Forthcoming Issue

The following papers are expected to appear in
Volume 29, Number 4, October 2019

corresponding author*

Discussion  
1. SS-2018-0076 [Supp]
doi:10.5705/ss.202018.0076
Entropy learning for dynamic treatment regimes
Binyan Jiang, Rui Song, Jialiang Li* and Donglin Zeng
2. SS-2019-0015
doi:10.5705/ss.202019.0015
Discussion of ˇ§Entropy learning for dynamic treatment regimesˇ¨ by Jiang Song, Li and Zeng
Wenbin Lu*
3. SS-2019-0035
doi:10.5705/ss.202019.0035
Discussion on ˇ§Entropy learning for dynamic treatment regimesˇ¨
Xin He, Shirong Xu and Junhui Wang*
4. SS-2019-0034
doi:10.5705/ss.202019.0034
Discussion on ˇ§Entropy learning for dynamic treatment regimesˇ¨
Min Qian* and Bin Cheng
5. SS-2019-0062
doi:10.5705/ss.202019.0062
Comment on ˇ§Entropy learning for dynamic treatment regimesˇ¨ by Binyan Jiang, Rui Song, et al.
Hongxiang Qiu*, Alex Luedtke and Mark van der Laan
6. SS-2019-0071
doi:10.5705/ss.202019.0071
On regression tables for policy learning: comment on a paper by Jiang, Song, Li and Zeng
Stefan Wager*
7. SS-2019-0089
doi:10.5705/ss.202019.0089
Discussion of ˇ§Entropy learning for dynamic treatment regimesˇ¨
Yichi Zhang and Eric B. Laber*
8. SS-2019-0115
doi:10.5705/ss.202019.0115
Comment: Entropy learning for dynamic treatment regimes
Nathan Kallus*
9. SS-2019-0171
doi:10.5705/ss.202019.0171
Rejoinder for ˇ§Entropy learning for dynamic treatment regimesˇ¨
Binyan Jiang, Rui Song, Jialiang Li* and Donglin Zeng
   
General  
1. SS-2017-0008 [Supp]
doi:10.5705/ss.202017.0008
Smoothed full-scale approximation of Gaussian process models for computation of large spatial datasets
Bohai Zhang*, Huiyan Sang and Jianhua Z. Huang
2. SS-2017-0106 [Supp]
doi:10.5705/ss.202017.0106
Strong laws for randomly weighted sums of random variables and applications in the bootstrap and random design regression
Pingyan Chen, Tao Zhang and Soo Hak Sung*
3. SS-2017-0288 [Supp]
doi:10.5705/ss.202017.0288
Sufficient dimension reduction under dimension-reduction-based imputation with predictors missing at random
Xiaojie Yang and Qihua Wang*
4. SS-2017-0236
doi:10.5705/ss.202017.0236
A test for equality of two distributions via integrating characteristic functions
Yiming Liu, Zhi Liu* and Wang Zhou
5. SS-2017-0341 [Supp]
doi:10.5705/ss.202017.0341
Statistical inference for structurally changed threshold autoregressive models
Zhaoxing Gao* and Shiqing Ling
6. SS-2017-0466 [Supp]
doi:10.5705/ss.202017.0466
The bias mapping of the yule-walker estimator is a contraction
Philip A. Ernst* and Paul Shaman
7. SS-2017-0326 [Supp]
doi:10.5705/ss.202017.0326
Semiparametric transformation models with multilevel random effects for correlated disease onset in families
Baosheng Liang, Yuanjia Wang* and Donglin Zeng
8. SS-2017-0179 [Supp]
doi:10.5705/ss.202017.0179
Robust subgroup identification
Yingying Zhang, Huixia Judy Wang and Zhongyi Zhu*
9. SS-2016-0459 [Supp]
doi:10.5705/ss.202016.0459
Two-sample functional linear models
Wenchao Xu, Riquan Zhang* and Hua Liang
10. SS-2016-0114 [Supp]
doi:10.5705/ss.202016.0114
Imprinting and maternal effect detection using partial likelihood based on discordant sibpair data
Fangyuan Zhang, Abbas Khalili and Shili Lin*
11. SS-2017-0089 [Supp]
doi:10.5705/ss.202017.0089
Pseudo value method for ultra high-dimensional semiparametric models with lifetime data
Tony Sit*, Yue Xing, Yongze Xu and Minggao Gu
12. SS-2016-0345 [Supp]
doi:10.5705/ss.202016.0345
On estimation of partially linear varying-coefficient transformation models with censored data
Bo Li, Baosheng Liang, Xingwei Tong and Jianguo Sun*
13. SS-2017-0153 [Supp]
doi:10.5705/ss.202017.0153
Tensor generalized estimating equations for longitudinal imaging analysis
Xiang Zhang, Lexin Li, Hua Zhou*, Yeqing Zhou, Dinggang Shen, and ADNI
14. SS-2017-0505 [Supp]
doi:10.5705/ss.202017.0505
FMEM: Functional mixed effects models for longitudinal functional responses
Hongtu Zhu*, Kehui Chen, Xinchao Luo, Ying Yuan and Jane-Ling Wang
15. SS-2017-0126
doi:10.5705/ss.202017.0126
Multiply robust nonparametric multiple imputation for the treatment of missing data
Sixia Chen and David Haziza*
16. SS-2017-0208 [Supp]
doi:10.5705/ss.202017.0208
A simple method to construct confidence bands in functional linear regression
Masaaki Imaizumi* and Kengo Kato
17. SS-2017-0175 [Supp]
doi:10.5705/ss.202017.0175
Nonparametric inference for Markov processes with missing absorbing state
Giorgos Bakoyannis*, Ying Zhang and Constantin T. Yiannoutsos
18. SS-2017-0298 [Supp]
doi:10.5705/ss.202017.0298
Marginal screening for high-dimensional predictors of survival outcomes
Tzu-Jung Huang*, Ian W. McKeague and Min Qian
19. SS-2016-0348
doi:10.5705/ss.202016.0348
Maximum partial-rank correlation estimation for left-truncated and right-censored survival data
Shao-Hsuan Wang and Chin-Tsang Chiang*
20. SS-2017-0354 [Supp]
doi:10.5705/ss.202017.0354
An adaptive test on high-dimensional parameters in generalized linear models
Chong Wu*, Gongjun Xu and Wei Pan
21. SS-2017-0332
doi:10.5705/ss.202017.0332
Design admissibility, invariance and optimality in multiresponse linear models
Xin Liu and Rong-Xian Yue*
22. SS-2017-0217 [Supp]
doi:10.5705/ss.202017.0217
A matrix-free method for spatial-temporal Gaussian state-space models
Debashis Mondal* and Chunxiao Wang
23. SS-2018-0233 [Supp]
doi:10.5705/ss.202018.0233
Monotone nonparametric regression for functional/longitudinal data
Ziqi Chen, Qibing Gao, Bo Fu and Hongtu Zhu*