Jian Huang

发表

Asymptotic properties of bridge estimators in sparse high-dimensional regression models

J. Horowitz, Jian Huang, Shuangge Ma, 2008, 0804.0693.

Adaptive Lasso for sparse high-dimensional regression models

Cun-Hui Zhang, Jian Huang, Shuangge Ma, 2008 .

Asymptotic oracle properties of SCAD-penalized least squares estimators

Jian Huang, Huiliang Xie, 2007, 0709.0863.

The sparsity and bias of the Lasso selection in high-dimensional linear regression

Cun-Hui Zhang, Jian Huang, 2008, 0808.0967.

ORACLE INEQUALITIES FOR THE LASSO IN THE COX MODEL.

Cun-Hui Zhang, Z. Ying, Jian Huang, 2013, Annals of statistics.

LASSO Method for Additive Risk Models with High Dimensional Covariates

Jian Huang, Shuangge Ma, 2005 .

Semismooth Newton Coordinate Descent Algorithm for Elastic-Net Penalized Huber Loss Regression and Quantile Regression

Jian Huang, Congrui Yi, 2015, 1509.02957.

Combining Multiple Markers for Classification Using ROC

Jian Huang, Shuangge Ma, 2007, Biometrics.

VARIABLE SELECTION IN NONPARAMETRIC ADDITIVE MODELS.

J. Horowitz, Jian Huang, Fengrong Wei, 2010, Annals of statistics.

Incorporating group correlations in genome-wide association studies using smoothed group Lasso.

Jian Huang, Shuangge Ma, Jin Liu, 2013, Biostatistics.

Estimation of the mean function with panel count data using monotone polynomial splines

Jian Huang, Minggen Lu, Ying Zhang, 2007 .

The cross-validated AUC for MCP-logistic regression with high-dimensional data

Jian Huang, Ying Zhang, Dingfeng Jiang, 2013, Statistical methods in medical research.

A group bridge approach for variable selection

Cun-Hui Zhang, Jian Huang, Huiliang Xie, 2009, Biometrika.

A Two-Way Semilinear Model for Normalization and Analysis of cDNA Microarray Data

Jian Huang, Cun-Hui Zhang, Cun-Hui Zhang, 2005 .

LPG: A four-group probabilistic approach to leveraging pleiotropy in genome-wide association studies

Jian Huang, Jin Liu, Can Yang, 2018, BMC Genomics.

Consistent group selection in high-dimensional linear regression.

Jian Huang, Fengrong Wei, 2010, Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability.

VARIABLE SELECTION AND ESTIMATION IN HIGH-DIMENSIONAL VARYING-COEFFICIENT MODELS.

Jian Huang, Fengrong Wei, Hongzhe Li, 2011, Statistica Sinica.

Efficient estimation of the partly linear additive Cox model

Jian Huang, 1999 .

Concave 1-norm group selection.

Jian Huang, Dingfeng Jiang, 2015, Biostatistics.

Asymptotic normality of the NPMLE of linear functionals for interval censored data, case 1

Jian Huang, Jon A. Wellner, J. Wellner, 1995 .

Gene network-based cancer prognosis analysis with sparse boosting.

Jian Huang, Shuangge Ma, Kuangnan Fang, 2012, Genetics research.

A Spline‐Based Semiparametric Maximum Likelihood Estimation Method for the Cox Model with Interval‐Censored Data

Jian Huang, Lei Hua, Ying-Ying Zhang, 2010 .

Estimating high‐dimensional additive Cox model with time‐dependent covariate processes

Jian Huang, Fanyin Zhou, Huazhen Lin, 2018 .

ON THE BOOTSTRAP OF THE MAXIMUM SCORE ESTIMATOR

Jian Huang, Jason Abrevaya, Jian Huang, 2005 .

Estimation of a Monotone Density or Monotone Hazard Under Random Censoring

Jian Huang, Jon A. Wellner, J. Wellner, 1995 .

Identification of cancer genomic markers via integrative sparse boosting.

Jian Huang, Shuangge Ma, Ben-Chang Shia, 2012, Biostatistics.

Identification of genes associated with multiple cancers via integrative analysis

Jian Huang, Shuangge Ma, Jian Huang, 2009, BMC Genomics.

Bayesian inference for high‐dimensional linear regression under mnet priors

Jian Huang, Aixin Tan, Jian Huang, 2016 .

Model pursuit and variable selection in the additive accelerated failure time model

Jian Huang, Li Liu, Yanyan Liu, 2020, Statistical Papers.

Identifying gene‐gene interactions using penalized tensor regression

Jian Huang, Shuangge Ma, Mengyun Wu, 2018, Statistics in medicine.

Statistica Sinica Preprint No : SS-2016-0449 . R 2 Title Inference for Low-Dimensional Covariates in a High-Dimensional Accelerated Failure

Jian Huang, Shuangge Ma, Qingzhao Zhang, 2017 .

Sieve estimation of Cox models with latent structures

Jian Huang, Xingqiu Zhao, Yanyan Liu, 2016, Biometrics.

Penalized multivariate linear mixed model for longitudinal genome-wide association studies

Jian Huang, Shuangge Ma, Jin Liu, 2014, BMC Proceedings.

A Penalized Multi-trait Mixed Model for Association Mapping in Pedigree-based GWAS

Hongyu Zhao, Jian Huang, Shuangge Ma, 2013, 1305.4413.

Semi-Penalized Inference with Direct False Discovery Rate Control in High-Dimensions

Cun-Hui Zhang, Jian Huang, Shuangge Ma, 2013, 1311.7455.

Penalized Methods for Multiple Outcome Data in Genome-Wide Association Studies

Jian Huang, Shuangge Ma, Jin Liu, 2011 .

Genetic linkage analysis of a dichotomous trait incorporating a tightly linked quantitative trait in affected sib pairs.

Jian Huang, Yanming Jiang, 2003, American journal of human genetics.

The consistency of the posterior probability of linkage

V. Vieland, Jian Huang, Kai Wang, 2000, Annals of human genetics.

The Null Distribution of the Heterogeneity Lod Score Does Depend on the Assumed Genetic Model for the Trait

V. Vieland, Jian Huang, 2001, Human Heredity.

A tissue-specific collaborative mixed model for jointly analyzing multiple tissues in transcriptome-wide association studies

Jian Huang, Yuling Jiao, Jin Liu, 2020, Nucleic acids research.

A tissue-specific collaborative mixed model for jointly analyzing multiple tissues in transcriptome-wide association studies

Jian Huang, Yuling Jiao, Jin Liu, 2019, bioRxiv.

Semiparametric prognosis models in genomic studies

Yang Li, Jian Huang, Shuangge Ma, 2010, Briefings Bioinform..

Genome-wide linkage analysis of blood pressure under locus heterogeneity

V. Vieland, Jian Huang, Kai Wang, 2003, BMC Genetics.

Robust Signal Recovery for High-dimensional Linear Log-contrast Models with Compositional Covariates

Jian Huang, Liuquan Sun, Yuanyuan Lin, 2022, Journal of Business & Economic Statistics.

Regularized ROC Estimation : With Applications to Disease Classification Using Microarray Data

Jian Huang, Shuangge Ma, 2005 .

A Consistent Test for Misspeci cation in PolychotomousResponse Models

Jian Huang, A. Kneip, A. Werwatz, 1997 .

Double bias correction for high-dimensional sparse additive hazards regression with covariate measurement errors

Jian Huang, G. Yin, Yuanshan Wu, 2022, Lifetime Data Analysis.

Identification of gene-environment interactions in cancer studies using penalization.

Jian Huang, Shuangge Ma, Nathaniel Rothman, 2013, Genomics.

Integrative Analysis of Cancer Prognosis Data With Multiple Subtypes Using Regularized Gradient Descent

Jian Huang, Shuangge Ma, Nathaniel Rothman, 2012, Genetic epidemiology.

Inference on High-dimensional Single-index Models with Streaming Data

Jian Huang, Linglong Kong, Liuquan Sun, 2022, 2210.00937.

Two-locus heterogeneity cannot be distinguished from two-locus epistasis on the basis of affected-sib-pair data.

V. Vieland, Jian Huang, 2003, American journal of human genetics.

Regularized biomarker selection in microarray meta-analysis

Jian Huang, Shuangge Ma, 2007 .

Regularized Estimation and Biomarker Selection in Microarray Meta-Analysis

Jian Huang, Shuangge Ma, 2007 .

A Polymorphism in the Complement Component C1qA Correlates with Prolonged Response Following Rituximab Therapy of Follicular Lymphoma

Jian Huang, S. Ansell, T. Witzig, 2008, Clinical Cancer Research.

The Posterior Probability of Linkage Allowing for Linkage Disequilibrium and a New Estimate of Disequilibrium between a Trait and a Marker

Jian Huang, Veronica J. Vieland, Mark W. Logue, 2005, Human Heredity.

Asymptotic properties of Lasso in high-dimensional partially linear models

Jian Huang, Chi Ma, 2015, Science China Mathematics.

Variable selection in the accelerated failure time model via the bridge method

Jian Huang, Shuangge Ma, Jian Huang, 2010, Lifetime data analysis.

Regularized Estimation in the Accelerated Failure Time Model with High‐Dimensional Covariates

Jian Huang, Shuangge Ma, Huiliang Xie, 2006, Biometrics.

Integrative Analysis of Cancer Diagnosis Studies with Composite Penalization

Jian Huang, Shuangge Ma, Jin Liu, 2014, Scandinavian journal of statistics, theory and applications.

Integrative Analysis of High‐throughput Cancer Studies With Contrasted Penalization

Jian Huang, Xingjie Shi, Shuangge Ma, 2014, Genetic epidemiology.

CoMM-S2: a collaborative mixed model using summary statistics in transcriptome-wide association studies

Yi Yang, Xiang Zhou, Lei Sun, 2019, bioRxiv.

A new statistical test for age‐of‐onset anticipation: Application to bipolar disorder

V. Vieland, Jian Huang, 1997, Genetic epidemiology.

Sparse group penalized integrative analysis of multiple cancer prognosis datasets.

Jian Huang, Jin Liu, Shuangge Ma, 2013, Genetics research.

SCAD-penalized regression in high-dimensional partially linear models

Jian Huang, Huiliang Xie, Jian Huang, 2009, 0903.5474.

Yong Zhou, Jin Liu, Jian Huang, 2014, Briefings Bioinform..

Balancing stability and bias reduction in variable selection with the Mnet estimator

Cun-Hui Zhang, Jian Huang, Shuangge Ma, 2013 .

COORDINATE DESCENT ALGORITHMS FOR NONCONVEX PENALIZED REGRESSION, WITH APPLICATIONS TO BIOLOGICAL FEATURE SELECTION.

Jian Huang, Patrick Breheny, Jian Huang, 2011, The annals of applied statistics.

Identification of Predictive Pathways for Non-Hodgkin Lymphoma Prognosis

Michael R. Kosorok, Jian Huang, Shuangge Ma, 2010, Cancer informatics.

Identification of non-Hodgkin's lymphoma prognosis signatures using the CTGDR method

Jian Huang, Shuangge Ma, Peter Boyle, 2010, Bioinform..

Regularized gene selection in cancer microarray meta-analysis

Jian Huang, Shuangge Ma, Jian Huang, 2009, BMC Bioinformatics.

Genetic anticipation and breast cancer: a prospective follow‐up study

A. Paterson, T. Sellers, Jian Huang, 1999, Breast Cancer Research and Treatment.

NONPARAMETRIC ESTIMATION OF MARGINAL DISTRIBUTIONS UNDER BIVARIATE TRUNCATION WITH APPLICATION TO TESTING FOR AGE-OF-ONSET ANTICIPATION

V. Vieland, Jian Huang, Kai Wang, 2001 .

Accounting for linkage disequilibrium in genome-wide association studies: A penalized regression method.

Kai Wang, Jian Huang, Jin Liu, 2013, Statistics and its interface.

Estimation and Selection via Absolute Penalized Convex Minimization And Its Multistage Adaptive Applications

Jian Huang, Cun-Hui Zhang, Cun-Hui Zhang, 2011, J. Mach. Learn. Res..

Incorporating higher-order representative features improves prediction in network-based cancer prognosis analysis

Jian Huang, Shuangge Ma, Michael R Kosorok, 2011, BMC Medical Genomics.

Identification of cancer-associated gene clusters and genes via clustering penalization.

Jian Huang, Shuangge Ma, Shihao Shen, 2009, Statistics and its interface.

Combining Clinical and Genomic Covariates via Cov-TGDR

Jian Huang, Shuangge Ma, Jian Huang, 2007, Cancer informatics.

Additive risk survival model with microarray data

Jian Huang, Shuangge Ma, Jian Huang, 2007, BMC Bioinformatics.

ASYMPTOTIC THEORY FOR NONPARAMETRIC ESTIMATION OF SURVIVAL CURVES UNDER ORDER RESTRICTIONS

Jian Huang, Jens Præstgaard, 1996 .

Subgroup analysis in the heterogeneous Cox model

Jian Huang, Xingqiu Zhao, Xiangbin Hu, 2020, Statistics in medicine.

Accommodating missingness in environmental measurements in gene‐environment interaction analysis

Jian Huang, Yangguang Zang, Shuangge Ma, 2017, Genetic epidemiology.

Regularized ROC method for disease classification and biomarker selection with microarray data

Jian Huang, Shuangge Ma, Jian Huang, 2005, Bioinform..

Heterogeneity analysis via integrating multi-sources high-dimensional data with applications to cancer studies

Jian Huang, Shuangge Ma, Mengyun Wu, 2021 .

Combining multidimensional genomic measurements for predicting cancer prognosis: observations from TCGA

Qing Zhao, Jian Huang, Xingjie Shi, 2015, Briefings Bioinform..

BMC Bioinformatics BioMed Central Methodology article Supervised group Lasso with applications to microarray data

Jian Huang, Xiao Song, Shuangge Ma, 2007 .

Analysis of Genome-Wide Association Studies with Multiple Outcomes Using Penalization

Jian Huang, Shuangge Ma, Jin Liu, 2012, PloS one.

Group selection in the cox model with a diverging number of covariates

Jian Huang, Yanyan Liu, Xingqiu Zhao, 2014 .

Integrative analysis of multiple cancer genomic datasets under the heterogeneity model

Jin Liu, Shuangge Ma, Jian Huang, 2013, Statistics in medicine.

Comparison of ‘Model-Free’ and ‘Model-Based’ Linkage Statistics in the Presence of Locus Heterogeneity: Single Data Set and Multiple Data Set Applications

Jian Huang, Veronica J. Vieland, V. Vieland, 2001, Human Heredity.

Power to Detect Linkage Based on Multiple Sets of Data in the Presence of Locus Heterogeneity: Comparative Evaluation of Model-Based Linkage Methods for Affected Sib Pair Data

Jian Huang, Kai Wang, Veronica J. Vieland, 2001, Human Heredity.

Semiparametric Regression Pursuit.

Shuangge Ma, Fengrong Wei, Jian Huang, 2012, Statistica Sinica.

Consistent Variance Estimation in Semiparametric Models with Application to Interval-Censored Data

Ying Zhang, Jian Huang, Lei Hua, 2012 .

A Least-Squares Approach to Consistent Information Estimation in Semiparametric Models

Ying Zhang, Jian Huang, Lei Hua, 2008 .

EFFICIENT ESTIMATION FOR THE COX MODEL WITH INTERVAL CENSORING

Jian Huang, Jian Huang, 2007 .

Efficient estimation for the proportional hazards model with interval censoring

Jian Huang, Jian Huang, 1996 .

Regression Models with Interval Censoring

J. Wellner, Jian Huang, 1993 .

Least absolute deviations estimation for the accelerated failure time model

Jian Huang, Shuangge Ma, Huiliang Xie, 2007 .

Semiparametric Estimation Methods for Panel Count Data Using Monotone B-Splines

Ying Zhang, Jian Huang, Minggen Lu, 2009 .

Semiparametric Estimation Methods for Panel Count Data Using Monotone Polynomial Splines

Jian Huang, Minggen Lu, Ying Zhang, 2007 .

Sieve Estimation for the Proportional-Odds Failure-Time Regression Model with Interval Censoring

Jian Huang, A. J. Rossini, Jian Huang, 1997 .

Genome Scan for Linkage to Asthma Using a Linkage Disequilibrium‐lod Score Test

Jian Huang, Yanming Jiang, Susan L. Sleger, 2001, Genetic epidemiology.

A note on estimating a partly linear model under monotonicity constraints

Jian Huang, Jian Huang, 2002 .

Projection‐based and cross‐validated estimation in high‐dimensional Cox model

Jian Huang, Liuquan Sun, Haixiang Zhang, 2021, Scandinavian Journal of Statistics.

ASYMPTOTIC PROPERTIES OF NONPARAMETRIC ESTIMATION BASED ON PARTLY INTERVAL-CENSORED DATA

Jian Huang, Jian Huang, 2000 .

Integrative prescreening in analysis of multiple cancer genomic studies

Jian Huang, Shuangge Ma, Rui Song, 2012, BMC Bioinformatics.

Integrative analysis and variable selection with multiple high-dimensional data sets.

Jian Huang, Shuangge Ma, Xiao Song, 2011, Biostatistics.

A Selective Review of Group Selection in High-Dimensional Models.

Jian Huang, Shuangge Ma, Patrick Breheny, 2012, Statistical science : a review journal of the Institute of Mathematical Statistics.

The Sparse Laplacian Shrinkage Estimator for High-Dimensional Regression.

Jian Huang, Shuangge Ma, Cun-Hui Zhang, 2011, Annals of statistics.

Majorization minimization by coordinate descent for concave penalized generalized linear models

Jian Huang, Dingfeng Jiang, Jian Huang, 2014, Stat. Comput..

Integrative Analysis of Multiple Cancer Prognosis Datasets Under the Heterogeneity Model

Jin Liu, Jian Huang, Shuangge Ma, 2013 .

Online Debiased Lasso

Jian Huang, Yuanyuan Lin, Lan Luo, 2021 .

Online Debiased Lasso for Streaming Data

Ruijian Han, Yuanyuan Lin, Lan Luo, 2021, 2106.05925.

Integrative analysis of multiple cancer prognosis studies with gene expression measurements

Jian Huang, Shuangge Ma, Yang Xie, 2011, Statistics in medicine.

A global partial likelihood estimation in the additive Cox proportional hazards model

Jian Huang, Huazhen Lin, Ye He, 2016 .

Interval Censored Survival Data: A Review of Recent Progress

Jian Huang, Jon A. Wellner, J. Wellner, 1997 .

Hierarchical cancer heterogeneity analysis based on histopathological imaging features

Jian Huang, Shuangge Ma, Tingyan Zhong, 2021, Biometrics.

Statistical Inference in High-dimensional Generalized Linear Models with Streaming Data

Ruijian Han, Yuanyuan Lin, Lan Luo, 2021, 2108.04437.

Penalized feature selection and classification in bioinformatics

Jian Huang, Shuangge Ma, Jian Huang, 2008, Briefings Bioinform..

Histopathological imaging‐based cancer heterogeneity analysis via penalized fusion with model averaging

Jian Huang, Qingzhao Zhang, Baihua He, 2020, Biometrics.

Limiting distribution for monotone median regression

Jian Huang, Yazhen Wang, 2002 .

The Iterated Lasso for High-Dimensional Logistic Regression By

Jian Huang, JIAN HUANG, 2008 .

Shuangge Ma, Yuan Huang, Sanguo Zhang, 2015, Journal of the American Statistical Association.

A robust penalized method for the analysis of noisy DNA copy number data

Jian Huang, Xiaoli Gao, Jian Huang, 2010, BMC Genomics.

Penalized methods for bi-level variable selection.

Jian Huang, Patrick Breheny, Jian Huang, 2009, Statistics and its interface.

Deciphering the associations between gene expression and copy number alteration using a sparse double Laplacian shrinkage approach

Qing Zhao, Jian Huang, Xingjie Shi, 2015, Bioinform..

A Penalized Robust Method for Identifying Gene–Environment Interactions

Yong Zhou, Jian Huang, Jin Liu, 2014, Genetic epidemiology.

Bayesian hierarchical finite mixture of regression for histopathological imaging‐based cancer data analysis

Jian Huang, Shuangge Ma, Yuan Huang, 2022, Statistics in medicine.

High-dimensional integrative analysis with homogeneity and sparsity recovery

Jian Huang, Xinfeng Yang, Xiaodong Yan, 2019, J. Multivar. Anal..

A Concave Pairwise Fusion Approach to Subgroup Analysis

Jian Huang, Shujie Ma, Jian Huang, 2015, 1508.07045.

Clustering threshold gradient descent regularization: with applications to microarray studies

Jian Huang, Shuangge Ma, Jian Huang, 2007, Bioinform..

Maximum likelihood estimation for proportional odds regression model with current status data

Jian Huang, Jian Huang, 1995 .

A robust two-way semi-linear model for normalization of cDNA microarray data

Jian Huang, Deli Wang, Hehuang Xie, 2005, BMC Bioinformatics.

Robust post-selection inference of high-dimensional mean regression with heavy-tailed asymmetric or heteroskedastic errors

Yuanyuan Lin, Jian Huang, Dongxiao Han, 2021, Journal of Econometrics.

Integrative analysis of ‘‐omics’ data using penalty functions

Jian Huang, Jin Liu, Xingjie Shi, 2015, Wiley interdisciplinary reviews. Computational statistics.

INFERENCE FOR LOW-DIMENSIONAL COVARIATES IN A HIGH-DIMENSIONAL ACCELERATED FAILURE TIME MODEL.

Jian Huang, Shuangge Ma, Qingzhao Zhang, 2019, Statistica Sinica.

Oracle inequalities for sparse additive quantile regression in reproducing kernel Hilbert space

Jian Huang, Heng Lian, Huazhen Lin, 2018 .

A Semi-linear Model for Normalization and Analysis of cDNA Microarray Data

Jian Huang, Cun-Hui Zhang, Hsun-Chih Kuo, 2003 .

Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors

Jian Huang, Patrick Breheny, Jian Huang, 2012, Statistics and Computing.

A Forward and Backward Stagewise algorithm for nonconvex loss functions with adaptive Lasso

Jian Huang, Xingjie Shi, Shuangge Ma, 2018, Comput. Stat. Data Anal..

Identification of breast cancer prognosis markers via integrative analysis

Ying Dai, Jian Huang, Shuangge Ma, 2012, Comput. Stat. Data Anal..

Combining Clinical and Genomic Covariates via Cov-TGDR

Jian Huang, Shuangge Ma, 2007, Cancer informatics.

A bayesian approach to replication of linkage findings

Jian Huang, Kai Wang, Veronica J. Vieland, 1999, Genetic epidemiology.

The Score Statistic of the LD-Lod Analysis: Detecting Linkage Adaptive to Linkage Disequilibrium

Jian Huang, Yanming Jiang, 2001, Human Heredity.

Semiparametric inference for the proportional mean residual life model with right-censored length-biased data

Jian Huang, Yong Zhou, Fangfang Bai, 2016 .

Integrative prescreening in analysis of multiple cancer genomic studies

Jian Huang, Shuangge Ma, Rui Song, 2012, BMC Bioinformatics.

Incorporating Network Structure in Integrative Analysis of Cancer Prognosis Data

Jin Liu, Jian Huang, Shuangge Ma, 2013, Genetic epidemiology.

On the sign consistency of the Lasso for the high-dimensional Cox model

Jian Huang, Heng Lian, Huazhen Lin, 2018, J. Multivar. Anal..

Jian Huang, Shuangge Ma, Jin Liu, 2014, Briefings Bioinform..

THE Mnet method for variable selection

Jian Huang, Shuangge Ma, Patrick Breheny, 2016 .

Penalized methods for bi-level variable selection.

Jian Huang, P. Breheny, 2009, Statistics and its interface.

A group adaptive elastic-net approach for variable selection in high-dimensional linear regression

Jian Huang, Jianhua Hu, Feng Qiu, 2017, Science China Mathematics.

Jian Huang, Shuangge Ma, Qingzhao Zhang, 2015, Journal of the American Statistical Association.

Penalized integrative analysis under the accelerated failure time model

Jin Liu, Jian Huang, Shuangge Ma, 2015, 1501.02458.

Integrative analysis of multiple cancer genomic datasets under the heterogeneity model

Jian Huang, Shuangge Ma, Jin Liu, 2013, Statistics in medicine.

A rank-based approach to estimating monotone individualized two treatment regimes

Jian Huang, Liuquan Sun, Haixiang Zhang, 2020, Comput. Stat. Data Anal..

Asymptotic Analysis of A Two-Way Semiparametric Regression Model for Microarray Data

Cun-Hui Zhang, Jian Huang, 2003 .

SEMIPARAMETRIC ESTIMATION OF TREATMENT EFFECTS IN TWO SAMPLE PROBLEMS WITH CENSORED DATA

Jian Huang, Yong Zhou, Fangfang Bai, 2014 .