Works Published in 2017

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Displaying works 1 - 20 of 32 in total

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

2017 journal article

Discussion of ’Random Projection Ensemble Classification’

[Review of Random Projection Ensemble Classification, by T. Cannings & R. Samworth]. Journal of the Royal Statistical Society, Series B, 79(4), 1021.

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

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

2017 journal article

Statistical error model comparison for logistic growth of green algae (Raphidocelis subcapitata)

Applied Mathematics Letters, 64, 213–222.

By: H. Banks n, E. Collins n, K. Flores n, P. Pershad n, M. Stemkovski n & L. Stephenson n

author keywords: Algae growth models; Parameter estimation; Uncertainty quantification; Asymptotic theory
TL;DR: A proportional error statistical model is suggested to be the most appropriate for logistic growth modeling of R. subcapitata continuous population growth. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Crossref
Added: February 24, 2020

2017 journal article

Biometrics, JABES and the International Biometric Society

Journal of Agricultural, Biological and Environmental Statistics, 22(3), 221–223.

By: E. Thompson*, M. Davidian* & S. Buckland*

Sources: Crossref, ORCID
Added: January 13, 2020

2017 journal article

Trends in Characteristics of Patients Listed for Liver Transplantation Will Lead to Higher Rates of Waitlist Removal Due to Clinical Deterioration

Transplantation, 101(10), 2368–2374.

MeSH headings : Adolescent; Adult; Age Factors; Computer Simulation; Disease Progression; End Stage Liver Disease / diagnosis; End Stage Liver Disease / mortality; End Stage Liver Disease / surgery; Female; Forecasting; Health Services Needs and Demand / trends; Healthcare Disparities / trends; Humans; Liver Transplantation / trends; Male; Middle Aged; Models, Theoretical; Needs Assessment / trends; Patient Dropouts; Process Assessment, Health Care / trends; Risk Assessment; Risk Factors; Time Factors; Tissue and Organ Procurement / trends; United States / epidemiology; Waiting Lists / mortality; Young Adult
TL;DR: The liver transplant waitlist size will remain static over the next decade due to patient dropout, but Liver transplant candidates will be older, more likely to have nonalcoholic steatohepatitis and will wait for transplantation longer even when listed at a competitive MELD score. (via Semantic Scholar)
Sources: Crossref, ORCID
Added: December 16, 2019

2017 journal article

Multilevel predictors of colorectal cancer testing modality among publicly and privately insured people turning 50

Preventive Medicine Reports, 6, 9–16.

By: S. Wheeler*, T. Kuo*, A. Meyer*, C. Martens*, K. Hassmiller Lich*, F. Tangka*, L. Richardson*, I. Hall* ...

TL;DR: Both colonoscopy and FOBT/FIT are widely used in North Carolina among insured persons newly age-eligible for screening, and the high level of FOBTs use among privately insured persons and women suggests that renewed emphasis on FOBt/F IT as a viable screening alternative to Colonoscopy may be important. (via Semantic Scholar)
Sources: Crossref, ORCID
Added: December 15, 2019

2017 chapter

Forecasting Recipient Outcomes of Deceased Donor Livers

In Stochastic Modeling and Analytics in Healthcare Delivery Systems (pp. 189–209).

By: R. Townsley n, M. Mayorga n, A. Barritt IV & E. Orman*

Sources: Crossref, ORCID
Added: December 15, 2019

2017 journal article

Continuous Structured Population Models for Daphnia magna

Bulletin of Mathematical Biology, 79(11), 2627–2648.

By: E. Rutter n, H. Banks n, G. LeBlanc n & K. Flores n

author keywords: Continuous structured population models; Inverse problems; Generalized least squares; Model selection; Information content; Residual plots
MeSH headings : Animals; Computer Simulation; Confidence Intervals; Daphnia / growth & development; Daphnia / physiology; Female; Fertility; Food; Least-Squares Analysis; Male; Mathematical Concepts; Models, Biological; Population Dynamics
TL;DR: The model is fit to experimental data using the generalized least-squares framework, and the authors use cross-validation and Akaike Information Criteria to select hyper-parameters and present the confidence intervals on parameter estimates. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
Source: Crossref
Added: July 20, 2019

2017 journal article

Estimating the rate of prion aggregate amplification in yeast with a generation and structured population model

Inverse Problems in Science and Engineering, 26(2), 257–279.

author keywords: Structured population model; aggregate data; inverse problem; PDEs; prion; General biology and biomathematics
TL;DR: A mathematical and inverse problem formulation is developed to determine the amplification rate with prion aggregates from single-cell measurements observed in propagon amplification experiments, and results show that aggregate amplification rates for two prion variants are strongly bimodal, suggesting that the generational structure in the yeast population impacts the ability of prions aggregates to amplify. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Crossref
Added: July 20, 2019

2017 conference paper

Simulating triage of patients into an internal medicine department to validate the use of an optimization-based workload score

2017 winter simulation conference (wsc), 2881–2892.

By: J. Agor n, K. McKenzie n, M. Mayorga n, O. Ozaltin n, R. Parikh* & J. Huddleston*

Contributors: J. Agor n, K. McKenzie n, M. Mayorga n, O. Ozaltin n, R. Parikh* & J. Huddleston*

TL;DR: A simulation model was used to evaluate a proposed workload score designed to assist in triaging patients into the hospital services of the Division of Hospital Internal Medicine at Mayo Clinic in an effort to more equitably balance workload. (via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries, ORCID
Added: August 6, 2018

2017 conference paper

Predicting future states in DotA 2 using value-split models of time series attribute data

ACM International Conference Proceeding Series, Part F130151.

Contributors: Z. Cleghern n, S. Lahiri n, O. Ozaltin n & D. Roberts n

author keywords: Multiplayer Online Battle Arena (MOBA) Games; Game Analytics; Time Series Analysis; Prediction
TL;DR: A value-split approach to predicting changes in health is presented and the results of this approach using autoregressive moving-average models for low magnitude health changes and a combination of statistical models for the larger changes are described. (via Semantic Scholar)
Sources: ORCID, NC State University Libraries, NC State University Libraries
Added: August 6, 2018

2017 journal article

DOUBLY ROBUST ESTIMATION OF OPTIMAL TREATMENT REGIMES FOR SURVIVAL DATA-WITH APPLICATION TO AN HIV/AIDS STUDY

ANNALS OF APPLIED STATISTICS, 11(3), 1763–1786.

By: R. Jiang, W. Lu*, R. Song*, M. Hudgens & S. Naprvavnik

author keywords: Doubly robust estimation; median survival time; optimal treatment regimen; restricted mean survival time
TL;DR: A doubly robust approach to estimate optimal treatment regimes that optimize a user specified function of the survival curve, including the restricted mean survival time and the median survival time 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: August 6, 2018

2017 journal article

A SCALABLE BOUNDING METHOD FOR MULTISTAGE STOCHASTIC PROGRAMS

SIAM JOURNAL ON OPTIMIZATION, 27(3), 1772–1800.

By: B. Sandikci & O. Ozaltin*

Contributors: B. Sandikči & O. Özaltin*

author keywords: stochastic programming; multistage; mixed-integer; bounding; parallel computing
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2017 journal article

Optimal treatment regimes for survival endpoints using locally-efficient doubly-robust estimator from a classification perspective

Lifetime Data Analysis, 23(4), 585–604.

By: X. Bai n, A. Tsiatis n, W. Lu n & R. Song n

author keywords: Classification; Doubly-robust; Observational survival study; Optimal treatment regime; Value search
MeSH headings : Computer Simulation; Coronary Artery Bypass; Coronary Artery Disease / mortality; Coronary Artery Disease / therapy; Decision Making; Humans; Life Tables; Models, Statistical; Monte Carlo Method; Percutaneous Coronary Intervention; Survival Analysis; Treatment Outcome
TL;DR: This work derives a locally efficient, doubly robust, augmented inverse probability weighted complete case estimator for the value function with censored survival data and study the large sample properties of this estimator. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: August 6, 2018

2017 journal article

On estimation of optimal treatment regimes for maximizing t-year survival probability

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 79(4), 1165–1185.

By: R. Jiang n, W. Lu n, R. Song n & M. Davidian n

author keywords: Inverse probability weighted estimation; Kaplan-Meier estimator; Optimal treatment regime; Personalized medicine; Survival probability; Value function
TL;DR: This work proposes two non‐parametric estimators for the survival function of patients following a given treatment regime involving one or more decisions, i.e. the so‐called value, and introduces kernel smoothing within the estimator to improve performance. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2017 journal article

Change-Plane Analysis for Subgroup Detection and Sample Size Calculation

Journal of the American Statistical Association, 112(518), 769–778.

By: A. Fan n, R. Song n & W. Lu n

author keywords: Change-plane analysis; Doubly robust test; Sample size calculation; Semiparametric model; Subgroup analysis
TL;DR: A change-plane technique is adopted to first test the existence of a subgroup, and then identify the subgroup if the null hypothesis on nonexistence of such a sub group is rejected. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, Crossref
Added: August 6, 2018

2017 journal article

Subgroup detection and sample size calculation with proportional hazards regression for survival data

Statistics in Medicine, 36(29), 4646–4659.

By: S. Kang n, W. Lu n & R. Song n

author keywords: change-plane analysis; doubly robust test; sample size calculation; subgroup detection; survival data
MeSH headings : Acquired Immunodeficiency Syndrome; Algorithms; Clinical Trials as Topic; Computer Simulation; Control Groups; Humans; Propensity Score; Proportional Hazards Models; Regression Analysis; Sample Size; Statistics, Nonparametric; Survival Analysis
TL;DR: A score‐type test for detecting the existence of the subgroup is developed, which is doubly robust against misspecification of the baseline effect model or the propensity score but not both under mild assumptions for censoring. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries, Crossref
Added: August 6, 2018

2017 journal article

Optimal group testing designs for estimating prevalence with uncertain testing errors

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 79(5), 1547–1563.

By: S. Huang, M. Huang, K. Shedden & W. Wong

author keywords: D-optimality; D-s-optimality; Group testing; Sensitivity; Specificity
TL;DR: A type of concordance function for prescribing treatment is introduced and a robust rank regression method for estimating the concordances function is proposed and a doubly robust estimator of parameters in the prescriptive index is developed under a class of monotonic index models. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2017 journal article

Semiparametric single-index model for estimating optimal individualized treatment strategy

ELECTRONIC JOURNAL OF STATISTICS, 11(1), 364–384.

By: R. Song*, S. Luo*, D. Zeng, H. Zhang, W. Lu* & Z. Li

author keywords: Personalized medicine; single index model; semi-parametric inference
TL;DR: A new semiparametric additive single-index model for estimating individualized treatment strategy that assumes a flexible and nonparametric link function for the interaction between treatment and predictive covariates 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: August 6, 2018

2017 journal article

The optimal assignment of spontaneous volunteers

Journal of the Operational Research Society, 68(9), 1106–1116.

By: M. Mayorga n, E. Lodree* & J. Wolczynski n

author keywords: volunteer assignment; disaster operations management; Markov decision process
TL;DR: This work model this problem as a multi-server queueing system with both stochastic server arrival and abandonment, intended to be applied to the relatively stable work associated with recovery efforts, e.g., debris clearing. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (OpenAlex)
Sources: Web Of Science, Crossref, NC State University Libraries
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

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