation / statistics & numerical data; Southeastern United States / epidemiology; Young Adult
TL;DR: Findings show that BJMHS results changed across bookings, and further research is needed to determine whether changes reflect true changes in mental health status, issues with fidelity, the repeated nature of the screening process, or other factors. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID, Crossref
Added: November 25, 2019

2018 journal article

Functional Feature Construction for Individualized Treatment Regimes

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

By: E. Laber n & A. Staicu n

author keywords: Functional data; Personalized medicine; Regression; Treatment regimes
TL;DR: This work proposes a data-driven method for constructing maximally prescriptive yet interpretable features that can be used with standard methods for estimating optimal treatment regimes, and treats the subject longitudinal information as a realization of a stochastic process observed with error at discrete time points. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: October 29, 2018

2018 journal article

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

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

By: E. Laber n, F. Wu n, C. Munera*, I. Lipkovich*, S. Colucci* & S. Ripa*

author keywords: chronic pain; flexible dosing trials; policy-search; precision medicine; Q-learning; treatment dosing regimes
MeSH headings : Analgesics, Opioid / administration & dosage; Analgesics, Opioid / adverse effects; Analgesics, Opioid / therapeutic use; Chronic Pain / drug therapy; Drug Dosage Calculations; Humans; Long-Term Care; Models, Statistical; Precision Medicine / methods; Statistics as Topic; Statistics, Nonparametric
TL;DR: The proposed framework can be applied generally to estimate a treatment regime which maximizes the mean of one primary outcome subject to constraints on one or more secondary outcomes. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Crossref
Added: January 13, 2020

2018 journal article

Incorporating Patient Preferences into Estimation of Optimal Individualized Treatment Rules

BIOMETRICS, 74(1), 18–26.

By: E. Butler*, E. Laber n, S. Davis* & M. Kosorok*

author keywords: Competing outcomes; Individualized treatment rules; Item response theory; Precision medicine
MeSH headings : Antipsychotic Agents / therapeutic use; Humans; Models, Statistical; Patient Preference / statistics & numerical data; Precision Medicine / methods; Precision Medicine / statistics & numerical data; Schizophrenia / drug therapy; Surveys and Questionnaires; Treatment Outcome
TL;DR: This work simultaneously estimates the optimal individualized treatment rule for all composite outcomes representable as a convex combination of the (suitably transformed) outcomes and proves that as the number of subjects and items on the questionnaire diverge, the estimator is consistent for an oracle optimal individualization treatment rule wherein each patient's preference is known a priori. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2018 journal article

Interpretable Dynamic Treatment Regimes

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

By: Y. Zhang*, E. Laber n, M. Davidian n & A. Tsiatis n

author keywords: Decision lists; Interpretability; Precision medicine; Research-practice gap; Treatment regimes; Tree-based methods
TL;DR: An estimator of an optimal treatment regime composed of a sequence of decision rules, each expressible as a list of “if-then” statements that can be presented as either a paragraph or as a simple flowchart that is immediately interpretable to domain experts is proposed. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: February 18, 2019

2017 journal article

A multiple imputation strategy for sequential multiple assignment randomized trials

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

By: S. Shortreed, E. Laber*, T. Scott Stroup, J. Pineau & S. Murphy*

Source: Crossref
Added: January 13, 2020

2017 journal article

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.

By: J. Fenn*, E. Laber n, K. Williams n, C. Rousse n, P. Early n, C. Mariani n, K. Munana n, S. Decker* ...

Contributors: J. Fenn*, E. Laber n, K. Williams n, C. Rousse n, P. Early n, C. Mariani n, K. Muñana n, S. De Decker*, H. Volk*, N. Olby n

author keywords: Anesthesia; Canine; Intervertebral disk extrusion; Prognosis; Spinal cord injury
MeSH headings : Anesthesia, General / adverse effects; Anesthesia, General / methods; Anesthesia, General / veterinary; Animals; Bradycardia / chemically induced; Bradycardia / veterinary; Decompression, Surgical / methods; Decompression, Surgical / veterinary; Dog Diseases / surgery; Dogs; Female; Hypotension / chemically induced; Hypotension / veterinary; Intervertebral Disc Displacement / surgery; Intervertebral Disc Displacement / veterinary; Laminectomy / methods; Laminectomy / veterinary; Male; Retrospective Studies; Thoracic Vertebrae / surgery; Treatment Outcome
TL;DR: Across all outcome measures, regression tree analysis highlighted functional grade at presentation as the primary determining factor, and among pain perception negative dogs, there was a possible association between increased duration of surgery and poorer outcome. (via Semantic Scholar)
UN Sustainable Development Goal Categories
1. No Poverty (OpenAlex)
Sources: Web Of Science, ORCID, Crossref
Added: August 6, 2018

2017 journal article

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

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

By: E. Laber n & M. Davidian n

author keywords: Optimal dynamic treatment regime; sequential multiple assignment randomized trial; mHealth; clinical trials; treatment sequence
MeSH headings : Datasets as Topic / trends; History, 20th Century; History, 21st Century; Humans; Precision Medicine / trends; Randomized Controlled Trials as Topic / history; Randomized Controlled Trials as Topic / methods
TL;DR: Three leading researchers in the area of dynamic treatment regimes are asked to share their stories on how they became interested in this topic and their perspectives on the most important opportunities and challenges for the future. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: August 6, 2018

2017 journal article

Interactive Q-Learning for Quantiles

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

By: K. Linn*, E. Laber n & L. Stefanski n

author keywords: Dynamic treatment regime; Personalized medicine; Sequential decision making; Sequential multiple assignment randomized trial
TL;DR: This work derives estimators of decision rules for optimizing probabilities and quantiles computed with respect to the response distribution for two-stage, binary treatment settings and illustrates the approach with data from a sequentially randomized trial where the primary outcome is remission of depression symptoms. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2017 journal article

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

Contemporary Clinical Trials, 57, 51–57.

By: S. Kelleher*, C. Dorfman*, J. Plumb Vilardaga*, C. Majestic*, J. Winger*, V. Gandhi*, C. Nunez*, A. Van Denburg* ...

author keywords: Smart; Novel trial designs; Breast cancer; Pain; Pain coping skills training; Symptom management
MeSH headings : Adaptation, Psychological; Adult; Breast Neoplasms / complications; Breast Neoplasms / therapy; Cognitive Behavioral Therapy / economics; Cognitive Behavioral Therapy / methods; Cost-Benefit Analysis; Female; Humans; Pain Management / economics; Pain Management / methods; Pain Measurement
TL;DR: This is one of the first trials to use a novel design to evaluate symptom management in cancer patients and in chronic illness; if successful, it could serve as a model for future work with a wide range of chronic illnesses. (via Semantic Scholar)
Sources: Crossref, ORCID, NC State University Libraries
Added: August 6, 2018

2017 journal article

Quantifying center of pressure variability in chondrodystrophoid dogs

The Veterinary Journal, 226, 26–31.

By: S. Blau n, L. Davis n, A. Gorney n, C. Dohse n, K. Williams n, J. Lim n, W. Pfitzner n, E. Laber n, G. Sawicki n, N. Olby n

author keywords: Locomotion; Kinematics; Center of gravity
MeSH headings : Animals; Biomechanical Phenomena; Cartilage / growth & development; Dog Diseases / physiopathology; Dogs / anatomy & histology; Dogs / physiology; Gait; Species Specificity; Spinal Cord Injuries / physiopathology; Spinal Cord Injuries / veterinary
TL;DR: In conclusion, COP variability can be measured consistently in dogs, and a range of COP variability for normal chondrodystrophoid dogs has been determined to provide a baseline for future studies on dogs with spinal cord injury. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, Crossref, ORCID
Added: August 6, 2018

2017 article

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.

By: E. Laber n & K. Shedden*

TL;DR: Empirical efforts to document the practices and thought processes of data analysis are a promising way to understanding the real-world impact of statistical methodology. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2016 chapter

An Imputation Method for Estimating the Learning Curve in Classification Problems

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

By: E. Laber n, K. Shedden* & Y. Yang*

TL;DR: Simulation studies indicate that useful estimates of learning curves can be obtained for roughly a four-fold increase in the size of the training set relative to the available data, and that the proposed imputation approach outperforms an alternative estimation approach based on parameterizing the learning curve. (via Semantic Scholar)
Source: Crossref
Added: January 13, 2020

2016 journal article

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

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

By: Q. Guan, E. Laber & B. Reich

Source: NC State University Libraries
Added: August 6, 2018

2016 journal article

Comment

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

By: Q. Guan n, E. Laber n & B. Reich n

TL;DR: It is argued that NPB methods can have tremendous value as an engine for policy-search algorithms used to estimate an optimal treatment regime within a prespecified class, and may possess a number of advantages over existing methods in the context of policy- search algorithms. (via Semantic Scholar)
Sources: Crossref, ORCID
Added: January 13, 2020

2016 article

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

STAT, Vol. 5, pp. 278–278.

By: B. Zhang*, A. Tsiatis n, M. Davidian n, M. Zhang* & E. Laber n

UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: August 6, 2018

2016 journal article

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

Journal of Machine Learning Research, 17.

By: D. Lizotte & E. Laber

Source: NC State University Libraries
Added: August 6, 2018

2016 journal article

Personalized Evaluation of Biomarker Value: A Cost-Benefit Perspective

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

By: Y. Huang* & E. Laber n

author keywords: Adaptive bootstrap; Biomarker; Cost-benefit; Semiparametric location-scale model; Subject-specific expected benefit; Treatment selection
TL;DR: A new graphical tool named the subject-specific expected benefit curve for quantifying the personalized value of a biomarker in aiding a treatment decision is proposed and used to evaluate the individualized value of the serum creatinine marker in informing treatment decisions for the prevention of renal artery stenosis. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2016 article

Preface

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

By: P. Rodrigues* & E. Laber n

TL;DR: This book includes 16 chapters highlighting recent research advances in biometric security, including Fingerprints, Vein Patterns and Palmprints, and reports a new biometric recognition approach based on the acoustic. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2015 journal article

Characterizing expected benefits of biomarkers in treatment selection

BIOSTATISTICS, 16(2), 383–399.

By: Y. Huang*, E. Laber n & H. Janes*

author keywords: Adaptive bootstrap; Biomarker; Expected benefit; Potential outcomes; Treatment selection
MeSH headings : Biomarkers; Clinical Decision-Making / methods; Diabetes Mellitus / therapy; Glycated Hemoglobin / analysis; Humans; Models, Statistical; Randomized Controlled Trials as Topic / statistics & numerical data
TL;DR: An expected benefit measure is proposed that incorporates both effects to quantify a marker's treatment-selection capacity and is expanded to account for the fact that optimal treatment absent marker information varies with the cost of treatment. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2015 journal article

Comment

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

By: Y. Zhang & E. Laber*

TL;DR: The regime can shed further light on the finite sample behavior of the estimator and the wealth of different asymptotic regimes and different uniformity guarantees can be used as potential guidance for practitioners on which estimators they should focus on. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Crossref
Added: January 13, 2020

2015 journal article

Fungi Identify the Geographic Origin of Dust Samples

PLOS ONE, 10(4), e0122605.

By: N. Grantham n, B. Reich n, K. Pacifici n, E. Laber n, H. Menninger n, J. Henley*, A. Barberán*, J. Leff*, N. Fierer*, R. Dunn n

Contributors: N. Grantham n, B. Reich n, K. Pacifici n, E. Laber n, H. Menninger n, J. Henley*, A. Barberán*, J. Leff*, N. Fierer*, R. Dunn n

Ed(s): A. Rokas

MeSH headings : Archaeology; Dust; Fungi / classification; Fungi / genetics; Genetic Variation; Pollen / genetics; Pollen / microbiology
TL;DR: A statistical learning algorithm via discriminant analysis is developed that exploits this geographic endemicity in the fungal diversity of dust samples to correctly identify samples to within a few hundred kilometers of their geographic origin with high probability. (via Semantic Scholar)
Sources: Web Of Science, ORCID, Crossref
Added: August 6, 2018

2015 journal article

New Statistical Learning Methods for Estimating Optimal Dynamic Treatment Regimes

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

By: Y. Zhao, D. Zeng, E. Laber* & M. Kosorok

author keywords: Classification; Personalized medicine; Q-learning; Reinforcement learning; Risk bound; Support vector machine
TL;DR: Two new statistical learning methods for estimating the optimal DTR are introduced, termed backward outcome weighted learning (BOWL) and simultaneous outcome weightedlearning (SOWL), and it is proved that the resulting rules are consistent, and provide finite sample bounds for the errors using the estimated rules. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2015 journal article

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

Stat, 4(1), 59–68.

author keywords: penalization; personalized medicine; support vector machine
TL;DR: This article develops a variable selection method based on penalized outcome weighted learning through which an optimal treatment rule is considered as a classification problem where each subject is weighted proportional to his or her clinical outcome. (via Semantic Scholar)
Sources: Crossref, ORCID
Added: January 13, 2020

2015 journal article

Tree-based methods for individualized treatment regimes

BIOMETRIKA, 102(3), 501–514.

By: E. Laber n & Y. Zhao

author keywords: Continuous treatment; Exploratory analysis; Personalized medicine; Treatment regime; Tree-based method
TL;DR: A method for estimating an optimal individualized treatment rule within the class of rules that are representable as decision trees that is interpretable but expressive and produces favourable marginal mean outcomes in simulation experiments is proposed. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2015 journal article

Using Decision Lists to Construct Interpretable and Parsimonious Treatment Regimes

BIOMETRICS, 71(4), 895–904.

By: Y. Zhang n, E. Laber n, A. Tsiatis n & M. Davidian n

author keywords: Decision lists; Exploratory analyses; Interpretability; Personalized medicine; Treatment regimes
MeSH headings : Biometry / methods; Breast Neoplasms / drug therapy; Clinical Protocols; Clinical Trials as Topic / statistics & numerical data; Computer Simulation; Decision Trees; Depression / therapy; Evidence-Based Medicine / statistics & numerical data; Female; Humans; Models, Statistical; Precision Medicine / statistics & numerical data
TL;DR: A simple, yet flexible class of treatment regimes whose members are representable as a short list of if–then statements are proposed, which are immediately interpretable and are therefore an appealing choice for broad application in practice. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2015 journal article

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.

author keywords: personalized medicine; sample size calculation; treatment regimes; nonregular asymptotics; projection confidence region
MeSH headings : Biostatistics; Computer Simulation; Confidence Intervals; Data Interpretation, Statistical; Evidence-Based Practice / statistics & numerical data; Female; Fertility; Humans; Male; Models, Statistical; Pilot Projects; Precision Medicine / statistics & numerical data; Pregnancy; Randomized Controlled Trials as Topic / statistics & numerical data; Regression Analysis; Sample Size
TL;DR: This work offers a simple and robust method for powering a single stage, two‐armed randomized clinical trial when the primary aim is estimating the optimal single stage personalized treatment strategy. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, Crossref, ORCID
Added: August 6, 2018

2015 journal article

iqLearn: Interactive Q-Learning in R

Journal of Statistical Software, 64(1).

By: K. Linn, E. Laber & L. Stefanski

Source: NC State University Libraries
Added: August 6, 2018

2014 journal article

A multiple imputation strategy for sequential multiple assignment randomized trials

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

By: S. Shortreed*, E. Laber n, T. Scott Stroup*, J. Pineau* & S. Murphy*

author keywords: sequential multiple assignment randomized trials; missing data; multiple imputation; dynamic treatment regimes; individualized treatment; treatment policies
MeSH headings : Antipsychotic Agents / therapeutic use; Data Interpretation, Statistical; Decision Making; Humans; Longitudinal Studies; Randomized Controlled Trials as Topic / methods; Regression Analysis; Schizophrenia / drug therapy
TL;DR: This paper presents the first comprehensive discussion of missing data issues typical of SMART studies: it describes five specific challenges and proposes a flexible imputation strategy to facilitate valid statistical estimation and inference using incomplete data from a SMART. (via Semantic Scholar)
Source: Crossref
Added: February 24, 2020

2014 article

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.

By: E. Laber n, A. Tsiatis n, M. Davidian n & S. Holloway n

MeSH headings : Biomarkers, Tumor / blood; Biometry / methods; Breast Neoplasms / blood; Breast Neoplasms / therapy; Data Interpretation, Statistical; Female; Humans; Male; Outcome Assessment, Health Care / methods
TL;DR: It is shown how the method of KJH can be used with existing policy-search methods to construct a treatment rule that is interpretable, logistically feasible, parsimonious, or otherwise appealing. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (OpenAlex)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2014 journal article

Doubly robust learning for estimating individualized treatment with censored data

Biometrika, 102(1), 151–168.

author keywords: Censored data; Doubly robust estimator; Individualized treatment rule; Risk bound; Support vector machine
TL;DR: Nonparametric methods for estimating an optimal individualized treatment rule in the presence of censored data are developed and a doubly robust estimator is proposed which requires correct specification of either the censoring model or survival model but not both. (via Semantic Scholar)
Sources: Web Of Science, ORCID, Crossref
Added: August 6, 2018

2014 article

Estimation of optimal dynamic treatment regimes

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

By: Y. Zhao* & E. Laber n

TL;DR: The purpose of this article is to review recent methodological progress and applied issues associated with estimating optimal dynamic treatment regimes using sequential multiple assignment randomized trials data. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2014 article

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.

By: B. Chakraborty*, E. Laber n & Y. Zhao*

TL;DR: A conceptually simple and computationally feasible method for constructing valid CIs for the Value of an estimated DTR based on subsampling, which offers considerable improvement in terms of coverage rates of the CIs over the standard bootstrap approach. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2014 journal article

Interactive model building for Q-learning

BIOMETRIKA, 101(4), 831–847.

By: E. Laber n, K. Linn n & L. Stefanski n

author keywords: Dynamic treatment regime; Personalized medicine; Treatment selection
TL;DR: This work proposes an alternative strategy for estimating optimal sequential decision rules for which the requisite statistical modeling does not depend on nonsmooth, nonmonotone transformed data, is consistent under a broader array of data-generation models than Q-learning, results in estimated sequential decision Rules that have better sampling properties. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2014 journal article

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).

By: J. Lim, A. Muguet-Chanoit, D. Smith, E. Laber & N. Olby

Source: NC State University Libraries
Added: August 6, 2018

2014 journal article

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

STATISTICAL SCIENCE, 29(4), 640–661.

By: P. Schulte*, A. Tsiatis n, E. Laber n & M. Davidian n

author keywords: Advantage learning; bias-variance trade-off; model misspecification; personalized medicine; potential outcomes; sequential decision-making
TL;DR: This work provides a detailed account of Q- and A-learning methods, study their performance, and illustrate them using data from a depression study. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2014 journal article

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

Electronic Journal of Statistics, 8, 1312–1321.

By: E. Laber, D. Lizotte, M. Qian, W. Pelham & S. Murphy

Source: NC State University Libraries
Added: August 6, 2018

2014 journal article

Set-Valued Dynamic Treatment Regimes for Competing Outcomes

BIOMETRICS, 70(1), 53–61.

By: E. Laber n, D. Lizotte* & B. Ferguson n

author keywords: Competing outcomes; Composite outcomes; Dynamic treatment regimes; Personalized medicine; Preference elicitation
MeSH headings : Algorithms; Antipsychotic Agents / administration & dosage; Antipsychotic Agents / adverse effects; Antipsychotic Agents / therapeutic use; Body Mass Index; Clinical Protocols; Clinical Trials as Topic / methods; Decision Making; Humans; Models, Statistical; Schizophrenia / drug therapy; Treatment Outcome
TL;DR: This work proposes a method for constructing DTRs that accommodates competing outcomes by recommending sets of treatments at each decision point, and offers an exact enumeration algorithm by recasting the problem as a linear mixed integer program. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2013 journal article

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

BIOMETRICS, 69(4), 820–829.

By: D. Vock*, A. Tsiatis n, M. Davidian n, E. Laber n, W. Tsuang*, C. Copeland*, S. Palmer*

author keywords: Causal inference; G-estimation; Lung transplantation; Martingale theory; Structural nested failure time models
MeSH headings : Adolescent; Adult; Age Distribution; Aged; Aged, 80 and over; Causality; Data Interpretation, Statistical; Humans; Internationality; Life Expectancy; Lung Diseases / mortality; Lung Diseases / surgery; Lung Transplantation / mortality; Middle Aged; Outcome Assessment, Health Care / methods; Survival Rate; Young Adult
TL;DR: A version of G‐estimation is developed that accounts for the fact that treatment assignment is not independent across individuals to estimate the parameters of a structural nested failure time model and leads to valid inference of the effect of transplantation on the distribution of residual lifetime. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2013 journal article

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

BIOMETRICS, 69(3), 714–723.

By: B. Chakraborty*, E. Laber n & Y. Zhao*

author keywords: Dynamic Treatment Regime; m-Out-of-n Bootstrap; Nonregularity; Q-learning
MeSH headings : Antidepressive Agents / therapeutic use; Artificial Intelligence; Biometry / methods; Computer Simulation; Confidence Intervals; Decision Theory; Depressive Disorder, Major / drug therapy; Humans; Linear Models; Logistic Models; Models, Statistical; Monte Carlo Method; Randomized Controlled Trials as Topic / statistics & numerical data
TL;DR: This work considers the m-out-of-n bootstrap for constructing confidence intervals for the parameters indexing the optimal dynamic regime and proposes an adaptive choice of m and shows that it produces asymptotically correct confidence sets under fixed alternatives. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2013 journal article

Robust estimation of optimal dynamic treatment regimes for sequential treatment decisions

BIOMETRIKA, 100(3), 681–694.

By: B. Zhang*, A. Tsiatis n, E. Laber n & M. Davidian n

author keywords: A-learning; Double robustness; Outcome regression; Propensity score; Q-learning
TL;DR: This work proposes an alternative to Q- and A-learning that maximizes a doubly robust augmented inverse probability weighted estimator for population mean outcome over a restricted class of regimes. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2012 journal article

A Robust Method for Estimating Optimal Treatment Regimes

BIOMETRICS, 68(4), 1010–1018.

By: B. Zhang n, A. Tsiatis n, E. Laber n & M. Davidian n

author keywords: Doubly robust estimator; Inverse probability weighting; Outcome regression; Personalized medicine; Potential outcomes; Propensity score
MeSH headings : Breast Neoplasms / epidemiology; Breast Neoplasms / therapy; Clinical Trials as Topic / methods; Computer Simulation; Decision Support Systems, Clinical; Female; Humans; Models, Statistical; Outcome Assessment, Health Care / methods; Prevalence; Regression Analysis; Treatment Outcome
TL;DR: A doubly robust augmented inverse probability weighted estimator is used for finding the optimal regime within a class of regimes by finding the regime that optimizes an estimator of overall population mean outcome. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2012 journal article

Estimating optimal treatment regimes from a classification perspective

Stat, 1(1), 103–114.

By: B. Zhang*, A. Tsiatis n, M. Davidian n, M. Zhang* & E. Laber n

author keywords: classification; doubly robust estimator; inverse probability weighting; personalized medicine; potential outcomes; propensity score
TL;DR: This work proposes a novel and general framework that transforms the problem of estimating an optimal treatment regime into a classification problem wherein the optimal classifier corresponds to the optimalreatment regime. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Crossref, ORCID
Added: January 23, 2020

2011 journal article

Adaptive confidence intervals for the test error in classification rejoinder

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

By: E. Laber & S. Murphy

Source: NC State University Libraries
Added: August 6, 2018

2010 journal article

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

Machine Learning, 84(1-2), 109–136.

TL;DR: The role that reinforcement learning can play in the optimization of treatment policies for chronic illnesses and the results of applying off-the-shelf reinforcement learning methods to real clinical trial data of patients with schizophrenia are presented. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Source: Crossref
Added: February 24, 2020

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