Works (30)

Updated: July 6th, 2023 21:15

2014 journal article

Flexible modeling of survival data with covariates subject to detection limits via multiple imputation

COMPUTATIONAL STATISTICS & DATA ANALYSIS, 69, 81–91.

By: P. Bernhardt n, H. Wang n & D. Zhang n

author keywords: Accelerated failure time model; Censored predictor; Complete case; Detection limit; Multiple imputation; Seminonparametric distribution
TL;DR: A computationally-efficient multiple imputation procedure for modeling survival data with covariates subject to detection limits is proposed in the context of an accelerated failure time model with a flexible seminonparametric error distribution. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2014 journal article

Interquantile shrinkage and variable selection in quantile regression

COMPUTATIONAL STATISTICS & DATA ANALYSIS, 69, 208–219.

By: L. Jiang n, H. Bondell n & H. Wang n

author keywords: Fused adaptive Lasso; Fused adaptive sup-norm; Oracle; Quantile regression; Smoothing; Variable selection
Source: Web Of Science
Added: August 6, 2018

2013 journal article

Estimation of Extreme Conditional Quantiles Through Power Transformation

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 108(503), 1062–1074.

By: H. Wang n & D. Li*

author keywords: Box Cox power transformation; Extreme value; Heavy-tailed distribution; High quantile; Quantile regression
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
Source: Web Of Science
Added: August 6, 2018

2013 journal article

Interquantile Shrinkage in Regression Models

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 22(4), 970–986.

By: L. Jiang*, H. Wang n & H. Bondell n

author keywords: Fused LASSO; Noncrossing; Oracle; Quantile regression; Smoothing; Sup-norm
TL;DR: The oracle properties of the two proposed penalization methods are established and it is demonstrated that the proposed methods lead to estimations with competitive or higher efficiency than the standard quantile regression estimation in finite samples. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2013 journal article

Variable selection for censored quantile regresion

Statistica Sinica, 23(1), 145–167.

By: H. Wang, J. Zhou & Y. Li

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

2013 journal article

Variable selection in quantile varying coefficient models with longitudinal data

COMPUTATIONAL STATISTICS & DATA ANALYSIS, 57(1), 435–449.

By: Y. Tang*, H. Wang n & Z. Zhu*

author keywords: Adaptive LASSO; Basis spline; Longitudinal data; Penalized estimation
TL;DR: It is shown that with properly chosen adaptive group weights in the penalization, the resulting penalized estimators are consistent in variable selection, and the estimated functional coefficients retain the optimal convergence rate of nonparametric estimators under the true model. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2012 journal article

A unified variable selection approach for varying coefficient models

Statistica Sinica, 22(2), 601–628.

By: Y. Tang, H. Wang, Z. Zhu & X. Song

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

2012 journal article

An informative subset-based estimator for censored quantile regression

TEST, 21(4), 635–655.

By: Y. Tang*, H. Wang n, X. He* & Z. Zhu*

author keywords: Asymptotic efficiency; Censoring probability; Fixed censoring; Informative subset; Nonparametric; Quantile regression
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

2012 journal article

Corrected-loss estimation for quantile regression with covariate measurement errors

BIOMETRIKA, 99(2), 405–421.

By: H. Wang*, L. Stefanski & Z. Zhu

author keywords: Corrected loss function; Laplace distribution; Measurement error; Normal distribution; Quantile regression; Smoothing
TL;DR: A new estimation approach based on corrected scores to account for a class of covariate measurement errors in quantile regression, which requires no parametric assumptions on the regression error distributions and is simple to implement. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2012 article

Editorial for the special issue on quantile regression and semiparametric methods

Fung, W.-K., He, X., Hubert, M., Portnoy, S., & Wang, H. J. (2012, April 1). COMPUTATIONAL STATISTICS & DATA ANALYSIS, Vol. 56, pp. 753–754.

By: W. Fung, X. He, M. Hubert, S. Portnoy & H. Wang*

TL;DR: This special issue focuses on the modeling and computational aspects of quantile regression and other semiparametric methods for modern data, which often have large numbers of observations and/or variables, and quantile analysis for multivariate data. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

2012 journal article

Estimation of High Conditional Quantiles for Heavy-Tailed Distributions

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 107(500), 1453–1464.

By: H. Wang n, D. Li* & X. He*

author keywords: Downscaling; Extrapolation; Extreme value; High quantile; Quantile regression
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
Source: Web Of Science
Added: August 6, 2018

2012 journal article

Multiple Imputation for M-Regression With Censored Covariates

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 107(497), 194–204.

By: H. Wang n & X. Feng*

author keywords: Censored predictor; Censored quantile regression; Detection limit; Imputation; Linear regression; M-estimator; Nonignorable missingness
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

2012 journal article

Quantile regression for competing risks data with missing cause of failure

Statistica Sinica, 22(2), 703–728.

By: Y. Sun, H. Wang & P. Gilbert

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

2012 journal article

Variance estimation in censored quantile regression via induced smoothing

COMPUTATIONAL STATISTICS & DATA ANALYSIS, 56(4), 785–796.

By: L. Pang n, W. Lu n & H. Wang n

author keywords: Censored quantile regression; Smoothing; Survival analysis; Variance estimation
Source: Web Of Science
Added: August 6, 2018

2011 journal article

Empirical likelihood for quantile regression models with longitudinal data

JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 141(4), 1603–1615.

By: H. Wang n & Z. Zhu*

author keywords: Bartlett correction; Confidence region; Estimating equation; Hypothesis test; Kernel smoothing; Quantile regression
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

2011 journal article

Identification of Differential Aberrations in Multiple-Sample Array CGH Studies

BIOMETRICS, 67(2), 353–362.

By: H. Wang* & J. Hu

author keywords: Array CGH; Change point; Common aberration; Copy number aberration; Fused lasso; Median regression; Segmentation
MeSH headings : Algorithms; Breast Neoplasms / genetics; Chromosome Aberrations; Comparative Genomic Hybridization / methods; Comparative Genomic Hybridization / statistics & numerical data; Computer Simulation; Female; Gene Dosage; Humans
TL;DR: This article develops a new penalized regression approach with a fused adaptive lasso penalty to accommodate the spatial dependence of the clones to simultaneously detect the common aberrant regions within each group, and the regions where the two groups differ in copy number changes. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2010 journal article

Effects of Mowing on Anthraquinone for Deterrence of Canada Geese

JOURNAL OF WILDLIFE MANAGEMENT, 74(8), 1863–1868.

By: C. Ayers, C. Moorman*, C. Deperno*, F. Yelverton n & H. Wang n

author keywords: Anthraquinone; Branta canadensis; Canada geese; FlightControl (R) PLUS; mowing; repellents; turfgrass
TL;DR: Results indicate that resident Canada goose use of FCP-treated turfgrass areas was lower than untreated areas even when chemical coverage on grass was 10%. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
14. Life Below Water (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2010 journal article

Estimation of the retransformed conditional mean in health care cost studies

BIOMETRIKA, 97(1), 147–158.

By: H. Wang n & X. Zhou*

author keywords: Conditional mean; Heteroscedastic regression model; Medical cost; Quantile regression; Skewed data; Two-part model
TL;DR: A distribution-free estimator of the conditional mean cost on the original scale is proposed using the appealing equivariance property of quantiles to monotone transformations to create a competitive and more robust estimator in various heteroscedastic models. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

2010 journal article

Flexible Bayesian quantile regression for independent and clustered data

BIOSTATISTICS, 11(2), 337–352.

By: B. Reich n, H. Bondell n & H. Wang n

author keywords: Bayesian semiparametric modeling; Clustered data; Quantile regression; Stick-breaking prior
MeSH headings : Algorithms; Apnea / physiopathology; Bayes Theorem; Biometry / methods; Cluster Analysis; Computer Simulation; Deglutition / physiology; Humans; Markov Chains; Models, Statistical; Monte Carlo Method; Regression Analysis; Statistical Distributions; Time Factors
TL;DR: This paper proposes a flexible Bayesian quantile regression model that assumes that the error distribution is an infinite mixture of Gaussian densities subject to a stochastic constraint that enables inference on the quantile of interest. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2010 journal article

Noncrossing quantile regression curve estimation

BIOMETRIKA, 97(4), 825–838.

By: H. Bondell n, B. Reich n & H. Wang n

author keywords: Crossing quantile curve; Heteroscedastic error; Quantile regression; Robustness; Smoothing spline; Tropical cyclone
TL;DR: A simple constrained version of quantile regression is proposed to avoid the crossing problem for both linear and nonparametric quantile curves. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2009 journal article

INFERENCE FOR CENSORED QUANTILE REGRESSION MODELS IN LONGITUDINAL STUDIES

ANNALS OF STATISTICS, 37(2), 756–781.

By: H. Wang n & M. Fygenson n

author keywords: Fixed censoring; logitudinal data; quantile regression; rank score test; tobit model; viral load
TL;DR: A rank score test for large sample inference on a subset of the covariates for differentiating the influences of predictors at different locations in the conditional distribution of a response variable is proposed. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

2009 journal article

Inference on quantile regression for heteroscedastic mixed models

Statistica Sinica, 19(3), 1247–1261.

By: H. Wang

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

2009 journal article

Influence of genetic background on tumor karyotypes: Evidence for breed-associated cytogenetic aberrations in canine appendicular osteosarcoma

CHROMOSOME RESEARCH, 17(3), 365–377.

By: R. Thomas n, H. Wang n, P. Tsai n, C. Langford*, S. Fosmire*, C. Jubala*, D. Getzy*, G. Cutter*, J. Modiano*, M. Breen n

author keywords: microarray; comparative genomic hybridization (CGH); canine; osteosarcoma; chromosome
MeSH headings : Animals; Chromosome Aberrations / veterinary; Comparative Genomic Hybridization; Dog Diseases / genetics; Dogs; Genetic Predisposition to Disease / genetics; Karyotyping / veterinary; Osteosarcoma / genetics; Osteosarcoma / veterinary; Species Specificity
TL;DR: Assessment of a cohort of Golden Retrievers and Rottweilers diagnosed with spontaneous appendicular osteosarcoma reveals significant correlations between breed and tumor karyotypes that are independent of gender, age at diagnosis, and histological classification. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2009 journal article

Locally Weighted Censored Quantile Regression

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 104(487), 1117–1128.

By: H. Wang n & L. Wang n

author keywords: Kaplan-Meier estimator; Kernel; Quantile regression; Random censoring; Semiparametric; Survival analysis
TL;DR: A new locally weighted censored quantile regression approach that adopts the redistribution-of-mass idea and employs a local reweighting scheme, and establishes the consistency and asymptotic normality of the proposed estimator. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2009 journal article

QUANTILE REGRESSION IN PARTIALLY LINEAR VARYING COEFFICIENT MODELS

ANNALS OF STATISTICS, 37(6B), 3841–3866.

By: H. Wang n, Z. Zhu n & J. Zhou n

author keywords: Basis spline; longitudinal data; marginal model; rank score test; semiparametric
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

2009 journal article

‘Putting our heads together’: insights into genomic conservation between human and canine intracranial tumors

Journal of Neuro-Oncology, 94(3), 333–349.

By: R. Thomas n, S. Duke n, H. Wang n, T. Breen n, R. Higgins*, K. Linder n, P. Ellis*, C. Langford* ...

author keywords: Comparative genomic hybridization; Canine; Brain tumor; Chromosome; Microarray
MeSH headings : Animals; Brain Neoplasms / genetics; Brain Neoplasms / pathology; Chromosome Aberrations; Chromosome Mapping; Chromosomes, Human, Pair 1; Chromosomes, Human, Pair 22; Cluster Analysis; Dogs; Female; Gene Expression Regulation, Neoplastic; Genome / genetics; Glioma / genetics; Glioma / pathology; Humans; In Situ Hybridization, Fluorescence; Male; Meningeal Neoplasms / genetics; Meningeal Neoplasms / pathology; Meningioma / genetics; Meningioma / pathology
TL;DR: A microarray-based comparative genomic hybridization analysis of 60 spontaneous canine intracranial tumors was performed to examine the degree to which dog and human patients exhibit aberrations of ancestrally related chromosome regions, consistent with a shared pathogenesis. (via Semantic Scholar)
UN Sustainable Development Goal Categories
15. Life on Land (OpenAlex)
Sources: Web Of Science, Crossref, NC State University Libraries
Added: August 6, 2018

2008 journal article

An enhanced quantile approach for assessing differential gene expressions

BIOMETRICS, 64(2), 449–457.

By: H. Wang* & X. He*

author keywords: GeneChip microarray; Information sharing; probe-level measurement; quantile regression; rank score test
MeSH headings : Algorithms; Biometry / methods; Computer Simulation; Data Interpretation, Statistical; Gene Expression Profiling / methods; Models, Statistical; Oligonucleotide Array Sequence Analysis / methods
TL;DR: The proposed enhanced quantile rank score test (EQRS) for detecting differential expression in GeneChip studies by analyzing the quantiles of gene intensity distributions through probe‐level measurements is proposed. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

2007 journal article

Detecting differential expressions in GeneChip microarray studies: A quantile approach

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 102(477), 104–112.

By: H. Wang n & X. He n

author keywords: gene expression; microarray data; quantile regression; random effect; rank score test
TL;DR: The methodology proposed is a first attempt to develop inferential tools for quantile regression in mixed models and shows that detecting differences in the quartiles for the probe level data is a valuable complement to the usual mixed model analysis based on Gaussian likelihood. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

2007 journal article

Mixture-model classification in DNA content analysis

CYTOMETRY PART A, 71A(9), 716–723.

By: H. Wang n & S. Huang*

author keywords: DNA content; high-content imaging; likelihood ratio test; mixture model; mixing proportion
MeSH headings : Cell Line; DNA / analysis; DNA Replication; Flow Cytometry; Humans; Likelihood Functions; Mitosis; Nocodazole / pharmacology; Statistics, Nonparametric
TL;DR: A restricted mixture model is proposed that is parameterized to incorporate the available biological information and outperforms the existing approaches in the estimation of the mixing proportions and gives biologically interpretable results; the proposed LR test demonstrates improved sensitivity and specificity for detecting changes in themix proportions. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2006 journal article

Comparative analysis and integrative classification of NC160 cell lines and primary tumors using gene expression profiling data

BMC Genomics, 7.

By: H. Wang, S. Huang, J. Shou, E. Su, J. Onyia, B. Liao, S. Li

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

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