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Content
July 2018, Volume 2, Issue 2
- 172-180 Efficient Robbins–Monro procedure for multivariate binary data
by Cui Xiong & Jin Xu - 181-195 Dynamic stress–strength reliability estimation of system with survival signature
by Yiming Liu & Yimin Shi & Xuchao Bai & Bin Liu - 196-205 Pseudo likelihood and dimension reduction for data with nonignorable nonresponse
by Ji Chen & Bingying Xie & Jun Shao - 206-214 The effects of additive outliers in INAR(1) process and robust estimation
by Marcelo Bourguignon & Klaus L. P. Vasconcellos - 215-218 Summaries of three keynote lectures at the SAE – 2018
by Kai Tan & Lyu Ni - 219-221 Interview with Professor Danny Pfeffermann
by Lyu Ni & Kai Tan - 222-224 How I became a statistician — thank you speech at birthday dinner
by Danny Pfeffermann
January 2018, Volume 2, Issue 1
- 1-1 Editorial foreword
by Jun Shao & Dongchu Sun & Danyu Lin - 2-10 Nutritional epidemiology methods and related statistical challenges and opportunities
by Ross L. Prentice & Ying Huang - 11-13 On the formation and use of calibration equations in nutritional epidemiology – Discussion of the Paper by R. L. Prentice and Y. Huang
by Laurence S. Freedman & Pamela A. Shaw - 14-20 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
by Donna Spiegelman - 21-22 Discussion of the paper by R. L. Prentice and Y. Huang: Optimal designs and efficient inference for biomarker studies
by D. Y. Lin - 23-26 Response to discussion of ‘Nutritional epidemiology methods and related statistical challenges and opportunities’
by Ross L. Prentice & Ying Huang - 27-36 Objective Bayesian analysis for the accelerated degradation model using Wiener process with measurement errors
by Daojiang He & Yunpeng Wang & Mingxiang Cao - 37-47 Objective Bayesian hypothesis testing and estimation for the intraclass model
by Duo Zhang & Daojiang He & Xiaoqian Sun & Tao Lu & Min Wang - 48-57 Statistical analysis of dependent competing risks model in constant stress accelerated life testing with progressive censoring based on copula function
by Xuchao Bai & Yimin Shi & Yiming Liu & Bin Liu - 58-67 Step-stress accelerated degradation test planning based on Wiener process with correlation
by Lei He & Rong-Xian Yue & Daojiang He - 68-79 A generalisation of the exponential distribution and its applications on modelling skewed data
by Muhammad Zubair & Ayman Alzaatreh & M. H. Tahir & Muhammad Mansoor & Manat Mustafa - 80-88 Deep advantage learning for optimal dynamic treatment regime
by Shuhan Liang & Wenbin Lu & Rui Song - 89-95 Impact of sufficient dimension reduction in nonparametric estimation of causal effect
by Ying Zhang & Jun Shao & Menggang Yu & Lei Wang - 96-101 Testing hypotheses under covariate-adaptive randomisation and additive models
by Ting Ye
July 2017, Volume 1, Issue 2
- 141-142 Second Issue, 2017
by Jun Shao & Dongchu Sun & Danyu Lin - 143-158 Multi-category diagnostic accuracy based on logistic regression
by Jialiang Li & Jason P. Fine & Michael J. Pencina - 159-170 Robust dynamic risk prediction with longitudinal studies
by Qian M. Zhou & Wei Dai & Yingye Zheng & Tianxi Cai - 171-181 Treatment recommendation and parameter estimation under single-index contrast function
by Cui Xiong & Menggang Yu & Jun Shao - 182-184 Personalised medicine with multiple treatments: a PhD thesis abstract
by Zhilan Lou - 185-193 Bayesian functional enrichment analysis for the Reactome database
by Jing Cao - 194-204 Semiparametric Bayesian analysis of high-dimensional censored outcome data
by Chetkar Jha & Yi Li & Subharup Guha - 205-215 The influence of misspecified covariance on false discovery control when using posterior probabilities
by Ye Liang & Joshua D. Habiger & Xiaoyi Min - 216-226 Statistical inference for zero-and-one-inflated poisson models
by Yincai Tang & Wenchen Liu & Ancha Xu - 227-233 Statistical estimation in partially nonlinear models with random effects
by Ye Que & Zhensheng Huang & Riquan Zhang - 234-245 Sequential profile Lasso for ultra-high-dimensional partially linear models
by Yujie Li & Gaorong Li & Tiejun Tong - 246-256 Factor analysis of correlation matrices when the number of random variables exceeds the sample size
by Miguel Marino & Yi Li - 257-264 Optimal AK composite estimators in current population survey
by Yang Cheng & Jun Shao & Zhou Yu - 265-266 Sample size calculations in clinical research, third edition, by Shein-Chung Chow, Jun Shao, Hansheng Wang, and Yuliya Lokhnygina
by Ting Ye & Yanyao Yi
January 2017, Volume 1, Issue 1
- 1-2 Editorial
by Jun Shao & Dongchu Sun & Danyu Lin - 3-14 Funnel testing in webpage optimisation: representation, design and analysis
by Heng Su & C. F. Jeff Wu - 15-27 On finite mixture models
by Jiahua Chen - 28-36 Achieving the oracle property of OEM with nonconvex penalties
by Shifeng Xiong & Bin Dai & Peter Z. G. Qian - 37-47 Personalised treatment assignment maximising expected benefit with smooth hinge loss
by Shixue Liu & Jun Shao & Menggang Yu - 48-58 Cholesky-based model averaging for covariance matrix estimation
by Hao Zheng & Kam-Wah Tsui & Xiaoning Kang & Xinwei Deng - 59-68 An adaptive lack of fit test for big data
by Yanyan Zhao & Changliang Zou & Zhaojun Wang - 69-81 Semiparametric fractional imputation using empirical likelihood in survey sampling
by Sixia Chen & Jae kwang Kim - 82-91 Quasi-Monte Carlo simulation of Brownian sheet with application to option pricing
by Xinyu Song & Yazhen Wang - 92-111 An extended sparse max-linear moving model with application to high-frequency financial data
by Timothy Idowu & Zhengjun Zhang - 112-120 Portfolio optimisation using constrained hierarchical bayes models
by Jiangyong Yin & Xinyi Xu - 121-127 Power analysis for stratified cluster randomisation trials with cluster size being the stratifying factor
by Jijia Wang & Song Zhang & Chul Ahn - 128-140 Bayesian analysis of series system with dependent causes of failure
by Ancha Xu & Shirong Zhou