Works Published in 2019

search works

Displaying works 1 - 20 of 24 in total

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

2019 journal article

Determining the Number of Latent Factors in Statistical Multi-Relational Learning

Journal of Machine Learning Research, 20(23), 1–38.

By: C. Shi, W. Lu & R. Song

Source: NC State University Libraries
Added: September 27, 2020

2019 conference paper

The Effect of the Distribution of the Inverse Growth Rate on Pancreatic Cancer Progression

Proceedings - Winter Simulation Conference, 2019-December, 1044–1054.

By: L. Abu-El-Haija*, J. Ivy*, O. Ozaltin n & W. Park*

Contributors: L. Abu-El-Haija*, J. Ivy*, O. Ozaltin n & W. Park*

TL;DR: It was found that the tumor timeline is about nine months longer under the assumption that the inverse growth rate follows Gamma distribution, while it was inconclusive whether tumor progression is faster or slower in older patients as the tumor progression models with the different underlying assumptions on the inversegrowth rate yielded opposite results. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (OpenAlex)
Source: ORCID
Added: May 6, 2020

2019 chapter

An embarrassingly parallel method for large-scale stochastic programs

In Springer Optimization and Its Applications (Vol. 149, pp. 127–151).

By: B. Sand?k?? & O. Özalt?n

Contributors: B. Sandıkçı* & O. Özaltın n

TL;DR: This chapter reviews recent developments in solving large-scale stochastic programs, and focuses on a scenario decomposition-based bounding method, which is broadly applicable as it does not rely on special problem structure and stands out as a natural candidate for implementation in a distributed fashion. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Source: ORCID
Added: May 6, 2020

2019 conference paper

Evaluating an Emergency Department Care Redesign: A Simulation Approach

Proceedings - Winter Simulation Conference, 2019-December, 1137–1147.

By: B. Swan n, O. Ozaltin n, S. Hilburn*, E. Gignac* & G. McCammon*

Contributors: B. Swan n, O. Ozaltin n, S. Hilburn*, E. Gignac* & G. McCammon*

TL;DR: This paper seeks to compare a pod system against the unit-based design at Southeastern Health’s ED using a discrete event simulation and shows the pod system maintains quality of care metrics while increasing resource utilization, establishing proof of concept that an optimized pod system can improve flow in the ED. (via Semantic Scholar)
Source: ORCID
Added: May 6, 2020

2019 journal article

The value of missing information in severity of illness score development

JOURNAL OF BIOMEDICAL INFORMATICS, 97.

By: J. Agor*, O. Ozaltin*, J. Ivy*, M. Capan*, R. Arnold & S. Romero

Contributors: J. Agor*, O. Özaltın*, J. Ivy*, M. Capan*, R. Arnold & S. Romero

author keywords: Severity of illness scores; Sepsis; Missing data; Prediction models; Electronic health records
MeSH headings : Adolescent; Adult; Aged; Aged, 80 and over; Area Under Curve; Computational Biology / methods; Data Interpretation, Statistical; Electronic Health Records / statistics & numerical data; Female; Hospital Mortality; Humans; Intensive Care Units; Logistic Models; Male; Middle Aged; Models, Statistical; Outcome Assessment, Health Care / statistics & numerical data; Sepsis / mortality; Severity of Illness Index; Support Vector Machine; Young Adult
TL;DR: When developing prediction models using longitudinal EHR data, researchers should explore the incorporation of indicators for missing variables along with appropriate imputation to improve the performance of severity of illness scoring systems. (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, ORCID
Added: April 27, 2020

2019 journal article

An effective integer program for a general assembly line balancing problem with parallel workers and additional assignment restrictions

Journal of Manufacturing Systems, 50, 180–192.

By: B. Pearce*, K. Antani*, L. Mears*, K. Funk*, M. Mayorga* & M. Kurz*

author keywords: General assembly line balancing; Heuristics; integer programming models
TL;DR: A heuristic, combining rank-position-weighting, last-fit-improvement and iterative blocking scheme, and an integer program that can manage multiple constraint types simultaneously, are developed and indicate that the integer programming model provides a viable solution method for those industries with access to commercial solvers. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: February 24, 2020

2019 journal article

Mailed FIT (fecal immunochemical test), navigation or patient reminders? Using microsimulation to inform selection of interventions to increase colorectal cancer screening in Medicaid enrollees

PREVENTIVE MEDICINE, 129.

By: M. Davis*, S. Nambiar n, M. Mayorga n, E. Sullivan*, K. Hicklin*, . Meghan C. O'Leary*, K. Dillon*, K. Lich* ...

author keywords: Colorectal cancer; Simulation; Screening; Cancer prevention & control; Disparities; Intervention selection; Implementation; Medicaid
MeSH headings : Colorectal Neoplasms / diagnosis; Computer Simulation; Cost-Benefit Analysis; Early Detection of Cancer / statistics & numerical data; Female; Humans; Immunohistochemistry; Male; Mass Screening / economics; Mass Screening / statistics & numerical data; Medicaid / statistics & numerical data; Middle Aged; Occult Blood; Oregon; Patient Navigation / statistics & numerical data; Postal Service; Reminder Systems / statistics & numerical data; United States
TL;DR: To approach national CRC screening targets, health system stakeholders are encouraged to implement Mailed FIT with or without Navigation and Reminders, and to approach national screening targets if stakeholders were willing to pay $230 or less per additional year up-to-date. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: February 10, 2020

2019 journal article

Estimating the impact of insurance expansion on colorectal cancer and related costs in North Carolina: A population-level simulation analysis

PREVENTIVE MEDICINE, 129.

MeSH headings : Aged; Colorectal Neoplasms / diagnosis; Colorectal Neoplasms / therapy; Computer Simulation; Cost Savings / statistics & numerical data; Early Detection of Cancer / economics; Early Detection of Cancer / statistics & numerical data; Female; Humans; Insurance, Health / economics; Insurance, Health / statistics & numerical data; Male; Mass Screening / economics; Medicaid / economics; Medicaid / statistics & numerical data; Medicare / economics; Medicare / statistics & numerical data; Middle Aged; North Carolina; Patient Protection and Affordable Care Act; United States
TL;DR: Estimated cost savings - balancing increased CRC screening/testing costs against decreased cancer treatment costs - are approximately $30’M and $970 M for Medicaid expansion and Medicare-for-all scenarios, respectively, compared to status quo. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: February 10, 2020

2019 review

Objective measures of workload in healthcare: a narrative review

[Review of ]. INTERNATIONAL JOURNAL OF HEALTH CARE QUALITY ASSURANCE, 33(1), 1–17.

By: D. Fishbein*, S. Nambiar n, K. McKenzie n, M. Mayorga n, K. Miller*, K. Tran*, L. Schubel*, J. Agor*, T. Kim*, M. Capan*

author keywords: Workload; Care delivery needs of patients; Clinician performance; Objective workload; Task demand
MeSH headings : Electronic Health Records; Health Personnel / statistics & numerical data; Humans; Qualitative Research; Quality of Health Care; Tertiary Healthcare; Workload / classification; Workload / statistics & numerical data
TL;DR: An overview of objective measures of workload associated with direct care delivery in tertiary healthcare settings with a focus on measures that can be obtained from electronic records to inform operationalization of workload measurement is provided. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: January 21, 2020

2019 chapter

Dissecting the Learning Curve of Taxi Drivers: A Data-Driven Approach

In Proceedings of the 2019 SIAM International Conference on Data Mining (pp. 783–791).

By: M. Pan, Y. Li, X. Zhou, Z. Liu, R. Song*, H. Lu, J. Luo

TL;DR: This work makes the first attempt to inversely learn the taxi drivers’ preferences from data and characterize the dynamics of such preferences over time, illustrating that self-improving drivers tend to keep adjusting their preferences to habit features to increase their earning efficiency, while keeping the preferences to profile features invariant. (via Semantic Scholar)
Sources: Crossref, ORCID
Added: January 20, 2020

2019 journal article

Modelling and estimation for optimal treatment decision with interference

Stat, 8(1).

author keywords: A-learning; interference; network; optimal treatment regimen; Q-learning
TL;DR: It is shown that the optimal treatment regimen under the proposed network‐based regression model is independent from interference, which makes its application in practice more feasible and appealing. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Crossref, NC State University Libraries
Added: January 13, 2020

2019 article

Testing and Estimation of Social Network Dependence With Time to Event Data

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION.

author keywords: Cox model; EM algorithm; Social network dependence; Time-to-event data
TL;DR: A novel latent spatial autocorrelation Cox model is proposed to study social network dependence with time-to-event data and introduces a latent indicator to characterize whether a person’s survival time might be affected by his or her friends’ features. (via Semantic Scholar)
UN Sustainable Development Goal Categories
10. Reduced Inequalities (OpenAlex)
Source: ORCID
Added: January 10, 2020

2019 article

A Sparse Random Projection-Based Test for Overall Qualitative Treatment Effects

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION.

author keywords: High-dimensional testing; Optimal treatment regime; Precision medicine; Qualitative treatment effects; Sparse random projection
TL;DR: This article considers testing the overall qualitative treatment effects of patients’ prognostic covariates in a high-dimensional setting and proposes a sample splitting method to construct the test statistic, based on a nonparametric estimator of the contrast function. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: ORCID
Added: January 10, 2020

2019 journal article

Proper Inference for Value Function in High-Dimensional Q-Learning for Dynamic Treatment Regimes

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 114(527), 1404–1417.

author keywords: Hard threshold; Q-learning; Value function inference; Variable selection
TL;DR: A high-dimensional Q-learning (HQ-learning) is proposed to facilitate the inference of optimal values and parameters for optimal dynamic treatment regimes and hard thresholding is introduced in the method to eliminate the effects of the nonrespondents. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: October 28, 2019

2019 journal article

Prepositioning inventory for disasters: a robust and equitable model

OR SPECTRUM, 41(3), 757–785.

By: G. Velasquez n, M. Mayorga n & E. Cruz*

author keywords: Humanitarian logistics; Heuristics; Robust optimization; Facility location; Inventory prepositioning; Equity
UN Sustainable Development Goal Categories
13. Climate Action (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: October 14, 2019

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, NC State University Libraries
Added: September 30, 2019

2019 journal article

LINEAR HYPOTHESIS TESTING FOR HIGH DIMENSIONAL GENERALIZED LINEAR MODELS

ANNALS OF STATISTICS, 47(5), 2671–2703.

author keywords: High dimensional testing; linear hypothesis; likelihood ratio statistics; score test; Wald test
TL;DR: This paper proposes constrained partial regularization method and introduces an algorithm for solving regularization problems with folded-concave penalty functions and linear constraints, and shows that the limiting null distributions of these three test statistics are χ2 distribution with the same degrees of freedom, and under local alternatives, they asymptotically follow non-central χ1 distribution. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 19, 2019

2019 journal article

FSEM: Functional Structural Equation Models for Twin Functional Data

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 114(525), 344–357.

author keywords: Covariance function; Genetic and environmental effects; Weighted likelihood ratio test
TL;DR: A novel class of functional structural equation models (FSEMs) for dissecting functional genetic and environmental effects on twin functional data, while characterizing the varying association between functional data and covariates of interest are developed. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: July 1, 2019

2019 review

Application of a sequential multiple assignment randomized trial (SMART) design in older patients with chronic lymphocytic leukemia

[Review of ]. ANNALS OF ONCOLOGY, 30(4), 542–550.

By: A. Ruppert*, J. Yin, M. Davidian n, A. Tsiatis n, J. Byrd*, J. Woyach*, S. Mandrekar

author keywords: SMART; CLL; design strategies; adaptive interventions; randomized clinical trials
MeSH headings : Age Factors; Aged; Antineoplastic Combined Chemotherapy Protocols / therapeutic use; Data Analysis; Disease Progression; Feasibility Studies; Humans; Leukemia, Lymphocytic, Chronic, B-Cell / drug therapy; Leukemia, Lymphocytic, Chronic, B-Cell / mortality; Progression-Free Survival; Randomized Controlled Trials as Topic; Research Design; Sample Size
TL;DR: SMART design strategies can be used in cancer clinical trials with adaptive interventions to identify optimal treatment strategies and are appropriate when comparing adaptive interventions, which are defined by an individual's sequence of treatment decisions and guided by intermediate outcomes. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: June 17, 2019

2019 journal article

ON TESTING CONDITIONAL QUALITATIVE TREATMENT EFFECTS

ANNALS OF STATISTICS, 47(4), 2348–2377.

By: C. Shi n, R. Song n & W. Lu n

TL;DR: The proposed definition of CQTE does not assume any parametric form for the optimal treatment rule and plays an important role for assessing the incremental value of a set of new variables in optimal treatment decision making conditional on an existing set of prescriptive variables. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, ORCID
Added: June 17, 2019

Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.

Certain data included herein are derived from the Web of Science© and InCites© (2024) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.