Works Published in 2016

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Displaying works 1 - 20 of 23 in total

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

2016 chapter

Dynamic treatment regimes

In S. L. George, X. Wang, & H. Pang (Eds.), Cancer Clinical Trials: Current and Controversial Issues in Design and Analysis (pp. 409–446). Boca Raton: Chapman & Hall/CRC Press.

By: M. Davidian, A. Tsiatis & E. Laber

Ed(s): S. George, X. Wang & H. Pang

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

2016 entry reference

Optimal Dynamic Treatment Regimes

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

Sources: Crossref, ORCID
Added: January 19, 2020

2016 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)
Source: Crossref
Added: January 17, 2020

2016 journal article

Concordance-assisted learning for estimating optimal individualized treatment regimes

Journal of the Royal Statistical Society: Series B (Statistical Methodology), 79(5), 1565–1582.

By: C. Fan*, W. Lu n, R. Song n & Y. Zhou*

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)
Source: Crossref
Added: January 17, 2020

2016 journal article

Comment

Journal of the American Statistical Association, 111(515), 942–947.

author keywords: Dynamic treatment regimes; Multi-stage chemotherapy regimes; O-learning; Q-learning
TL;DR: Two alternative methods, Q-learning and O-learning, are discussed to solve the same problem from the machine learning point of view and show that these methods can be flexible and have advantages in some situations to handle treatment heterogeneity while being robust to model misspecification. (via Semantic Scholar)
Sources: Crossref, ORCID
Added: January 13, 2020

2016 journal article

Build to understand: synthetic approaches to biology

Integrative Biology, 8(4), 394–408.

MeSH headings : Animals; Bacillus subtilis / genetics; Cell Communication; Computer Simulation; Feedback, Physiological; Gene Expression; Gene Regulatory Networks; Humans; Models, Genetic; N-Acetylmuramoyl-L-alanine Amidase / chemistry; Oscillometry; Stochastic Processes; Synthetic Biology / methods
TL;DR: This review gives examples where experimentation with synthetic gene circuits has been used to understand four fundamental mechanisms intrinsic to development and disease: multistability, stochastic gene expression, oscillations, and cell-cell communication. (via Semantic Scholar)
Source: Crossref
Added: July 20, 2019

2016 journal article

The numbers of new waitlist registrants and removals are outpacing the number of liver transplants: National trends and regional variation from 2003 through 2014

Hepatology, 64, 701A–701.

By: Z. Yi, M. Mayorga, S. Wheeler, P. Hayashi, A. Barritt & E. Orman

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

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 conference paper

Simulation of triaging patients into an internal medicine department to validate the use of an optimization based workload score

2016 winter simulation conference (wsc), 0, 3708–3709.

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

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

TL;DR: An overview of the development of a simulation model to be used in the assistance of triaging patients into the Hospital Internal Medicine Department at The Mayo Clinic in Rochester, MN in an effort to balance workload among the department services is provided. (via Semantic Scholar)
Sources: NC State University Libraries, ORCID
Added: August 6, 2018

2016 journal article

Coverage, survivability or response time: A comparative study of performance statistics used in ambulance location models via simulation–optimization

Operations Research for Health Care, 11, 1–12.

By: M. Zaffar*, H. Rajagopalan*, C. Saydam*, M. Mayorga n & E. Sharer*

author keywords: Ambulance location; Covering models; Survivability; Simulation; Metaheuristics
TL;DR: This paper compares the performance of three recent ambulance location model objectives by applying a simulation–optimization framework and shows that the maximum survivability objective performs better in both survivability and coverage metrics. (via Semantic Scholar)
Sources: Web Of Science, Crossref, ORCID
Added: August 6, 2018

2016 journal article

Robust learning for optimal treatment decision with NP-dimensionality

ELECTRONIC JOURNAL OF STATISTICS, 10(2), 2894–2921.

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

author keywords: Non-concave penalized likelihood; optimal treatment strategy; oracle property; variable selection
TL;DR: A robust procedure for estimating the optimal treatment regime under NP dimensionality is proposed and penalized regressions are employed with the non-concave penalty function, where the conditional mean model of the response given predictors may be misspecified. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2016 conference paper

Optimal distribution of the influenza vaccine

2016 10th european conference on antennas and propagation (eucap), 1411–1420.

By: O. Ozaltin n, O. Dalgic & F. Erenay*

TL;DR: An agent-based stochastic simulation model is used, and the best policy returned by this approach outperforms alternative policies recommended by the Advisory Committee on Immunization Practices and Centers for Disease Control and Prevention. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (OpenAlex)
Sources: NC State University Libraries, ORCID
Added: August 6, 2018

2016 conference paper

Creating common patients and evaluating indiviual results: issues in indivual simulation for health policy analysis

2016 10th european conference on antennas and propagation (eucap), 1387–1398.

By: D. Cornejo, M. Mayorga & K. Lich

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

2016 conference paper

A Framework for modeling the complex interaction between breast cancer and diabetes

2016 10th european conference on antennas and propagation (eucap), 1245–1256.

By: S. Goodarzi n, K. McKenzie n, N. Nataraj n, J. Ivy n, M. Mayorga n, J. Mason*, J. Tejada

TL;DR: A simulation model framework is built that explores the interaction between breast cancer and diabetes and assesses the prognosis for women diagnosed with diabetes considering their breast cancer risk, using data from national survey and surveillance consortium studies. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (OpenAlex)
Sources: NC State University Libraries, ORCID
Added: August 6, 2018

2016 conference paper

A Discrete event simulation model to estimate population level health and economic impacts of smoking cessation interventions

2016 10th european conference on antennas and propagation (eucap), 1257–1268.

By: M. Mayorga, O. Reifsnider, S. Wheeler & R. Kohler

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

2016 journal article

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

Journal of the American Statistical Association, 111(515), 942–947.

By: J. Chen, Y. Liu, D. Zeng, R. Song, Y. Zhao & M. Kosorok

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

2016 journal article

Validation of a mathematical model for green algae (Raphidocelis Subcapitata) growth and implications for a coupled dynamical system with Daphnia magna

Applied Sciences-Basel, 6(5).

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

2016 journal article

SEQUENTIAL ADVANTAGE SELECTION FOR OPTIMAL TREATMENT REGIME

ANNALS OF APPLIED STATISTICS, 10(1), 32–53.

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

author keywords: Optimal treatment regime; qualitative interaction; sequential advantage; variable selection
TL;DR: A sequential advantage selection method based on the modified S-score that selects qualitatively interacted variables sequentially, and hence excludes marginally important but jointly unimportant variables or vice versa, and can handle a large amount of covariates even if sample size is small. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2016 journal article

On analytical and numerical approaches to division and label structured population models

APPLIED MATHEMATICS LETTERS, 60, 81–88.

author keywords: Division-structured population model; Heterogeneous cell populations; Protein dynamics
TL;DR: This work demonstrates that analytical solutions are possible for more general forms of intracellular dynamics offering the promise to lend mathematical insight into population dynamics in more realistic biological settings. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2016 journal article

Ten Simple Rules for Effective Statistical Practice

PLOS Computational Biology, 12(6), e1004961.

Ed(s): F. Lewitter

MeSH headings : Algorithms; Computational Biology / methods; Computer Simulation; Data Accuracy; Data Interpretation, Statistical; Information Dissemination / methods; Models, Statistical
TL;DR: This list of rules for putting together a Ten Simple Rules article related to statistics was developed with researchers in mind: researchers having some knowledge of statistics, possibly with one or more statisticians available in their building, or with a healthy do-it-yourself attitude and a handful of statistical packages on their laptops. (via Semantic Scholar)
Sources: Crossref, ORCID, NC State University Libraries
Added: August 6, 2018

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