Papers to Appear
Biometric Methodology
Differential recall bias in estimating treatment effects in observational studies
Suhwan Bong, Kwonsang Lee, and Francesca Dominici
A Bayesian convolutional neural network-based generalized linear model
Yeseul Jeon, Won Chang, Seonghyun Jeong, Sanghoon Han, and Jaewoo Park
Doubly robust estimation and sensitivity analysis for marginal structural quantile models
Chao Cheng, Liangyuan Hu, and Fan Li
Efficient testing of the biomarker positive and negative subgroups in a biomarker-stratified trial
Lang Li and Anastasia Ivanova
Incorporating nonparametric methods for estimating causal excursion effects in mobile health with zero-inflated count outcomes
Xueqing Liu, Tianchen Qian, Lauren Bell, and Bibhas Chakraborty
Doubly robust proximal synthetic controls
Hongxiang Qiu, Xu Shi, Wang Miao, Edgar Dobriban, and Eric Tchetgen Tchetgen
Robustness of response-adaptive randomization
Xiaoqing Ye, Feifang Hu, and Wei Ma
Sequential covariate-adjusted randomization via hierarchically minimizing Mahalanobis distance and marginal imbalance
Haoyu Yang, Yichen Qin, Yang Li, and Feifang Hu
Regression models for average hazard
Hajime Uno, Lu Tian, Miki Horiguchi, Satoshi Hattori, and Kenneth L. Kehl
Efficient data integration under prior probability shift
Ming-Yueh Huang, Jing Qin, and Chiung-Yu Huang
Testing conditional quantile independence with functional covariate
Yongzhen Feng, Jie Li, and Xiaojun Song
Identifying temporal pathways using biomarkers in the presence of latent non-Gaussian components
Shanghong Xie, Donglin Zeng, and Yuanjia Wang
Causal inference for time-to-event data with a cured subpopulation
Yi Wang, Yuhao Deng, and Xiao-Hua Zhou
Topical hidden genome: discovering latent cancer mutational topics using a Bayesian multilevel context-learning approach
Saptarshi Chakraborty, Zoe Guan, Colin B. Begg, and Ronglai Shen
Addressing age measurement errors in fish growth estimation from length-stratified samples
Nan Zheng, Atefeh Kheirollahi, and Yildiz Yilmaz
Single proxy control
Chan Park, David B. Richardson, and Eric J. Tchetgen Tchetgen
Confounder-dependent Bayesian mixture model: Characterizing heterogeneity of causal effects in air pollution epidemiology
Dafne Zorzetto, Falco J. Bargagli-Stoffi, Antonio Canale, and Francesca Dominici
Well-spread samples with dynamic sample sizes
Blair Robertson, Chris Price, and Marco Reale
Deep partially linear cox model for current status data
Qiang Wu, Xingwei Tong, and Xingqiu Zhao
Flagging unusual clusters based on linear mixed models using weighted and self-calibrated predictors
Charles E. McCulloch, John M. Neuhaus, and Ross D. Boylan
High-dimensional multisubject time series transition matrix inference with application to brain connectivity analysis
Xiang Lyu, Jian Kang, and Lexin Li
Biometric Practice
Discussion Paper
Bayesian meta-analysis of penetrance for cancer risk
Thanthirige Lakshika M Ruberu, Danielle Braun, Giovanni Parmigiani, and Swati Biswas
Discussion
Sudipto Banerjee
Discussion
Gianluca Baio
Discussion
Peter Müller and Bernardo Flores
Discussion
Moreno Ursino and Sarah Zohar
Discussion
Paul Gustafson
Rejoinder
Thanthirige Lakshika M Ruberu, Danielle Braun, Giovanni Parmigiani, and Swati Biswas
Integrating randomized and observational studies to estimate optimal dynamic treatment regimes
Anna Batorsky, Kevin J. Anstrom, and Donglin Zeng
Dissecting the colocalized GWAS and eQTLs with mediation analysis for high-dimensional exposures and confounders
Qi Zhang, Zhikai Yang, and Jinliang Yang
A Bayesian semi-parametric model for learning biomarker trajectories and changepoints in the preclinical phase of Alzheimer’s disease
Kunbo Wang, William Hua, MeiCheng Wang, and Yanxun Xu
High-dimensional covariate-augmented overdispersed poisson factor model
Wei Liu and Qingzhi Zhong
Estimating the size of a closed population by modeling latent and observed heterogeneity
Francesco Bartolucci and Antonio Forcina
Case weighted power priors for hybrid control analyses with time-to-event data
Evan Kwiatkowski, Jiawen Zhu, Xiao Li, Herbert Pang, Grazyna Lieberman, and Matthew A. Psioda
Behavioral carry-over effect and power consideration in crossover trials
Danni Shi and Ting Ye
Reader Reaction
Direct and indirect treatment effects in the presence of semicompeting risks
Yuhao Deng, Yi Wang and Xiao-Hua Zhou
On exact randomization-based covariate-adjusted confidence intervals
Jacob Fiksel
Rejoinder to Reader Reaction “On exact randomization-based covariate-adjusted confidence intervals” by Jacob Fiksel
Ke Zhu and Hanzhong Liu
Book Reviews
Introduction to statistical modelling and inference by Murray Aitkin, CRC Press, 2023, ISBN: 978-1032105710, https://www.routledge.com/Introduction-to-Statistical-Modelling-and-Inference/Aitkin/p/book/9781032105710
Chuhsing Kate Hsiao
Data science for infectious disease data analytics: an introduction with R, by Lily Wang, CRC Press, 2022 ISBN-13: 978-1032187426, https://www.routledge.com/Data-Science-for-Infectious-Disease-Data-Analytics-An-Introduction-with-R/Wang/p/book/9781032187426
Gillian Cheng and Andrei R. Akhmetzhanov
Papers to appear in future issues of Biometrics
LEAP: The latent exchangeability prior for borrowing information from historical data
Ethan M. Alt, Xiuya Chang, Xun Jiang, Qing Liu, May Mo, Hong Amy Xia, and Joseph G. Ibrahim
Discussion on “LEAP: The latent exchangeability prior for borrowing information from historical data” by Ethan M. Alt, Xiuya Chang, Xun Jiang, Qing Liu, May Mo, H. Amy Xia, and Joseph G. Ibrahim
Darren Scott and Alex Lewin
Discussion on “LEAP: The latent exchangeability prior for borrowing information from historical data” by Ethan M. Alt, Xiuya Chang, Xun Jiang, Qing Liu, May Mo, H. Amy Xia, and Joseph G. Ibrahim
Shannon D. Thomas and Alexander M. Kaizer
Discussion on “LEAP: The latent exchangeability prior for borrowing information from historical data” by Ethan M. Alt, Xiuya Chang, Xun Jiang, Qing Liu, May Mo, H. Amy Xia, and Joseph G. Ibrahim
Harlan Campbell and Paul Gustafson
Rejoinder to the discussion on “LEAP: The latent exchangeability prior for borrowing information from historical data”
Ethan M. Alt, Xiuya Chang, Xun Jiang, Qing Liu, May Mo, Hong Amy Xia, and Joseph G. Ibrahim
PathGPS: Discover shared genetic architecture using GWAS summary data
Zijun Gao, Trevor Hastie, and Qingyuan Zhao
Bayesian inference for multivariate probit model with latent envelope
Kwangmin Lee and Yeonhee Park
Optimal refinement of strata to balance covariates
Katherine Brumberg, Dylan S. Small, and Paul R. Rosenbaum
Controlling false discovery rate for mediator selection in high-dimensional data
Ran Dai, Ruiyang Li, Seonjoo Lee, and Ying Liu
An interpretable Bayesian clustering approach with feature selection for analyzing spatially resolved transcriptomics data
Huimin Li, Bencong Zhu, Xi Jiang, Lei Guo, Yang Xie, Lin Xu, and Qiwei Li
Nonparametric receiver operating characteristic curve analysis with an imperfect gold standard
Jiarui Sun, Chao Tang, Wuxiang Xie, and Xiao-Hua Zhou
Nonparametric second-order estimation for spatiotemporal point patterns
Decai Liang, Jialing Liu, Ye Shen, and Yongtao Guan
Propensity weighting plus adjustment in proportional hazards model is not doubly robust
Erin E. Gabriel, Michael C. Sachs, Ingeborg Waernbaum, Els Goetghebeur, Paul F. Blanche, Stijn Vansteelandt, Arvid Sjölander, and Thomas Scheike
Absolute risk from double nested case-control designs: cause-specific proportional hazards models with and without augmented estimating equations
Minjung Lee and Mitchell H. Gail
Multiply robust estimation of marginal structural models in observational studies subject to covariate-driven observations
Janie Coulombe and Shu Yang
Joint structure learning and causal effect estimation for categorical graphical models
Federico Castelletti, Guido Consonni, and Marco L. Della Vedova
A generalized outcome-adaptive sequential multiple assignment randomized trial design
Xue Yang, Yu Cheng, Peter F. Thall, and Abdus S. Wahed
Causal meta-analysis by integrating multiple observational studies with multivariate outcomes
Subharup Guha and Yi Li
A Gaussian-process approximation to a spatial SIR process using moment closures and emulators
Parker Trostle, Joseph Guinness, and Brian J. Reich
Semiparametric inference of effective reproduction number dynamics from wastewater pathogen surveillance data
Isaac H. Goldstein, Daniel M. Parker, Sunny Jiang, and Volodymyr M. Minin
Visibility graph-based covariance functions for scalable spatial analysis in non-convex partially Euclidean domains
Brian Gilbert and Abhirup Datta
Improving prediction of linear regression models by integrating external information from heterogeneous populations: James-Stein Estimators
Peisong Han, Haoyue Li, Sung Kyun Park, Bhramar Mukherjee, and Jeremy M.G. Taylor
Hypothesis tests in ordinal predictive models with optimal accuracy
Yuyang Liu, Shan Luo, and Jialiang Li
Testing for similarity of multivariate mixed outcomes using generalised joint regression models with application to efficacy-toxicity responses
Niklas Hagemann, Giampiero Marra, Frank Bretz, and Kathrin Möllenhoff
The Multivariate Bernoulli detector: Change point estimation in discrete survival analysis
Willem van den Boom, Maria De Iorio, Fang Qian, and Alessandra Guglielmi
Reduced-rank clustered coefficient regression for addressing multicollinearity in heterogeneous coefficient estimation
Yan Zhong, Kejun He, and Gefei Li
Heterogeneity-aware integrative regression for ancestry-specific association studies
Aaron J. Molstad, Yanwei Cai, Alexander P. Reiner, Charles Kooperberg, Wei Sun, and Li Hsu
Towards automated animal density estimation with acoustic spatial capture-recapture
Yuheng Wang, Juan Ye, Xiaohui Li, and David L. Borchers
Factor-augmented transformation models for interval-censored failure time data
Shuwei Li, Hongxi Li, Liuquan Sun, and Xinyuan Song
Nonparametric worst-case bounds for publication bias on the summary receiver operating characteristic curve
Yi Zhou, Ao Huang, and Satoshi Hattori
Summary statistics knockoffs inference with family-wise error rate control
Catherine Xinrui Yu, Jiaqi Gu, Zhaomeng Chen, and Zihuai He
Integrating external summary information in the presence of prior probability shift: An application to assessing essential hypertension
Chixiang Chen, Peisong Han, Shuo Chen,Michelle Shardell, and Jing Qin
Heterogeneous latent transfer learning in Gaussian graphical models
Qiong Wu, Chi Wang, and Yong Chen
High-dimensional multivariate analysis of variance via geometric median and bootstrapping
Guanghui Cheng, Ruitao Lin, and Liuhua Peng
A causal inference framework for leveraging external controls in hybrid trials
Michael Valancius, Herbert Pang, Jiawen Zhu, Steve R. Cole, Michele Jonsson Funk, and Michael R. Kosorok
Sensitivity analysis for publication bias in meta-analysis of sparse data based on exact likelihood
Taojun Hu, Yi Zhou, and Satoshi Hattori
Unit information Dirichlet process prior
Jiaqi Gu and Guosheng Yin
Leveraging independence in high-dimensional mixed linear regression
Kai Deng, Ning Wang, Qing Mai, and Xin Zhang
Designing cancer screening trials for reduction in late-stage cancer incidence
Kehao Zhu, Ying-Qi Zhao, and Yingye Zheng
Adjusting for incomplete baseline covariates in randomized controlled trials: A cross-world imputation framework
Yilin Song, James P. Hughes, and Ting Ye
A Bayesian latent-subgroup platform design for dose optimization
Rongji Mu, Xiaojiang Zhan, Rui (Sammi) Tang, and Ying Yuan
Semi-parametric benchmark dose analysis with monotone additive models
Alex Stringer, Tugba AkkayaHocagil, Richard Cook, Louise Ryan, Sandra W. Jacobson, and Joseph L. Jacobson
Semiparametric sensitivity analysis: unmeasured confounding In observational studies
Razieh Nabi, Matteo Bonvini, Edward H. Kennedy, Ming-Yueh Huang, Marcela Smid, and Daniel O. Scharfstein
A Bayesian nonparametric approach for causal mediation with a post-treatment confounder
Woojung Bae, Michael J. Daniels, and Michael G. Perri
Post-selection inference in regression models for group testing data
Qinyan Shen, Karl Gregory, and Xianzheng Huang
Planning cost-effective operational forest inventories
Santeri Karppinen, Liviu Ene, Lovisa EngbergSundstrom, and Juha Karvanen
Causal inference using multivariate generalized linear mixed-effects models
Yizhen Xu, Jisoo Kim, Laura K. Hummers, Ami A. Shah, and Scott Zeger
Causal effect estimation in survival analysis with high dimensional confounders
Fei Jiang, Ge Zhao, Rosa Rodriguez-Monguio, and Yanyuan Ma
Composite dyadic models for spatio-temporal data
Michael R. Schwob, Mevin B. Hooten, and Vagheesh Narasimhan
ROMI: A randomized two-stage basket trial design to optimize doses for multiple indications
Shuqi Wang, Peter F. Thall, Kentaro Takeda, and Ying Yuan
Leveraging information from secondary endpoints to enhance dynamic borrowing across subpopulations
Jack M. Wolf, David M. Vock, Xianghua Luo, Dorothy K. Hatsukami, F. Joseph McClernon, and Joseph S. Koopmeiners
Case-crossover designs and overdispersion with application to air pollution epidemiology
Samuel Perreault, Gracia Y. Dong, Alex Stringer, Hwashin Shin, and Patrick Brown
Modeling longitudinal skewed functional data
Mohammad S. Alam and Ana-Maria Staicu
Changepoint detection on daily home activity pattern: a sliced Poisson process method
Israel Martínez Hernández and Rebecca Killick
Temporal generative models for learning heterogeneous group dynamics of ecological momentary data
Soohyun Kim, Young-geun Kim, and Yuanjia Wang
A formal goodness-of-fit test for spatial binary Markov random field models
Eva Biswas, Andee Kaplan, Mark S. Kaiser, and Daniel J. Nordman
Group sequential testing of a treatment effect using a surrogate marker
Layla Parast and Jay Bartroff
On network deconvolution for undirected graphs
Zhaotong Lin, Isaac Pan, and Wei Pan
Functional generalized canonical correlation analysis for studying multiple longitudinal variables
Lucas Sort, Laurent Le Brusquet, and Arthur Tenehaus
Bayesian inference for group-level cortical surface image-on-scalar-regression with Gaussian process priors
Andrew S. Whiteman, Timothy D. Johnson, and Jian Kang
Bayesian network-guided sparse regression with flexible varying effects
Yangfan Ren, Christine B. Peterson, and Marina Vannucci
Likelihood adaptively incorporated external aggregate information with uncertainty for survival data
Ziqi Chen, Yu Shen, Jing Qin, and Jing Ning
Derivation of outcome-dependent dietary patterns for low-income women obtained from survey data using a Supervised Weighted Overfitted Latent Class Analysis
Stephanie M. Wu, Matthew R. Williams, Terrance D. Savitsky, and Briana J.K. Stephenson
Clustering computer mouse tracking data with informed hierarchical shrinkage partition priors
Ziyi Song, Weining Shen, Marina Vannucci, Alexandria Baldizon, Paul M. Cinciripini, Francesco Versace, and Michele Guindani
How to achieve model-robust inference in stepped wedge trials with model-based methods?
Bingkai Wang, Xueqi Wang, and Li Fan
A new robust approach for the polytomous logistic regression model based on Renyi’s pseudodistances
Elena Castilla
Sensitivity analysis for studies transporting prediction models
Jon A. Steingrimsson, Sarah E. Robertson, Sarah Voter, and Issa J. Dahabreh
Joint mirror procedure: Controlling false discovery rate for identifying simultaneous signals
Linsui Deng, Kejun He, and Xianyang Zhang
Dynamic factor analysis with dependent Gaussian processes for high-dimensional gene expression trajectories
Jiachen Cai, Robert J. B. Goudie, Colin Starr, and Brian D. M. Tom
Robust model averaging approach by Mallows-type criterion
Miaomiao Wang, Kang You, Lixing Zhu, and Guohua Zou
Wasserstein regression with empirical measures and density estimation for sparse data
Yidong Zhou and Hans-Georg Müller
An exploratory penalized regression to identify combined effects of temporal variables - Application to agri-environmental issues
Bénedicte Fontez, Patrice Loisel, Thierry Simonneau, and Nadine Hilgert
Estimating marginal treatment effect in cluster randomized trials with multi-level missing outcomes
Chia-Rui Chang and Rui Wang
A hierarchical random effects state-space model for modeling brain activities from electroencephalogram data
Xingche Guo, Bin Yang, Ji Meng Loh, Qinxia Wang, and Yuanjia Wang
A multivariate Polya tree model for meta-analysis with event time distributions
Giovanni Poli, Elena Fountzilas, Apostolia-Maria Tsimberidou, and Peter Müller