Works Published in 2023

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Displaying all 18 works

Sorted by most recent date added to the index first, which may not be the same as publication date order.

2023 journal article

A MULTIAGENT REINFORCEMENT LEARNING FRAMEWORK FOR OFF-POLICY EVALUATION IN TWO-SIDED MARKETS

ANNALS OF APPLIED STATISTICS, 17(4), 2701–2722.

By: C. Shi*, R. Wan n, G. Song, S. Luo, H. Zhu* & R. Song n

author keywords: Multiagent system; reinforcement learning; spatiotemporal studies; policy evaluation
TL;DR: This paper considers large-scale fleet management in ride-sharing companies that involve multiple units in different areas receiving sequences of products (or treatments) over time and proposes novel estimators for mean outcomes under different products that are consistent despite the high-dimensionality of state-action space. (via Semantic Scholar)
Source: Web Of Science
Added: March 25, 2024

2023 journal article

TL;DR: Scenarios remained close to reality for 22 weeks on average before the arrival of unanticipated SARS-CoV-2 variants invalidated key assumptions, and an ensemble of participating models that preserved variation between models was consistently more reliable than any single model in periods of valid scenario assumptions, while projection interval coverage was near target levels. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: February 26, 2024

2023 journal article

Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in<i> Populus</i><i> trichocarpa</i>

PLANT PHENOMICS, 5.

TL;DR: This work uses few-shot learning with convolutional neural networks to segment the leaf body and visible venation of 2,906 Populus trichocarpa leaf images obtained in the field, and generates a new population-scale dataset, including 68 different leaf phenotypes, for domain scientists and machine learning researchers. (via Semantic Scholar)
Source: Web Of Science
Added: January 2, 2024

2023 article

Introduction to the Special Issue on Analytical Methods for Detecting, Disrupting, and Dismantling Illicit Operations

Sharkey, T. C., Keskin, B. B., Konrad, R., & Mayorga, M. E. (2023, October 18). IISE TRANSACTIONS, Vol. 10.

By: T. Sharkey*, B. Keskin*, R. Konrad* & M. Mayorga n

Sources: Web Of Science, NC State University Libraries
Added: November 27, 2023

2023 journal article

Flexible inference of optimal individualized treatment strategy in covariate adjusted randomization with multiple covariates

ELECTRONIC JOURNAL OF STATISTICS, 17(1), 1344–1370.

By: T. Ghosh*, Y. Ma*, R. Song n & P. Zhong*

author keywords: Covariate adjusted randomization; estimating equations; nonparametric regression; robustness; semiparametric methods; single index model; treatment effect
TL;DR: A class of estimators is devised to consistently estimate the treatment effect function and its associated index while bypassing the estimation of the baseline response, which is subject to the curse of dimensionality. (via Semantic Scholar)
Source: Web Of Science
Added: November 20, 2023

2023 journal article

Parameter estimation and identifiability analysis for a bivalent analyte model of monoclonal antibody-antigen binding

ANALYTICAL BIOCHEMISTRY, 679.

author keywords: Bivalent analyte; Binding kinetics; Parameter identifiability; Surface plasmon resonance
TL;DR: A pipeline for analysis of bivalent analyte binding kinetics that allows for the use of high-throughput, non-regenerative experimental designs, optimizes using several sets of initial parameter values to ensure that the algorithm is able to reach the lowest minimum error and applies a profile likelihood method to explore parameter identifiability. (via Semantic Scholar)
Source: Web Of Science
Added: November 13, 2023

2023 journal article

Routing and staffing in emergency departments: A multiclass queueing model with workload dependent service times

IISE TRANSACTIONS ON HEALTHCARE SYSTEMS ENGINEERING, 13(1), 46–61.

By: S. Nambiar n, M. Mayorga n & Y. Liu n

author keywords: Simulation; fluid approximation; queueing model; patient flow
TL;DR: This work model a multiclass multiserver queueing system where patients of varying acuity receive care from one of several wards, each ward is attended by several nurses who work as a team, and incorporates state-dependent service times into the model. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: November 6, 2023

2023 journal article

DYNAMIC PREDICTION OF RESIDUAL LIFE WITH LONGITUDINAL COVARIATES USING LONG SHORT-TERM MEMORY NETWORKS

ANNALS OF APPLIED STATISTICS, 17(3), 2039–2058.

By: G. Rhodes n, M. Davidian n & W. Lu n

author keywords: Biomarker; dynamic prediction; electronic medical record; long short-term memory network; longitudinal data; MIMIC-III; neural network; residual life; sepsis; transformed mean residual life model
TL;DR: It is demonstrated that the L STM-GLM and the LSTM-NN are useful tools for producing individualized, real-time predictions of RMRL that can help inform the treatment decisions of septic patients. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: November 6, 2023

2023 journal article

Quantifying association and disparities between diabetes complications and COVID-19 outcomes: A retrospective study using electronic health records

PLOS ONE, 18(9).

TL;DR: The presence of diabetes complications increases the risks of COVID-19 infection, hospitalization, and worse health outcomes with respect to in-hospital mortality and longer hospital length of stay, and health disparities in CO VID-19 outcomes across demographic groups in the diabetes population are shown. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: October 30, 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, NC State University Libraries
Added: October 23, 2023

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, NC State University Libraries
Added: September 18, 2023

2023 journal article

Estimation of Parameter Distributions for Reaction-Diffusion Equations with Competition using Aggregate Spatiotemporal Data

BULLETIN OF MATHEMATICAL BIOLOGY, 85(7).

By: K. Nguyen n, E. Rutter* & K. Flores n

author keywords: Glioblastoma multiforme; Random differential equation; Parameter estimation; k-Means clustering
MeSH headings : Humans; Mathematical Concepts; Models, Biological; Brain Neoplasms; Glioblastoma
TL;DR: This work uses Prokhorov metric framework and converts the reaction-diffusion model to a random differential equation model to estimate joint distributions of diffusion and growth rates among heterogeneous subpopulations and finds that therandom differential equation is more capable at predicting the cell density compared to other models while being more time efficient. (via Semantic Scholar)
Source: Web Of Science
Added: June 19, 2023

2023 article

Engaging stakeholders in the use of an interactive simulation tool to support decision-making about the implementation of colorectal cancer screening interventions

Meghan. C. C. O'Leary, Lich, K. H., Mayorga, M. E. E., Hicklin, K., Davis, M. M. M., Brenner, A. T. T., … Wheeler, S. B. B. (2023, May 6). CANCER CAUSES & CONTROL, Vol. 5.

By: . Meghan. C. C. O'Leary, K. Lich*, M. Mayorga n, K. Hicklin*, M. Davis*, A. Brenner*, D. Reuland*, S. Birken*, S. Wheeler*

author keywords: Decision-making; Simulation; Implementation; Evidence-based intervention; Colorectal cancer screening
TL;DR: To increase the tool’s utility, providing detailed guidance on how to implement the selected EBIs, and the extent to which users can expect similar CRC screening gains in their contexts, should be prioritized. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: May 30, 2023

2023 journal article

Deep spectral Q-learning with application to mobile health

STAT, 12(1).

By: Y. Gao n, C. Shi* & R. Song n

author keywords: dynamic treatment regimes; mixed frequency data; principal component analysis; reinforcement learning
TL;DR: A deep spectral Q‐learning algorithm is proposed, which integrates principal component analysis (PCA) with deep Q‐learning to handle the mixed frequency data and proves that the mean return under the estimated optimal policy converges to that under the optimal one and establishes its rate of convergence. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: May 15, 2023

2023 article

On Learning and Testing of Counterfactual Fairness through Data Preprocessing

Chen, H., Lu, W., Song, R., & Ghosh, P. (2023, April 12). JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, Vol. 4.

author keywords: Causal inference; Conditional independence test; Fairness learning; Machine learning ethics; Structural causal model
TL;DR: The Fair Learning through dAta Preprocessing (FLAP) algorithm is developed to learn counterfactually fair decisions from biased training data and formalize the conditions where different data preprocessing procedures should be used to guarantee counterfactual fairness. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: May 1, 2023

2023 journal article

Agent-Based Simulation of Spontaneous Volunteer Convergence to Improve Disaster Planning

NATURAL HAZARDS REVIEW, 24(2).

UN Sustainable Development Goal Categories
13. Climate Action (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: April 24, 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.

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, NC State University Libraries
Added: April 4, 2023

2023 article

Detecting Human Trafficking: Automated Classification of Online Customer Reviews of Massage Businesses

Li, R., Tobey, M., Mayorga, M. E., Caltagirone, S., & Ozaltin, O. Y. (2023, February 22). M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT, Vol. 2.

By: R. Li n, M. Tobey n, M. Mayorga n, S. Caltagirone & O. Ozaltin n

author keywords: human trafficking; massage businesses; online customer reviews; Natural Language Processing; ensemble learning
TL;DR: The proposed models can save countless hours in IMB investigations by automatically sorting through large quantities of data to flag potential illicit activity, eliminating the need for manual screening of these reviews by law enforcement and other stakeholders. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: March 20, 2023

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