Statistical Theory and Related Fields

2017 - 2025

Current editor(s): Zhao Wei

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Volume 2, issue 2, 2018

Editorial foreword, second issue, 2018 pp. 103-104

Jun Shao, Dongchu Sun and Danyu Lin

Statistical inference for nonignorable missing-data problems: a selective review pp. 105-133

Niansheng Tang and Yuanyuan Ju

Variable screening with missing covariates: a discussion of ‘statistical inference for nonignorable missing data problems: a selective review’ by Niansheng Tang and Yuanyuan Ju pp. 134-136

Fang Fang and Lyu Ni

Some issues on longitudinal data with nonignorable dropout, a discussion of “Statistical Inference for Nonignorable Missing-Data Problems: A Selective Review” by Niansheng Tang and Yuanyuan Ju pp. 137-139

Lei Wang

A discussion of ‘statistical inference for nonignorable missing data problems: a selective review’ by Niansheng Tang and Yuanyuan Ju pp. 140-140

Kosuke Morikawa and Jae Kwang Kim

Semiparametric propensity weighting for nonignorable nonresponse: a discussion of ‘Statistical inference for nonignorable missing data problems: a selective review’ by Niansheng Tang and Yuanyuan Ju pp. 141-142

Jun Shao

Statistical methods without estimating the missingness mechanism: a discussion of ‘statistical inference for nonignorable missing data problems: a selective review’ by Niansheng Tang and Yuanyuan Ju pp. 143-145

Jiwei Zhao

Rejoinder: statistical inference for non-ignorable missing-data problems: a selective review pp. 146-149

Niansheng Tang and Yuanyuan Ju

Some results of classification problem by Bayesian method and application in credit operation pp. 150-157

Tai Vovan

Combining estimators of a common parameter across samples pp. 158-171

Eric Slud, Ilia Vonta and Abram Kagan

Efficient Robbins–Monro procedure for multivariate binary data pp. 172-180

Cui Xiong and Jin Xu

Dynamic stress–strength reliability estimation of system with survival signature pp. 181-195

Yiming Liu, Yimin Shi, Xuchao Bai and Bin Liu

Pseudo likelihood and dimension reduction for data with nonignorable nonresponse pp. 196-205

Ji Chen, Bingying Xie and Jun Shao

The effects of additive outliers in INAR(1) process and robust estimation pp. 206-214

Marcelo Bourguignon and Klaus L. P. Vasconcellos

Summaries of three keynote lectures at the SAE – 2018 pp. 215-218

Kai Tan and Lyu Ni

Interview with Professor Danny Pfeffermann pp. 219-221

Lyu Ni and Kai Tan

How I became a statistician — thank you speech at birthday dinner pp. 222-224

Danny Pfeffermann

Volume 2, issue 1, 2018

Editorial foreword pp. 1-1

Jun Shao, Dongchu Sun and Danyu Lin

Nutritional epidemiology methods and related statistical challenges and opportunities pp. 2-10

Ross L. Prentice and Ying Huang

On the formation and use of calibration equations in nutritional epidemiology – Discussion of the Paper by R. L. Prentice and Y. Huang pp. 11-13

Laurence S. Freedman and Pamela A. Shaw

Much room for optimism on measuring diet, preventing cancer and cardiovascular disease, and correcting for measurement error – discussion of the paper by R. L. Prentice and Y. Huang pp. 14-20

Donna Spiegelman

Discussion of the paper by R. L. Prentice and Y. Huang: Optimal designs and efficient inference for biomarker studies pp. 21-22

D. Y. Lin

Response to discussion of ‘Nutritional epidemiology methods and related statistical challenges and opportunities’ pp. 23-26

Ross L. Prentice and Ying Huang

Objective Bayesian analysis for the accelerated degradation model using Wiener process with measurement errors pp. 27-36

Daojiang He, Yunpeng Wang and Mingxiang Cao

Objective Bayesian hypothesis testing and estimation for the intraclass model pp. 37-47

Duo Zhang, Daojiang He, Xiaoqian Sun, Tao Lu and Min Wang

Statistical analysis of dependent competing risks model in constant stress accelerated life testing with progressive censoring based on copula function pp. 48-57

Xuchao Bai, Yimin Shi, Yiming Liu and Bin Liu

Step-stress accelerated degradation test planning based on Wiener process with correlation pp. 58-67

Lei He, Rong-Xian Yue and Daojiang He

A generalisation of the exponential distribution and its applications on modelling skewed data pp. 68-79

Muhammad Zubair, Ayman Alzaatreh, M. H. Tahir, Muhammad Mansoor and Manat Mustafa

Deep advantage learning for optimal dynamic treatment regime pp. 80-88

Shuhan Liang, Wenbin Lu and Rui Song

Impact of sufficient dimension reduction in nonparametric estimation of causal effect pp. 89-95

Ying Zhang, Jun Shao, Menggang Yu and Lei Wang

Testing hypotheses under covariate-adaptive randomisation and additive models pp. 96-101

Ting Ye

Volume 1, issue 2, 2017

Second Issue, 2017 pp. 141-142

Jun Shao, Dongchu Sun and Danyu Lin

Multi-category diagnostic accuracy based on logistic regression pp. 143-158

Jialiang Li, Jason P. Fine and Michael J. Pencina

Robust dynamic risk prediction with longitudinal studies pp. 159-170

Qian M. Zhou, Wei Dai, Yingye Zheng and Tianxi Cai

Treatment recommendation and parameter estimation under single-index contrast function pp. 171-181

Cui Xiong, Menggang Yu and Jun Shao

Personalised medicine with multiple treatments: a PhD thesis abstract pp. 182-184

Zhilan Lou

Bayesian functional enrichment analysis for the Reactome database pp. 185-193

Jing Cao

Semiparametric Bayesian analysis of high-dimensional censored outcome data pp. 194-204

Chetkar Jha, Yi Li and Subharup Guha

The influence of misspecified covariance on false discovery control when using posterior probabilities pp. 205-215

Ye Liang, Joshua D. Habiger and Xiaoyi Min

Statistical inference for zero-and-one-inflated poisson models pp. 216-226

Yincai Tang, Wenchen Liu and Ancha Xu

Statistical estimation in partially nonlinear models with random effects pp. 227-233

Ye Que, Zhensheng Huang and Riquan Zhang

Sequential profile Lasso for ultra-high-dimensional partially linear models pp. 234-245

Yujie Li, Gaorong Li and Tiejun Tong

Factor analysis of correlation matrices when the number of random variables exceeds the sample size pp. 246-256

Miguel Marino and Yi Li

Optimal AK composite estimators in current population survey pp. 257-264

Yang Cheng, Jun Shao and Zhou Yu

Sample size calculations in clinical research, third edition, by Shein-Chung Chow, Jun Shao, Hansheng Wang, and Yuliya Lokhnygina pp. 265-266

Ting Ye and Yanyao Yi

Volume 1, issue 1, 2017

Editorial pp. 1-2

Jun Shao, Dongchu Sun and Danyu Lin

Funnel testing in webpage optimisation: representation, design and analysis pp. 3-14

Heng Su and C. F. Jeff Wu

On finite mixture models pp. 15-27

Jiahua Chen

Achieving the oracle property of OEM with nonconvex penalties pp. 28-36

Shifeng Xiong, Bin Dai and Peter Z. G. Qian

Personalised treatment assignment maximising expected benefit with smooth hinge loss pp. 37-47

Shixue Liu, Jun Shao and Menggang Yu

Cholesky-based model averaging for covariance matrix estimation pp. 48-58

Hao Zheng, Kam-Wah Tsui, Xiaoning Kang and Xinwei Deng

An adaptive lack of fit test for big data pp. 59-68

Yanyan Zhao, Changliang Zou and Zhaojun Wang

Semiparametric fractional imputation using empirical likelihood in survey sampling pp. 69-81

Sixia Chen and Jae kwang Kim

Quasi-Monte Carlo simulation of Brownian sheet with application to option pricing pp. 82-91

Xinyu Song and Yazhen Wang

An extended sparse max-linear moving model with application to high-frequency financial data pp. 92-111

Timothy Idowu and Zhengjun Zhang

Portfolio optimisation using constrained hierarchical bayes models pp. 112-120

Jiangyong Yin and Xinyi Xu

Power analysis for stratified cluster randomisation trials with cluster size being the stratifying factor pp. 121-127

Jijia Wang, Song Zhang and Chul Ahn

Bayesian analysis of series system with dependent causes of failure pp. 128-140

Ancha Xu and Shirong Zhou