Yi-Hau Chen

发表

Computationally efficient Monte Carlo EM algorithms for generalized linear mixed models

Yi-Hau Chen, Yi-Hau Chen, 2006 .

Constrained Maximum Likelihood Estimation for Model Calibration Using Summary-Level Information From External Big Data Sources

R. Carroll, N. Chatterjee, P. Maas, 2016, Journal of the American Statistical Association.

Semiparametric marginal regression analysis for dependent competing risks under an assumed copula

Yi-Hau Chen, 2010 .

Survival Prediction Based on Compound Covariate under Cox Proportional Hazard Models

Hsuan-Yu Chen, T. Emura, Yi-Hau Chen, 2012, PloS one.

Gene Selection and Survival Prediction Under Dependent Censoring

T. Emura, Yi-Hau Chen, 2018 .

The Logistic Regression Model for Gene–Environment Interactions Using Both Case‐Parent Trios and Unrelated Case–Controls

Chao-Yu Guo, Yi-Hau Chen, Yujing Chen, 2014, Annals of human genetics.

Multinomial logistic regression approach to haplotype association analysis in population-based case-control studies

J. Kao, Yi-Hau Chen, Jau-Tsuen Kao, 2006, BMC Genetics.

Testing goodness‐of‐fit for the proportional hazards model based on nested case–control data

Wenbin Lu, Yi-Hau Chen, Mengling Liu, 2014, Biometrics.

Using shared genetic controls in studies of gene-environment interactions.

R. Carroll, N. Chatterjee, Yi-Hau Chen, 2013, Biometrika.

Analysis of Survival Data Under an Assumed Copula

T. Emura, Yi-Hau Chen, 2018 .

Semiparametric regression analysis of recurrent gap times in the presence of competing risks

Yi-Hau Chen, Chia-Hui Huang, Y. Chuang, 2017 .

Regression analysis for bivariate gap time with missing first gap time data

Yi-Hau Chen, Chia-Hui Huang, 2017, Lifetime data analysis.

A class of semiparametric transformation models for survival data with a cured proportion

Xuelin Huang, Yi-Hau Chen, Sangbum Choi, 2014, Lifetime data analysis.

Model selection for semiparametric marginal mean regression accounting for within‐cluster subsampling variability and informative cluster size

Chung-Wei Shen, Yi-Hau Chen, 2018, Biometrics.

Semiparametric analysis of incomplete current status outcome data under transformation models

C. Wen, Yi-Hau Chen, 2014, Biometrics.

A Novel Regression Analysis Method for Randomly Truncated Strong-Motion Data

Yi-Hau Chen, S. Chao, 2019, Earthquake Spectra.

Incomplete covariates data in generalized linear models

Yi-Hau Chen, Hung Chen, 1999 .

Optimal linear combination of biomarkers for multi‐category diagnosis

Yi-Hau Chen, Man-Jen Hsu, 2016, Statistics in medicine.

Pseudo and conditional score approach to joint analysis of current count and current status data

C. Wen, Yi-Hau Chen, 2018, Biometrics.

Non-parametric Maximum Likelihood Estimation for Case-Cohort and Nested Case-Control Designs with Competing Risks Data

I. Chang, Yi-Hau Chen, Jie-Huei Wang, 2020, Statistical Modeling in Biomedical Research.

Analyzing recurrent and nonrecurrent terminal events data in discrete time

C. Wen, Yi-Hau Chen, 2022, Biometrical journal. Biometrische Zeitschrift.

A FRAILTY MODEL APPROACH FOR REGRESSION ANALYSIS OF BIVARIATE INTERVAL-CENSORED SURVIVAL DATA

C. Wen, Yi-Hau Chen, 2013 .

Analysis of Survival Data with Dependent Censoring: Copula-Based Approaches

T. Emura, Yi-Hau Chen, 2018 .

Classes of life distributions and renewal counting process

Yi-Hau Chen, 1994, Journal of Applied Probability.

Maximum likelihood analysis of semicompeting risks data with semiparametric regression models

Yi-Hau Chen, 2011, Lifetime Data Analysis.

Regression analysis for bivariate gap time with missing first gap time data

Yi-Hau Chen, Chia-Hui Huang, 2016, Lifetime Data Analysis.

Maximum likelihood analysis of semicompeting risks data with semiparametric regression models

Yi-Hau Chen, Yi-Hau Chen, 2012, Lifetime data analysis.

Composite marginal quantile regression analysis for longitudinal adolescent body mass index data

Hsing-Yi Chang, Yi-Hau Chen, Chi-chuan Yang, 2017, Statistics in medicine.

A unified approach to regression analysis under double‐sampling designs

Yi-Hau Chen, Yi-Hau Chen, Hung Chen, 2000 .

Two‐stage analysis for gene‐environment interaction utilizing both case‐only and family‐based analysis

Yi-Hau Chen, Huimei Liu, Hui-Wen Lin, 2009, Genetic epidemiology.

Simple association analysis combining data from trios/sibships and unrelated controls

Yi-Hau Chen, Hui-Wen Lin, Hui-wen Lin, 2008, Genetic epidemiology.

A method for analyzing clustered interval‐censored data based on Cox's model

Yi-Hau Chen, K. Cheng, Yi-Hau Chen, 2013, Statistics in medicine.

The association between migraine and depression based on miRNA biomarkers and cohort studies.

Yi-Hau Chen, Hsiuying Wang, 2020, Current medicinal chemistry.

The association between depression and gastroesophageal reflux based on phylogenetic analysis of miRNA biomarkers.

Yi-Hau Chen, Hsiuying Wang, 2020, Current medicinal chemistry.

Joint regression analysis of marginal quantile and quantile association: application to longitudinal body mass index in adolescents

Hsing-Yi Chang, Yi-Hau Chen, Chi-chuan Yang, 2017 .

Overlapping group screening for detection of gene-environment interactions with application to TCGA high-dimensional survival genomic data

Yi-Hau Chen, Jie-Huei Wang, Kang-Hsin Wang, 2022, BMC Bioinformatics.

Miscellanea. A robust imputation method for surrogate outcome data

Yi-Hau Chen, 2000 .

A Unifying Approach to the Ruin Problems Under the Compound Binomial Model

Yi-Hau Chen, Li-juan Sun, Li-juan Sun, 2011, Modeling Risk Management for Resources and Environment in China.

Case-cohort analysis with semiparametric transformation models

Yi-Hau Chen, David M. Zucker, D. Zucker, 2009 .

The Path Effect in Ground-Motion Variability: An Application of the Variance-Components Technique

Yi-Hau Chen, Chia-Hsin Liu, Chu-Chuan Peter Tsai, 2006 .

A Pseudoscore Estimator for Regression Problems With Two-Phase Sampling

Yi-Hau Chen, Nilanjan Chatterjee, Norman E. Breslow, 2003 .

Cox regression in cohort studies with validation sampling

Yi-Hau Chen, Yi-Hau Chen, 2001 .

Model selection for marginal regression analysis of longitudinal data with missing observations and covariate measurement error.

Chung-Wei Shen, Yi-Hau Chen, Chung-Wei Shen, 2015, Biostatistics.

Assessing age‐at‐onset risk factors with incomplete covariate current status data under proportional odds models

Yi-Hau Chen, Chi-Chung Wen, C. Wen, 2013, Statistics in medicine.

FUNCTIONAL INFERENCE FOR INTERVAL-CENSORED DATA IN PROPORTIONAL ODDS MODEL WITH COVARIATE MEASUREMENT ERROR

Yi-Hau Chen, Yi-Hau Chen, 2013 .

Introduction to Survival Analysis

T. Emura, Yi-Hau Chen, 2018 .

Copula Models for Dependent Censoring

T. Emura, Yi-Hau Chen, 2018 .

Gene selection for survival data under dependent censoring: A copula-based approach

Yi-Hau Chen, Takeshi Emura, T. Emura, 2016, Statistical methods in medical research.

Joint model selection of marginal mean regression and correlation structure for longitudinal data with missing outcome and covariates

Chung-Wei Shen, Yi-Hau Chen, Chung-Wei Shen, 2018, Biometrical journal. Biometrische Zeitschrift.

Model Selection for Generalized Estimating Equations Accommodating Dropout Missingness

Chung-Wei Shen, Yi-Hau Chen, Chung-Wei Shen, 2012, Biometrics.

Quantile function regression analysis for interval censored data, with application to salary survey data

Yi-Hau Chen, Chi-Chung Wen, Chih-Yuan Hsu, 2021, Japanese Journal of Statistics and Data Science.

Extensions of the distributed lag non-linear model (DLNM) to account for cumulative mortality

Chao-Yu Guo, Yi-Hau Chen, Xingshou Huang, 2021, Environmental Science and Pollution Research.

The Multivariate Distributed Lag Non-Linear Model (MVDLNM) that Accommodates Cumulative Outcomes

Chao-Yu Guo, Yi-Hau Chen, Xingshou Huang, 2020 .

Estimating links of a network from time to event data

Yi-Hau Chen, Tso-Jung Yen, Jing-Shiang Hwang, 2017 .

Nonparametric maximum likelihood analysis of clustered current status data with the gamma-frailty Cox model

Yi-Hau Chen, Chi-Chung Wen, C. Wen, 2011, Comput. Stat. Data Anal..

Model selection of generalized estimating equations with multiply imputed longitudinal data

Chung-Wei Shen, Yi-Hau Chen, Chung-Wei Shen, 2013, Biometrical journal. Biometrische Zeitschrift.

The Optimal Machine Learning-Based Missing Data Imputation for the Cox Proportional Hazard Model

Chao-Yu Guo, Yi-Hau Chen, Yinghua Yang, 2021, Frontiers in Public Health.

Exploring Diversity of COVID‑19 Based on Substitution Distance

Yi-Hau Chen, Hsiuying Wang, 2020, Infection and drug resistance.

Overlapping group screening for detection of gene-gene interactions: application to gene expression profiles with survival trait

Yi-Hau Chen, Jie-Huei Wang, 2018, BMC Bioinformatics.

Interaction screening by Kendall's partial correlation for ultrahigh-dimensional data with survival trait

Yi-Hau Chen, Jie-Huei Wang, Yi-Hau Chen, 2020, Bioinform..

Network-adjusted Kendall's Tau Measure for Feature Screening with Application to High-dimensional Survival Genomic Data

Yi-Hau Chen, Jie-Huei Wang, Yi-Hau Chen, 2021, Bioinform..

A New Method for Estimation of the Attenuation Relationship with Variance Components

Yi-Hau Chen, Chu-Chuan Peter Tsai, Yi-Hau Chen, 2002 .

Implementing horizontal-to-vertical Fourier spectral ratios and spatial correlation in a ground-motion prediction equation to predict site effects

K. Wen, Yi-Hau Chen, Che-Min Lin, 2020, Earthquake Spectra.

Substitution Model Distance Analysis for SARS-CoV-2 in China, USA, and Europe (Preprint)

Yi-Hau Chen, Hsiuying Wang, 2020 .

A knowledge-based T2-statistic to perform pathway analysis for quantitative proteomic data

Yi-Hau Chen, En-Yu Lai, Kun-Pin Wu, 2017, PLoS Comput. Biol..

Discrete‐time survival data with longitudinal covariates

C. Wen, Yi-Hau Chen, 2020, Statistics in medicine.

New approach to association testing in case‐parent designs under informative parental missingness

Yi-Hau Chen, Yi-Hau Chen, 2004, Genetic epidemiology.

Shrinkage Estimators for Robust and Efficient Inference in Haplotype-Based Case-Control Studies

Raymond J Carroll, Yi-Hau Chen, Nilanjan Chatterjee, 2009, Journal of the American Statistical Association.

Regularized approach for data missing not at random

Yi-Hau Chen, Chi-Hong Tseng, C. Tseng, 2019, Statistical methods in medical research.

Model selection of generalized estimating equations with multiply imputed longitudinal data.

Chung-Wei Shen, Yi-Hau Chen, 2013, Biometrical journal. Biometrische Zeitschrift.

A semiparametric pseudo-score method for analysis of two-phase studies with continuous phase-I covariates

Yi-Hau Chen, Nilanjan Chatterjee, N. Chatterjee, 2007, Lifetime data analysis.

SAMPLE SIZE AND OPTIMAL DESIGNS IN STRATIFIED COMPARATIVE TRIALS TO ESTABLISH THE EQUIVALENCE OF TREATMENT EFFECTS AMONG TWO ETHNIC GROUPS

Yi-Hau Chen, Mey Wang, 2002, Journal of biopharmaceutical statistics.

Weighted Breslow-type and maximum likelihood estimation in semiparametric transformation models

Yi-Hau Chen, 2009 .

A FRAILTY MODEL APPROACH FOR REGRESSION ANALYSIS OF BIVARIATE INTERVAL-CENSORED SURVIVAL DATA

C. Wen, Yi-Hau Chen, 2013 .

Statistica Sinica Preprint No : SS-2015-0347 R 2 Title Semiparametric regression

Yi-Hau Chen, Chia-Hui Huang, Y. Chuang, 2016 .

Semiparametric copula‐based analysis for treatment effects in the presence of treatment switching

Chia-Hui Huang, Yi-Hau Chen, Jinn-Li Wang, 2020, Statistics in medicine.

Subdistribution Regression for Recurrent Events Under Competing Risks: with Application to Shunt Thrombosis Study in Dialysis Patients

Yi-Hau Chen, Weijing Wang, Chia-Hui Huang, 2017 .

A class of semiparametric transformation models for survival data with a cured proportion

Xuelin Huang, Yi-Hau Chen, Sangbum Choi, 2013, Lifetime Data Analysis.

Statistica Sinica Preprint No: SS-2022-0320

Yi-Hau Chen, Statistica Sinica, Chi-Chung Wen, 2023 .

Sample size determination for semiparametric analysis of current status data

C. Wen, Yi-Hau Chen, 2019, Statistical methods in medical research.

Analysis of Case-Control Association Studies: SNPs, Imputation and Haplotypes.

R. Carroll, N. Chatterjee, S. Luo, 2009, Statistical science : a review journal of the Institute of Mathematical Statistics.