Works Published in 2020

search works

Displaying works 61 - 80 of 181 in total

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

2020 report

Estimating Average Treatment Effects Utilizing Fractional Imputation when Confounders are Subject to Missingness

https://arxiv.org/pdf/1905.11497

By: N. Corder & S. Yang

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

2020 report

Integrative analysis of randomized clinicaltrials with real world evidence studies

https://arxiv.org/pdf/2003.01242

By: L. Dong, S. Yang, X. Wang, D. Zeng & J. Cai

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

2020 chapter

Hierarchical continuous time hidden Markov model, with application in zero-inflated accelerometer data

In Y. Zhao & D. G. Chen (Eds.), Statistical Modeling for Biomedical Research: Contemporary Topics and Voices in the Field (pp. 125–142).

Ed(s): Y. Zhao & D. Chen

TL;DR: A flexible and extensible continuous-time hidden Markov model is proposed to extract meaningful activity patterns from human accelerometer data and an efficient learning algorithm is derived that exploits the hierarchical structure of the parameters indexing the proposed model. (via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: September 27, 2020

2020 article

Statistical Inference for Online Decision Making: In a Contextual Bandit Setting

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, Vol. 7, pp. 1–16.

author keywords: Epsilon-greedy; Inverse propensity weighted estimator; Model misspecification; Online decision making; Statistical inference
TL;DR: Using the martingale central limit theorem, it is shown that the online ordinary least squares estimator of model parameters is asymptotically normal and the in-sample inverse propensity weighted value estimator is asylptotic normal. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Source: ORCID
Added: September 23, 2020

2020 journal article

Sequencing depth and genotype quality: accuracy and breeding operation considerations for genomic selection applications in autopolyploid crops

Theoretical and Applied Genetics, 133(12), 3345–3363.

MeSH headings : Crops, Agricultural / genetics; Crops, Agricultural / growth & development; Genotype; Ipomoea batatas / genetics; Ipomoea batatas / growth & development; Phenotype; Plant Breeding; Polymorphism, Single Nucleotide; Polyploidy; Quantitative Trait Loci; Selection, Genetic; Sequence Analysis, DNA
TL;DR: It is concluded that genomic selection can help accelerate the rate of genetic gains in potato and sweetpotato, however, application of genomic selection should be considered as part of optimizing the entire breeding program. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID, Crossref
Added: September 21, 2020

2020 journal article

Effect of bicyclopyrone herbicide on sweetpotato and Palmer amaranth (Amaranthus palmeri)

WEED TECHNOLOGY, 34(4), 552–559.

author keywords: Greenhouse; weed control; crop injury; interference
TL;DR: Sweetpotato plant injury and stunting increased, and vine length and shoot dry weight decreased with increasing rate of bicyclopyrone regardless of clone or application timing. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
13. Climate Action (Web of Science)
Source: Web Of Science
Added: September 21, 2020

2020 journal article

A general frequency domain method for assessing spatial covariance structures

BERNOULLI, 26(4), 2463–2487.

By: M. Van Hala, S. Bandyopadhyay, S. Lahiri* & D. Nordman

author keywords: confidence sets; spatial periodogram; spatial testing; spectral moment conditions; stochastic sampling
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
Source: Web Of Science
Added: September 14, 2020

2020 journal article

Asymptotic properties of penalized splines for functional data

BERNOULLI, 26(4), 2847–2875.

By: L. Xiao*

author keywords: L-2 convergence; functional data analysis; nonparametric regression; penalized splines; uniform convergence
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: September 14, 2020

2020 journal article

Mechanistic model of hormonal contraception

PLOS COMPUTATIONAL BIOLOGY, 16(6).

By: A. Wright n, G. Fayad*, J. Selgrade n & M. Olufsen n

MeSH headings : Adult; Contraceptive Agents / therapeutic use; Estrogens / therapeutic use; Female; Follicle Stimulating Hormone / physiology; Hormonal Contraception; Humans; Hypothalamus / drug effects; Luteinizing Hormone / physiology; Menstrual Cycle / drug effects; Models, Biological; Ovary / drug effects; Pituitary Gland / drug effects; Progestins / therapeutic use
TL;DR: This new model predicts mean daily blood concentrations of key hormones during a contraceptive state achieved by administering progestins, synthetic estrogens, or a combined treatment, and shows that contraception can be achieved with synthetic estrogen, with progestin, and by combining the two hormones. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
5. Gender Equality (Web of Science)
Source: Web Of Science
Added: August 24, 2020

2020 journal article

Comparison of the Effectiveness of Online Homework With Handwritten Homework in Electrical and Computer Engineering Classes

IEEE TRANSACTIONS ON EDUCATION, 63(3), 209–215.

author keywords: Electronic mail; Software; Education; Standards; Electrical engineering; Testing; Programming; Effectiveness; handwritten homework; online homework; statistical analysis; traditional homework; WeBWorK
TL;DR: The result is that there is no significant statistical difference in the two modalities to predict final exam scores, indicating that the advantages of using the automated online system can be obtained with no detrimental effect on the students’ learning. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 24, 2020

2020 article

Sequential Optimization in Locally Important Dimensions

TECHNOMETRICS.

By: M. Winkel n, J. Stallrich n, C. Storlie* & B. Reich n

author keywords: Augmented expected improvement; Bayesian analysis; Computer experiments; Gaussian process; Local importance; Sequential design
TL;DR: A sequential design algorithm called sequential optimization in locally important dimensions (SOLID) is developed that incorporates global and local variable selection to optimize a continuous, differentiable function. (via Semantic Scholar)
Source: ORCID
Added: August 18, 2020

2020 journal article

Ascertaining properties of weighting in the estimation of optimal treatment regimes under monotone missingness

STATISTICS IN MEDICINE, 39(25), 3503–3520.

author keywords: augmented inverse probability weighting; dynamic treatment regimes; monotonic coarseness; outcome weighted learning; Q-learning
MeSH headings : Computer Simulation; Humans; Models, Statistical; Precision Medicine; Probability
TL;DR: The application of inverse probability weighted estimating equations as an alternative to multiple imputation in the context of monotonic missingness applies to a broad class of estimators of an optimal treatment regime including both Q‐learning and a generalization of outcome weighted learning. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 17, 2020

2020 article

A deep learning approach to identify smoke plumes in satellite imagery in near-real time for health risk communication

JOURNAL OF EXPOSURE SCIENCE AND ENVIRONMENTAL EPIDEMIOLOGY.

By: A. Larsen*, I. Hanigan*, B. Reich n, Y. Qin*, M. Cope*, G. Morgan*, A. Rappold*

MeSH headings : Air Pollutants / analysis; Australia; Communication; Deep Learning; Fires; Humans; Satellite Imagery; Smoke / analysis
TL;DR: A deep fully convolutional neural network (FCN) for predicting fire smoke in satellite imagery in near-real time (NRT) has high potential as an exposure-assessment tool, capable of providing critical information to fire managers, health and environmental agencies, and the general public. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 10, 2020

2020 journal article

Semiparametric estimation of the cure fraction in population-based cancer survival analysis

STATISTICS IN MEDICINE, 39(26), 3787–3805.

By: E. Gu*, J. Zhang*, W. Lu n, L. Wang* & F. Felizzi*

author keywords: Breslow estimator; EM algorithm; mixture cure model; perturbation; population-based study; semiparametric regression
MeSH headings : Aged; Algorithms; Computer Simulation; Female; Humans; Models, Statistical; Neoplasms / mortality; Proportional Hazards Models; Survival Analysis
TL;DR: Real data analysis shows that the proposed semiparametric MCPH+BM model may provide more accurate estimation in population‐level cancer study. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 10, 2020

2020 journal article

Estimating the drivers of species distributions with opportunistic data using mediation analysis

ECOSPHERE, 11(6).

By: D. Huberman n, B. Reich n, K. Pacifici n & J. Collazo n

author keywords: mediation analysis; occupancy modeling; opportunistic data; spatial statistics
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
15. Life on Land (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 10, 2020

2020 journal article

GRID: A VARIABLE SELECTION AND STRUCTURE DISCOVERY METHOD FOR HIGH DIMENSIONAL NONPARAMETRIC REGRESSION

ANNALS OF STATISTICS, 48(3), 1848–1874.

author keywords: Empirical likelihood; marginal testing; variable selection consistency
TL;DR: Methods for variable selection, structure discovery and estimation of the true low-dimensional regression function, allowing any degree of interactions among the relevant variables that need not be specified a-priori are developed. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 10, 2020

2020 journal article

ROBUST AND RATE-OPTIMAL GIBBS POSTERIOR INFERENCE ON THE BOUNDARY OF A NOISY IMAGE

ANNALS OF STATISTICS, 48(3), 1498–1513.

author keywords: Adaptation; boundary detection; likelihood-free inference; model misspecification; posterior concentration rate
TL;DR: A robust Gibbs approach is developed that constructs a posterior distribution for the image boundary directly, without modeling the pixel intensities, and it is proved that, for a suitable prior on theimage boundary, the Gibbs posterior concentrates asymptotically at the minimax optimal rate, adaptive to the boundary smoothness. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 10, 2020

2020 journal article

Genetic and environmental risk for lymphoma in boxer dogs

JOURNAL OF VETERINARY INTERNAL MEDICINE, 34(5), 2068–2077.

author keywords: canine; detoxification; exposure; lymphosarcoma
MeSH headings : Animals; Dog Diseases / genetics; Dogs; Genetic Predisposition to Disease; Genotype; Lymphoma / genetics; Lymphoma / veterinary; Risk Factors
TL;DR: Proximity to nuclear power plants, chemical suppliers, and crematoria were significant risk factors for lymphoma in this population of boxers and support the hypothesis that aggregate exposures to environmental chemicals and industrial waste may contribute to lymphoma risk in dogs. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 3, 2020

2020 journal article

Posterior contraction and credible sets for filaments of regression functions

ELECTRONIC JOURNAL OF STATISTICS, 14(1), 1707–1743.

By: W. Li & S. Ghosal

author keywords: Filament; nonparametric regression; posterior contraction; credibility; coverage; B-splines
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 3, 2020

2020 journal article

Central limit theorems for classical multidimensional scaling

ELECTRONIC JOURNAL OF STATISTICS, 14(1), 2362–2394.

author keywords: Classical multidimensional scaling; dissimilarity matrix; perturbation analysis; central limit theorem
TL;DR: It is shown that the resulting embedding gives rise to a central limit theorem for noisy dissimilarity measurements, and compelling simulation and real data illustration of this CLT for CMDS are provided. (via Semantic Scholar)
Source: Web Of Science
Added: August 3, 2020

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.