• 1131 Citations
  • 19 h-Index
19982019
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Research Output 1998 2019

  • 1131 Citations
  • 19 h-Index
  • 100 Article
  • 1 Chapter
  • 1 Comment/debate
  • 1 Review article
2019

A consistent estimator for logistic mixed effect models

Wei, Y., Ma, Y., Garcia, T. P. & Sinha, S., Jun 1 2019, In : Canadian Journal of Statistics. 47, 2, p. 140-156 17 p.

Research output: Contribution to journalArticle

Mixed Effects Model
Consistent Estimator
Logistics
Random Effects
Covariates

A semiparametric efficient estimator in case-control studies for gene–environment independent models

Liang, L., Ma, Y. & Carroll, R. J., Sep 1 2019, In : Journal of Multivariate Analysis. 173, p. 38-50 13 p.

Research output: Contribution to journalArticle

Efficient Estimator
Case-control Study
Susceptibility
Gene-environment Interaction
Estimator

Locally efficient estimation in generalized partially linear model with measurement error in nonlinear function

Yang, G., Wang, Q. & Ma, Y., Jan 1 2019, In : Test.

Research output: Contribution to journalArticle

Partially Linear Model
Efficient Estimation
Generalized Linear Model
Nonlinear Function
Measurement Error

Locally efficient semiparametric estimators for a class of Poisson models with measurement error

Liu, J. & Ma, Y., Jun 1 2019, In : Canadian Journal of Statistics. 47, 2, p. 157-181 25 p.

Research output: Contribution to journalArticle

Poisson Model
Measurement Error
Estimator
Stroke
Parameter Estimation

MALMEM: model averaging in linear measurement error models

Zhang, X., Ma, Y. & Carroll, R. J., Jan 1 2019, In : Journal of the Royal Statistical Society. Series B: Statistical Methodology. 81, 4, p. 763-779 17 p.

Research output: Contribution to journalArticle

Model Averaging
Measurement Error Model
Averaging Method
Loss Function
Covariates

Multiple quantile modeling via reduced-rank regression

Lian, H., Zhao, W. & Ma, Y., Jan 1 2019, In : Statistica Sinica. 29, 3, p. 1439-1464 26 p.

Research output: Contribution to journalArticle

Reduced Rank Regression
Quantile
Modeling
Simultaneous Estimation
Quantile Regression

Semiparametric efficient estimators in heteroscedastic error models

Kim, M. & Ma, Y., Feb 1 2019, In : Annals of the Institute of Statistical Mathematics. 71, 1

Research output: Contribution to journalArticle

Heteroscedastic Errors
Heteroscedastic Model
Efficient Estimator
Error Model
Regression

Semiparametric estimation and inference of variance function with large dimensional covariates

Ma, Y. & Zhu, L., Jan 1 2019, In : Statistica Sinica. 29, 2, p. 567-588 22 p.

Research output: Contribution to journalArticle

Semiparametric Inference
Semiparametric Estimation
Efficient Estimator
Variance Function
Covariates

Semiparametric regression for measurement error model with heteroscedastic error

Li, M., Ma, Y. & Li, R., May 1 2019, In : Journal of Multivariate Analysis. 171, p. 320-338 19 p.

Research output: Contribution to journalArticle

Heteroscedastic Errors
Semiparametric Regression
Measurement Error Model
Measurement errors
Measurement Error
1 Citation (Scopus)

Simulation-Based Bias Correction Methods for Complex Models

Guerrier, S., Dupuis-Lozeron, E., Ma, Y. & Victoria-Feser, M. P., Jan 2 2019, In : Journal of the American Statistical Association. 114, 525, p. 146-157 12 p.

Research output: Contribution to journalArticle

Bias Correction
Indirect Inference
Estimator
Simulation
Inconsistent

Sufficient direction factor model and its application to gene expression quantitative trait loci discovery

Jiang, F., Ma, Y. & Wei, Y., Jan 1 2019, In : Biometrika. 106, 2, p. 417-432 16 p., asz010.

Research output: Contribution to journalArticle

Quantitative Trait Loci
Factor Models
Gene expression
Gene Expression
Single Nucleotide Polymorphism
2018
1 Citation (Scopus)

An alternative robust estimator of average treatment effect in causal inference

Liu, J., Ma, Y. & Wang, L., Sep 1 2018, In : Biometrics. 74, 3, p. 910-923 14 p.

Research output: Contribution to journalArticle

Average Treatment Effect
Causal Inference
Propensity Score
Robust Estimators
Alternatives

An Optimal Semiparametric Method for Two-group Classification

Baek, S., Komori, O. & Ma, Y., Sep 1 2018, In : Scandinavian Journal of Statistics. 45, 3, p. 806-846 41 p.

Research output: Contribution to journalArticle

Semiparametric Methods
Group Classification
Linear Discriminant Function
Statistic
Variance-covariance Matrix

Dimension reduction and estimation in the secondary analysis of case-control studies

Liang, L., Carroll, R. & Ma, Y., Jan 1 2018, In : Electronic Journal of Statistics. 12, 1, p. 1782-1821 40 p.

Research output: Contribution to journalArticle

Case-control Study
Dimension Reduction
Covariates
Case-control
Regression

Functional prediction through averaging estimated functional linear regression models

Zhang, X., Chiou, J. M. & Ma, Y., Dec 1 2018, In : Biometrika. 105, 4, p. 945-962 18 p.

Research output: Contribution to journalArticle

Linear Regression Model
Linear regression
Model Averaging
Averaging
Linear Models

Kernel-based adaptive randomization toward balance in continuous and discrete covariates

Jiang, F., Ma, Y. & Yin, G., Oct 1 2018, In : Statistica Sinica. 28, 4, p. 2841-2856 16 p.

Research output: Contribution to journalArticle

Randomisation
Covariates
kernel
Biased Coin Design
Prognostic Factors
4 Citations (Scopus)

Optimal pseudolikelihood estimation in the analysis of multivariate missing data with nonignorable nonresponse

Zhao, J. & Ma, Y., Jun 1 2018, In : Biometrika. 105, 2, p. 479-486 8 p.

Research output: Contribution to journalArticle

Pseudo-likelihood
Non-response
Multivariate Data
probability distribution
Missing Data

Optimal quantile level selection for disease classification and biomarker discovery with application to electrocardiogram data

Zhou, Y., Huang, R., Yu, S. & Ma, Y., Nov 1 2018, In : Statistical Methods in Medical Research. 27, 11, p. 3340-3349 10 p.

Research output: Contribution to journalArticle

Biomarkers
Quantile
Electrocardiography
Selection Procedures
Biomedical Research
1 Citation (Scopus)

Semiparametrically efficient estimation in quantile regression of secondary analysis

Liang, L., Ma, Y., Wei, Y. & Carroll, R. J., Sep 1 2018, In : Journal of the Royal Statistical Society. Series B: Statistical Methodology. 80, 4, p. 625-648 24 p.

Research output: Contribution to journalArticle

Quantile Regression
Efficient Estimation
Covariates
Regression Model
Median Regression
2017
2 Citations (Scopus)

Analysis of Double Single Index Models

Chen, K. & Ma, Y., Mar 1 2017, In : Scandinavian Journal of Statistics. 44, 1, p. 1-20 20 p.

Research output: Contribution to journalArticle

Single-index Model
Covariates
Reduced Rank Regression
Sufficient Dimension Reduction
Multivariate Response
Semiparametric Methods
Survival Analysis
Clinical Trials
Data analysis
Moment
1 Citation (Scopus)

A Semiparametric Single-Index Risk Score Across Populations

Ma, S., Ma, Y., Wang, Y., Kravitz, E. S. & Carroll, R. J., Oct 2 2017, In : Journal of the American Statistical Association. 112, 520, p. 1648-1662 15 p.

Research output: Contribution to journalArticle

Single-index Model
Epidemiology
Asymptotic Theory
Scale Parameter
B-spline
1 Citation (Scopus)

Efficient dimension reduction for multivariate response data

Zhang, Y., Zhu, L. & Ma, Y., Mar 1 2017, In : Journal of Multivariate Analysis. 155, p. 187-199 13 p.

Research output: Contribution to journalArticle

Multivariate Response
Dimension Reduction
Parameterization
Dimension-reduction Subspaces
Inverse Regression
Single-index Model
Figure
Statistics
Scatter diagram
Data analysis
2 Citations (Scopus)

Estimation and inference of error-prone covariate effect in the presence of confounding variables

Liu, J., Ma, Y., Zhu, L. & Carroll, R. J., Jan 1 2017, In : Electronic Journal of Statistics. 11, 1, p. 480-501 22 p.

Research output: Contribution to journalArticle

Confounding
Covariates
Bias Reduction
Measurement Error Model
Bias Correction
1 Citation (Scopus)

Linear Model Selection When Covariates Contain Errors

Zhang, X., Wang, H., Ma, Y. & Carroll, R. J., Oct 2 2017, In : Journal of the American Statistical Association. 112, 520, p. 1553-1561 9 p.

Research output: Contribution to journalArticle

Model Selection
Covariates
Linear Model
Measurement Error
Selection Procedures
1 Citation (Scopus)

Nonparametric distribution estimation in the presence of familial correlation and censoring

Xu, K., Ma, Y. & Wang, Y., Jan 1 2017, In : Electronic Journal of Statistics. 11, 1, p. 1928-1948 21 p.

Research output: Contribution to journalArticle

Censoring
Mutation
Gene
Phenotype
Estimator

Predicting disease risk by transformation models in the presence of unspecified subgroup membership

Wang, Q., Ma, Y. & Wang, Y., Oct 1 2017, In : Statistica Sinica. 27, 4, p. 1857-1878 22 p.

Research output: Contribution to journalArticle

Transformation Model
Covariates
Subgroup
Nonparametric Maximum Likelihood
EM Algorithm
2 Citations (Scopus)

Robust mixed effects model for clustered failure time data: Application to Huntington’s disease event measures

Garcia, T. P., Ma, Y., Marder, K. & Wang, Y., Jun 1 2017, In : Annals of Applied Statistics. 11, 2, p. 1085-1116 32 p.

Research output: Contribution to journalArticle

Failure Time Data
Mixed Effects Model
Clustered Data
Covariates
Random Effects

Semiparametric analysis of complex polygenic gene-environment interactions in case-control studies

Stalder, O., Asher, A., Liang, L., Carroll, R. J., Ma, Y. & Chatterjee, N., Dec 1 2017, In : Biometrika. 104, 4, p. 801-812 12 p.

Research output: Contribution to journalArticle

Gene-environment Interaction
Gene-Environment Interaction
Case-control Study
genotype-environment interaction
case-control studies
1 Citation (Scopus)

Simultaneous treatment of unspecified heteroskedastic model error distribution and mismeasured covariates for restricted moment models

Garcia, T. P. & Ma, Y., Oct 1 2017, In : Journal of Econometrics. 200, 2, p. 194-206 13 p.

Research output: Contribution to journalArticle

Covariates
Estimator
Regression model
Efficient estimation
Empirical results
2016
2 Citations (Scopus)

Analysis of Proportional Odds Models With Censoring and Errors-in-Covariates

Sinha, S. & Ma, Y., Jul 2 2016, In : Journal of the American Statistical Association. 111, 515, p. 1301-1312 12 p.

Research output: Contribution to journalArticle

Proportional Odds Model
Censoring
Covariates
Estimator
Measurement Error
2 Citations (Scopus)

A predictive based regression algorithm for gene network selection

Guerrier, S., Mili, N., Molinari, R., Orso, S., Avella-Medina, M. & Ma, Y., Jun 15 2016, In : Frontiers in Genetics. 7, JUN, 97.

Research output: Contribution to journalArticle

Gene Regulatory Networks
Likelihood Functions
Genes
Gene Expression
Research
3 Citations (Scopus)

Optimal Estimator for Logistic Model with Distribution-free Random Intercept

Garcia, T. P. & Ma, Y., Mar 1 2016, In : Scandinavian Journal of Statistics. 43, 1, p. 156-171 16 p.

Research output: Contribution to journalArticle

Distribution-free
Logistic Model
Intercept
Estimator
Clustered Data
5 Citations (Scopus)

Robust nonparametric kernel regression estimator

Zhao, G. & Ma, Y., Sep 1 2016, In : Statistics and Probability Letters. 116, p. 72-79 8 p.

Research output: Contribution to journalArticle

Kernel Regression
Trimming
Regression Estimator
Kernel Estimator
Nonparametric Regression
8 Citations (Scopus)

Semiparametric estimation in the secondary analysis of case–control studies

Ma, Y. & Carroll, R. J., Jan 1 2016, In : Journal of the Royal Statistical Society. Series B: Statistical Methodology. 78, 1, p. 127-151 25 p.

Research output: Contribution to journalArticle

Semiparametric Estimation
Case-control Study
Regression
Estimator
Covariates
2015
8 Citations (Scopus)

A validated information criterion to determine the structural dimension in dimension reduction models

Ma, Y. & Zhang, X., Jan 1 2015, In : Biometrika. 102, 2, p. 409-420 12 p.

Research output: Contribution to journalArticle

Information Criterion
Dimension Reduction
Sufficient Dimension Reduction
Model
Model Evaluation
7 Citations (Scopus)

Difference-based variance estimation in nonparametric regression with repeated measurement data

Dai, W., Ma, Y., Tong, T. & Zhu, L., Aug 1 2015, In : Journal of Statistical Planning and Inference. 163, p. 1-20 20 p.

Research output: Contribution to journalArticle

Repeated Measurements
Variance Estimation
Nonparametric Regression
Estimator
Sample variance

Discussion

Ma, Y., Aug 1 2015, In : International Statistical Review. 83, 2, p. 207-211 5 p.

Research output: Contribution to journalArticle

5 Citations (Scopus)

Flexible estimation of a semiparametric two-component mixture model with one parametric component

Ma, Y. & Yao, W., Jan 1 2015, In : Electronic Journal of Statistics. 9, p. 444-474 31 p.

Research output: Contribution to journalArticle

Component Model
Mixture Model
Semiparametric Model
Estimator
Efficient Estimator
17 Citations (Scopus)

Functional and Structural Methods With Mixed Measurement Error and Misclassification in Covariates

Yi, G. Y., Ma, Y., Spiegelman, D. & Carroll, R. J., Apr 3 2015, In : Journal of the American Statistical Association. 110, 510, p. 681-696 16 p.

Research output: Contribution to journalArticle

Misclassification
Measurement Error
Covariates
Imprecision
Generalized Linear Model
1 Citation (Scopus)

Fused kernel-spline smoothing for repeatedly measured outcomes in a generalized partially linear model with functional single index

Jiang, F., Ma, Y. & Wang, Y., Oct 1 2015, In : Annals of Statistics. 43, 5, p. 1929-1958 30 p.

Research output: Contribution to journalArticle

Spline Smoothing
Partially Linear Model
Kernel Smoothing
Generalized Linear Model
Regression Splines
3 Citations (Scopus)

Instrument assisted regression for errors in variables models with binary response

Xu, K., Ma, Y. & Wang, L., Mar 1 2015, In : Scandinavian Journal of Statistics. 42, 1, p. 104-117 14 p.

Research output: Contribution to journalArticle

Errors-in-variables Model
Binary Response
Regression
Errors in Variables
Binary Variables

Predicting cumulative risk of disease onset by redistributing weights

Chen, T., Ma, Y. & Wang, Y., Jul 20 2015, In : Statistics in Medicine. 34, 16, p. 2427-2443 17 p.

Research output: Contribution to journalArticle

Huntington Disease
Weights and Measures
Censoring
Time-varying
Cytosine
5 Citations (Scopus)

Smoothed and Corrected Score Approach to Censored Quantile Regression With Measurement Errors

Wu, Y., Ma, Y. & Yin, G., Oct 2 2015, In : Journal of the American Statistical Association. 110, 512, p. 1670-1683 14 p.

Research output: Contribution to journalArticle

Corrected Score
Censored Regression
Quantile Regression
Measurement Error
Covariates
2014
4 Citations (Scopus)

Combining isotonic regression and EM algorithm to predict genetic risk under monotonicity constraint

Qin, J., Garcia, T. P., Ma, Y., Tang, M. X., Marder, K. & Wang, Y., Jan 1 2014, In : Annals of Applied Statistics. 8, 2, p. 1182-1208 27 p.

Research output: Contribution to journalArticle

Isotonic Regression
EM Algorithm
Monotonicity
Mutation
Predict
2 Citations (Scopus)

Effective use of multiple error-prone covariate measurements in capture-recapture models

Xu, K. & Ma, Y., Oct 1 2014, In : Statistica Sinica. 24, 4, p. 1529-1546 18 p.

Research output: Contribution to journalArticle

Capture-recapture
Measurement Error
Covariates
Generalized Method of Moments
Sufficient Statistics
5 Citations (Scopus)
Distribution Function
Mutation
Weighted Least Squares Estimator
Estimator
Nonparametric Methods
1 Citation (Scopus)

Nonparametric modeling and analysis of association between huntington's disease onset and CAG repeats

Ma, Y. & Wang, Y., Apr 15 2014, In : Statistics in Medicine. 33, 8, p. 1369-1382 14 p.

Research output: Contribution to journalArticle

Huntington Disease
Modeling
Age of Onset
Logistic Model
Logistic Models
18 Citations (Scopus)

On estimation efficiency of the central mean subspace

Ma, Y. & Zhu, L., Nov 1 2014, In : Journal of the Royal Statistical Society. Series B: Statistical Methodology. 76, 5, p. 885-901 17 p.

Research output: Contribution to journalArticle

Subspace
Sufficient Dimension Reduction
Efficient Estimator
Variance Components
Higher Dimensions