Jing Qin

发表

Incorporating survival data into case‐control studies with incident and prevalent cases

Ruth Pfeiffer, Soutrik Mandal, Jing Qin, 2020, Statistics in medicine.

A Weissman-type estimator of the conditional marginal expected shortfall

Armelle Guillou, Yuri Goegebeur, Jing Qin, 2020, Econometrics and Statistics.

Extreme value estimation of the conditional risk premium in reinsurance

Armelle Guillou, Yuri Goegebeur, Jing Qin, 2021, Insurance: Mathematics and Economics.

Semiparametric isotonic regression modelling and estimation for group testing data

Jing Ning, Jin Piao, Ao Yuan, 2020, The Canadian journal of statistics = Revue canadienne de statistique.

Conditional marginal expected shortfall

Armelle Guillou, Yuri Goegebeur, Jing Qin, 2021, Extremes.

Maximum pairwise-rank-likelihood-based inference for the semiparametric transformation model

Pengfei Li, Tao Yu, Ao Yuan, 2021, Journal of Econometrics.

Using the accelerated failure time model to analyze current status data with misclassified covariates

Ao Yuan, Jing Qin, Baojiang Chen, 2021 .

Semiparametric Likelihood Ratio-Based Inferences for Truncated Data

Ram C. Tiwari, Jing Qin, R. Tiwari, 1997 .

Semiparametric dimension reduction estimation for mean response with missing data.

Dean A Follmann, Zonghui Hu, Jing Qin, 2010, Biometrika.

Empirical Likelihood in Biased Sample Problems

Jing Qin, J. Qin, 1993 .

Nonparametric estimation for length-biased and right-censored data.

Chiung-Yu Huang, Jing Qin, J. Qin, 2011, Biometrika.

Conditional independence test by generalized Kendall’s tau with generalized odds ratio

Jing Ning, Dean Follmann, Jing Qin, 2018, Statistical methods in medical research.

Inference of Tamoxifen's Effects on Prevention of Breast Cancer From a Randomized Controlled Trial

Yu Shen, Jing Qin, Joseph P Costantino, 2007, Journal of the American Statistical Association.

Semiparametric Inference in a Genetic Mixture Model

Pengfei Li, Yukun Liu, Jing Qin, 2017 .

Empirical Likelihood in Missing Data Problems

Biao Zhang, Jing Qin, J. Qin, 2009 .

Information Recovery in a Study With Surrogate Endpoints

Jing Qin, Song Xi Chen, J. Qin, 2003 .

Non‐parametric tests for right‐censored data with biased sampling

Jing Ning, Yu Shen, Jing Qin, 2010, Journal of the Royal Statistical Society. Series B, Statistical methodology.

Empirical likelihood-based confidence intervals for data with possible zero observations

Jing Qin, Song Xi Chen, J. Qin, 2003 .

A Note on Monte Carlo Maximization by the Density Ratio Model

Konstantinos Fokianos, Jing Qin, J. Qin, 2008 .

Efficient and Doubly Robust Imputation for Covariate-Dependent Missing Responses

Biao Zhang, Jun Shao, Jing Qin, 2008 .

Marginal likelihood, conditional likelihood and empirical likelihood: Connections and applications

Biao Zhang, Jing Qin, 2005 .

Hypothesis Testing in a Mixture Case–Control Model

Kung-Yee Liang, Jing Qin, K. Liang, 2011, Biometrics.

Simple and fast overidentified rank estimation for right-censored length-biased data and backward recurrence time.

Kwun Chuen Gary Chan, Yifei Sun, Jing Qin, 2018, Biometrics.

Empirical likelihood ratio based confidence intervals for mixture proportions

Jing Qin, J. Qin, 1999 .

Composite Estimating Equation Method for the Accelerated Failure Time Model with Length‐biased Sampling Data

Yong Zhou, Jing Qin, Zhiping Qiu, 2016 .

Estimation With Survey Data Under Nonignorable Nonresponse or Informative Sampling

Jun Shao, Jing Qin, J. Shao, 2002 .

A maximum pseudo-profile likelihood estimator for the Cox model under length-biased sampling.

Chiung-Yu Huang, Dean A Follmann, Jing Qin, 2012, Biometrika.

Likelihood approaches for the invariant density ratio model with biased-sampling data.

Jing Ning, Yu Shen, Jing Qin, 2012, Biometrika.

Density estimation in the two-sample problem with likelihood ratio ordering

Pengfei Li, Tao Yu, Jing Qin, 2017 .

Empirical‐likelihood‐based inference in missing response problems and its application in observational studies

Biao Zhang, Jing Qin, J. Qin, 2007 .

A generalized‐moments specification test for the logistic link

Konstantinos Fokianos, Jing Qin, J. Qin, 1999 .

Semiparametric two‐sample changepoint model with application to human immunodeficiency virus studies

Dean Follmann, Zonghui Hu, Jing Qin, 2008 .

Improving semiparametric estimation by using surrogate data

Jing Qin, Song Xi Chen, S. Chen, 2008 .

Best combination of multiple diagnostic tests for screening purposes

Biao Zhang, Jing Qin, J. Qin, 2010, Statistics in medicine.

3B11-N, a monoclonal antibody against MERS-CoV, reduces lung pathology in rhesus monkeys following intratracheal inoculation of MERS-CoV Jordan-n3/2012

Ulas Bagci, Jesus Velasco, Joshua C. Johnson, 2016, Virology.

Statistical Methods for Analyzing Right‐Censored Length‐Biased Data under Cox Model

Yu Shen, Jing Qin, J. Qin, 2010, Biometrics.

Semiparametric Double Balancing Score Estimation for Incomplete Data With Ignorable Missingness

Dean Follmann, Zonghui Hu, Jing Qin, 2012 .

Empirical‐likelihood‐based difference‐in‐differences estimators

Jing Qin, J. Qin, And Biao Zhang, 2008 .

Semi-empirical likelihood ratio confidence intervals for the difference of two sample means

Jing Qin, J. Qin, 1994 .

Estimation of incubation period and generation time based on observed length‐biased epidemic cohort with censoring for COVID‐19 outbreak in China

Yukun Liu, Chong You, Jing Qin, 2020, Biometrics.

Analyzing Length-Biased Data With Semiparametric Transformation and Accelerated Failure Time Models

Jing Ning, Yu Shen, Jing Qin, 2009, Journal of the American Statistical Association.

Estimating equations, empirical likelihood and constraints on parameters†

J. F. Lawless, Jing Qin, J. Lawless, 1995 .

Examples and Basic Theories for Length Biased Sampling Problems

Jing Qin, 2017 .

Using a Monotonic Density Ratio Model to Find the Asymptotically Optimal Combination of Multiple Diagnostic Tests

Pengfei Li, Tao Yu, Jing Qin, 2016 .