Works Published in 2014

search works

Displaying works 1 - 20 of 22 in total

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

2014 journal article

Improving emergency service in rural areas: a bi-objective covering location model for EMS systems

Annals of Operations Research, 221(1), 133–159.

author keywords: Emergency medical service; Facility location; Bi-objective optimization; Discrete optimization
TL;DR: This paper proposes three bi-objective covering location models that directly consider fairness in semi-rural/semi-urban communities and results are discussed and compared to provide a menu of alternatives to policy makers. (via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities (OpenAlex)
Sources: Crossref, NC State University Libraries
Added: May 17, 2021

2014 journal article

Predicting Liver Transplant Capacity Using Discrete Event Simulation

Medical Decision Making, 35(6), 784–796.

author keywords: liver transplantation; organ donors; forecast; simulation
MeSH headings : Computer Simulation; Forecasting; Health Services Accessibility / statistics & numerical data; Health Services Accessibility / trends; Health Services Needs and Demand / statistics & numerical data; Health Services Needs and Demand / trends; Humans; Liver Transplantation / statistics & numerical data; Liver Transplantation / trends; Tissue Donors / supply & distribution; Tissue Survival; United States; Waiting Lists
TL;DR: A discrete event simulation model informed by current donor characteristics to predict future LT trends through the year 2030 can be used to develop policy interventions to prevent a further decline in this lifesaving therapy. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: May 17, 2021

2014 journal article

Comment on ”Multiscale change point inference” by Frick, Munk and Sieling

[Review of Multiscale change point inference, by K. Frick, A. Munk, & H. Sieling]. Journal of the Royal Statistical Society, Series B, 76(3), 564.

By: R. Song, M. Kosorok & J. Fine

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

2014 journal article

Exact solution approach for a class of nonlinear bilevel knapsack problems

Journal of Global Optimization, 61(2), 291–310.

By: B. Beheshti*, O. Özalt?n, M. Zare* & O. Prokopyev*

Contributors: B. Beheshti*, O. Özaltın, M. Zare* & O. Prokopyev*

author keywords: Bilevel programming; Integer programming; Value functions; Knapsack problem
TL;DR: An exact solution approach is proposed using an equivalent single-level value function reformulation for nonlinear bilevel knapsack problems with quadratic and fractional binary objective functions. (via Semantic Scholar)
Source: ORCID
Added: May 6, 2020

2014 chapter

Missing data methods: A semiparametric perspective

In G. Fitzmaurice, M. Kenward, G. Molenberghs, A. A. Tsiatis, & G. Verbeke (Eds.), Handbook of Missing Data. Boca Raton: Chapman & Hall/CRC Press.

By: A. Tsiatis & M. Davidian

Ed(s): G. Fitzmaurice, M. Kenward, G. Molenberghs, A. Tsiatis & G. Verbeke

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

2014 journal article

SNP_NLMM: A SAS Macro to Implement a Flexible Random Effects Density for Generalized Linear and Nonlinear Mixed Models

Journal of Statistical Software, 56(Code Snippet 2).

By: D. Vock*, M. Davidian n & A. Tsiatis n

TL;DR: A SAS macro, SNP_NLMM, is developed that overcomes the computational challenges to fit GLMMs and NLMMs where the random effects are assumed to follow a smooth density that can be represented by the seminonparametric formulation proposed by Gallant and Nychka (1987). (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (OpenAlex)
Sources: Crossref, ORCID
Added: January 22, 2020

2014 chapter

Research Methods for Clinical Trials in Personalized Medicine: A Systematic Review

In Lost in Translation (pp. 659–684).

By: Z. Ren*, M. Davidian n, S. George*, R. Goldberg*, F. Wright*, A. Tsiatis n, M. Kosorok*

TL;DR: Much work is needed to standardize and improve statistical methods for finding biomarkers, validating results, and efficiently optimizing better individual treatment strategies in personalized medicine. (via Semantic Scholar)
Sources: Crossref, ORCID
Added: January 22, 2020

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)
Source: Crossref
Added: January 17, 2020

2014 journal article

Publishing without perishing and other career advice

Past, Present, and Future of Statistical Science, 581–591.

By: M. Davidian

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

2014 book

The Work of Raymond J. Carroll

Marie Davidian; Len Stefanski

Ed(s): M. Davidian n, X. Lin*, J. Morris & L. Stefanski n

Sources: Crossref, ORCID
Added: August 6, 2018

2014 conference paper

Uncertainty quantification for a model of HIV-1 patient response to antiretroviral therapy interruptions

2014 american control conference (acc), 2753–2758.

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.

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

Censored rank independence screening for high-dimensional survival data

Biometrika, 101(4), 799–814.

By: R. Song n, W. Lu n, S. Ma* & X. Jeng n

author keywords: High-dimensional survival data; Rank independence screening; Sure screening property
TL;DR: Simulations and an analysis of real data demonstrate that the proposed method performs competitively on survival data sets of moderate size and high-dimensional predictors, even when these are contaminated. (via Semantic Scholar)
Sources: Web Of Science, ORCID, Crossref
Added: August 6, 2018

2014 journal article

On varying-coefficient independence screening for high-dimensional varying-coefficient models

Statistica Sinica, 24(4), 1735–1752.

By: R. Song, F. Yi & H. Zou

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

2014 journal article

Comment on "Dynamic treatment regimes: Technical challenges and applications"

Electronic Journal of Statistics, 8, 1290–1300.

By: Y. Goldberg, R. Song, D. Zeng & M. Kosorok

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

2014 journal article

The minimum p-envy location problem with requirement on minimum survival rate

COMPUTERS & INDUSTRIAL ENGINEERING, 74, 228–239.

author keywords: p-Envy; Location models; Survival function; Emergency medical service; Equity
TL;DR: An extension to the minimum p-envy location model is considered by evaluating the objective of the model based on a survival function instead of on a distance function since survival probability is directly related to patient outcomes with a constraint on minimum survival rate. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

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.

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

Priority dispatching strategies for EMS systems

JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 65(4), 572–587.

By: D. Bandara*, M. Mayorga n & L. McLay*

author keywords: health service; dispatching; patient survivability; simulation; heuristics
TL;DR: This study implements dispatching policies for EMS systems that incorporate the severity of the call in order to increase the survival probability of patients and a heuristic algorithm, that is easy to implement, is developed to dispatch ambulances for large-scale EMS systems. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2014 journal article

Recommendations for dispatching emergency vehicles under multitiered response via simulation

INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH, 21(4), 581–617.

By: K. Sudtachat*, M. Mayorga n & L. McLay*

author keywords: emergency medical service; simulation; multiple-unit dispatch; call priorities
TL;DR: Numerical results show that dispatching while considering call priorities, rather than dispatching the closest units, improves EMS system effectiveness and a heuristic algorithm is developed for large-scale problems. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2014 journal article

The analysis of multivariate longitudinal data: A review

STATISTICAL METHODS IN MEDICAL RESEARCH, 23(1), 42–59.

author keywords: Mixed models; random effects; shared parameters; marginal models; conditional models; latent variables
MeSH headings : Hearing; Humans; Longitudinal Studies; Models, Statistical; Multivariate Analysis
TL;DR: This article will present a review of the many approaches proposed in the statistical literature, and four main model families will be presented, discussed and compared. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

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.