Papers to Appear
Biometric Methodology Discussion Paper
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
Darren Scott and Alex Lewin
Discussion
Shannon D. Thomas and Alexander M. Kaizer
Discussion
Harlan Campbell and Paul Gustafson
Rejoinder
Ethan M. Alt, Xiuya Chang, Xun Jiang, Qing Liu, May Mo, Hong Amy Xia, and Joseph G. Ibrahim
Biometric Methodology
Causal inference using multivariate generalized linear mixed-effects models
Yizhen Xu, Jisoo Kim, Laura K. Hummers, Ami A. Shah, and Scott Zeger
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
Heterogeneous latent transfer learning in Gaussian graphical models
Qiong Wu, Chi Wang, and Yong Chen
Post-selection inference in regression models for group testing data
Qinyan Shen, Karl Gregory, and Xianzheng Huang
Semi-parametric benchmark dose analysis with monotone additive models
Alex Stringer, Tugba AkkayaHocagil, Richard Cook, Louise Ryan, Sandra W. Jacobson, and Joseph L. Jacobson
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
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
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
Visibility graph-based covariance functions for scalable spatial analysis in non-convex partially Euclidean domains
Brian Gilbert and Abhirup Datta
High-dimensional multivariate analysis of variance via geometric median and bootstrapping
Guanghui Cheng, Ruitao Lin, and Liuhua Peng
Summary statistics knockoffs inference with family-wise error rate control
Catherine Xinrui Yu, Jiaqi Gu, Zhaomeng Chen, and Zihuai He
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
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
Reduced-rank clustered coefficient regression for addressing multicollinearity in heterogeneous coefficient estimation
Yan Zhong, Kejun He, and Gefei Li
The multivariate Bernoulli detector: Change point estimation in discrete survival analysis
Willem van den Boom, Maria De Iorio, Fang Qian, and Alessandra Guglielmi
Semiparametric inference of effective reproduction number dynamics from wastewater pathogen surveillance data
Isaac H. Goldstein, Daniel M. Parker, Sunny Jiang, and Volodymyr M. Minin
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
Nonparametric second-order estimation for spatiotemporal point patterns
Decai Liang, Jialing Liu, Ye Shen, and Yongtao Guan
Causal meta-analysis by integrating multiple observational studies with multivariate outcomes
Subharup Guha and Yi Li
Joint structure learning and causal effect estimation for categorical graphical models
Federico Castelletti, Guido Consonni, and Marco L. Della Vedova
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
Controlling false discovery rate for mediator selection in high-dimensional data
Ran Dai, Ruiyang Li, Seonjoo Lee, and Ying Liu
A Gaussian-process approximation to a spatial SIR process using moment closures and emulators
Parker Trostle, Joseph Guinness, and Brian J. Reich
Multiply robust estimation of marginal structural models in observational studies subject to covariate-driven observations
Janie Coulombe and Shu Yang
PathGPS: Discover shared genetic architecture using GWAS summary data
Zijun Gao, Trevor Hastie, and Qingyuan Zhao
Nonparametric receiver operating characteristic curve analysis with an imperfect gold standard
Jiarui Sun, Chao Tang, Wuxiang Xie, and Xiao-Hua Zhou
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
Bayesian inference for multivariate probit model with latent envelope
Kwangmin Lee and Yeonhee Park
Biometric Practice
Planning cost-effective operational forest inventories
Santeri Karppinen, Liviu Ene, Lovisa EngbergSundstrom, and Juha Karvanen
A Bayesian nonparametric approach for causal mediation with a post-treatment confounder
Woojung Bae, Michael J. Daniels, and Michael G. Perri
Nonparametric worst-case bounds for publication bias on the summary receiver operating characteristic curve
Yi Zhou, Ao Huang, and Satoshi Hattori
A generalized outcome-adaptive sequential multiple assignment randomized trial design
Xue Yang, Yu Cheng, Peter F. Thall, and Abdus S. Wahed
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
Optimal refinement of strata to balance covariates
Katherine Brumberg, Dylan S. Small, and Paul R. Rosenbaum
Book Review
Handbook of matching and weighting adjustments for causal inference by José R. Zubizarreta, Elizabeth A. Stuart, Dylan S. Small, and Paul R. Rosenbaum, Chapman and Hall/CRC, 2023, ISBN: 9781003102670, https://www.routledge.com/Handbook-of-matching-and-weighting-adjustments-for-causal-inference/Zubizarreta-Stuart-Small-Rosenbaum/p/book/9781003102670
Youjin Lee
Papers to appear in future issues of Biometrics
Heterogeneity-aware integrative regression for ancestry-specific association studies
Aaron J. Molstad, Yanwei Cai, Alexander P. Reiner, Charles Kooperberg, Wei Sun, and Li Hsu
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
Semiparametric sensitivity analysis: unmeasured confounding In observational studies
Razieh Nabi, Matteo Bonvini, Edward H. Kennedy, Ming-Yueh Huang, Marcela Smid, and Daniel O. Scharfstein
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
Bayesian pathway analysis over brain network mediators for survival data
Xinyuan Tian, Fan Li, Li Shen, Denise Esserman, and Yize Zhao
Cumulative link mixed-effects models in the service of remote sensing crop progress monitoring
Ioannis Oikonomidis and Samis Trevezas
Optimal adaptive SMART designs with binary outcomes
Rik Ghosh, Bibhas Chakraborty, Inbal Nahum-Shani, Megan E. Patrick, and Palash Ghosh
Large-scale survival analysis with a cure fraction
Bo Han, Xiaoguang Wang, and Liuquan Sun
A generalized logrank-type test for comparison of treatment regimes in sequential multiple assignment randomized trials
Anastasios A. Tsiatis and Marie Davidian
Unlocking the power of multi-institutional data: integrating and harmonizing genomic data across institutions
Yuan Chen, Ronglai Shen, Xiwen Feng, and Katherine Panageas
Robust and flexible learning of a high-dimensional classification rule using auxiliary outcomes
Muxuan Liang, Jaeyoung Park, Qing Lu, and Xiang Zhong
A Bayesian joint model for mediation analysis with matrix-valued mediators
Zijin Liu, Zhihui (Amy) Liu, Ali Hosni, John Kim, Bei Jiang, and Olli Saarela
A likelihood approach to incorporating self-report data in HIV recency classification
Wenlong Yang, Danping Liu, Le Bao, and Runze Li
An adaptive enrichment design using Bayesian model averaging for selection and threshold-identification of predictive variables
Lara Maleyeff, Shirin Golchi, Erica E.M. Moodie, and Marie Hudson
A Bayesian framework for causal analysis of recurrent events with timing misalignment
Arman Oganisian, Anthony Girard, Jon A. Steingrimsson, and Patience Moyo
Estimation of a genetic Gaussian network using GWAS summary data
Yihe Yang, Noah Lorincz-Comi, and Xiaofeng Zhu
Graphical model inference with external network data
Jack Jewson, Li Li, Laura Battaglia, Stephen Hansen, David Rossell, and Piotr Zwiernik
Debiased high-dimensional regression calibration for errors-in-variables log-contrast models
Huali Zhao and Tianying Wang
An efficient joint model for high dimensional longitudinal and survival data via generic association features
Van Tuan Nguyen, Adeline Fermanian, Antoine Barbieri, Sarah Zohar, Anne-Sophie Jannot, Simon Bussy, and Agathe Guilloux
Semi-parametric sensitivity analysis for trials with irregular and informative assessment times
Bonnie Smith, Yujing Gao, Shu Yang, Ravi Varadhan, Andrea J. Apter, and Daniel O. Scharfstein
Time-dependent prognostic accuracy measures for recurrent event data
R. Dey, D. E. Schaubel, J. A. Hanley, and P. Saha-Chaudhuri
Gaussian processes for time series with lead-lag effects with applications to biology data
Wancen Mu, Jiawen Chen, Eric S. Davis, Kathleen Reed, Douglas Phanstiel, Michael I. Love, and Didong Li
Adaptive randomization methods for sequential multiple assignment randomized trials (SMARTs) via Thompson sampling
Peter Norwood, Marie Davidian, and Eric Laber
De-biasing the bias: Methods for improving disparity assessments with noisy group measurements
Solvejg Wastvedt, Joshua Snoke, Denis Agniel, Julie Lai, Marc N. Elliott, and Steven C. Martino
Spatially adaptive variable screening in presurgical fMRI data analysis
Yifei Hu and X. Jessie Jeng
A unified combination framework for dependent tests with applications to microbiome association studies
Xiufan Yu, Linjun Zhang, Arun Srinivasan, Min-ge Xie, and Lingzhou Xue
Addressing selection bias in cluster randomized experiments via weighting
Georgia Papadogeorgou, Bo Liu, Li Fan, and Li Fan
Robust Bayesian graphical regression models for assessing tumor heterogeneity in proteomic networks
Tsung-Hung Yao, Yang Ni, Anindya Bhadra, Jian Kang, and Veerabhadran Baladandayuthapani
Distributed model building and recursive integration for big spatial data modeling
Emily C. Hector, Brian J. Reich, and Ani Eloyan
Continuous-space occupancy models
Wilson J. Wright and Mevin B. Hooten
Causal inference with cross-temporal design
Yi Cao, Pedro L. Gozalo, and Roee Gutman
Structured feature ranking for genomic marker identification accommodating multiple types of networks
Yeheng Ge, Tao Li, Xingdong Feng, Mengyun Wu, and Hailong Liu
Weighted Q-learning for optimal dynamic treatment regimes with nonignorable missing covariates
Jian Sun, Li Su, and Bo Fu
High-dimensional partially linear functional Cox models
Xin Chen, Hua Liu, Jiaqi Men, and Jinhong You
Penalized G-estimation for effect modifier selection in a structural nested mean model for repeated outcomes
Ajmery Jaman, Guanbo Wang, Ashkan Ertefaile, Michele Bally, Renee Levesque, Robert W. Platt, and Mireille E. Schnitzer
Change surface regression for nonlinear subgroup identification with application to warfarin pharmacogenomics data
Pan Liu, Yaguang Li, and Jialiang Li
Distributed lag models for retrospective cohort data with application to a study of built environment and body weight
Jennifer F. Bobb, Stephen J. Mooney, Maricela Cruz, Anne Vernez Moudon, Adam Drewnowski, David Arterburn, and Andrea J. Cook
Improving estimation efficiency for survival data analysis by integrating a coarsened time-to-event outcome from an external study
Daxuan Deng, Lijun Zhang, Hao Feng, Vernon M. Chinchilli, Chixiang Chen, and Ming Wang
Estimating hypothetical estimands with causal inference and missing data estimators in a diabetes trial case study
Camila Olarte Parra, Rhian M. Daniel, David Wright, and Jonathan W. Bartlett