Papers to Appear
Biometric Methodology
Structured feature ranking for genomic marker identification accommodating multiple types of networks
Yeheng Ge, Tao Li, Xingdong Feng, Mengyun Wu, and Hailong Liu
Spatially adaptive variable screening in presurgical fMRI data analysis
Yifei Hu and X. Jessie Jeng
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
Time-dependent prognostic accuracy measures for recurrent event data
R. Dey, D. E. Schaubel, J. A. Hanley, and P. Saha-Chaudhuri
Debiased high-dimensional regression calibration for errors-in-variables log-contrast models
Huali Zhao and Tianying Wang
Adaptive randomization methods for sequential multiple assignment randomized trials (SMARTs) via Thompson sampling
Peter Norwood, Marie Davidian, and Eric Laber
Graphical model inference with external network data
Jack Jewson, Li Li, Laura Battaglia, Stephen Hansen, David Rossell, and Piotr Zwiernik
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
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
Joint mirror procedure: Controlling false discovery rate for identifying simultaneous signals
Linsui Deng, Kejun He, and Xianyang Zhang
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
Estimation of a genetic Gaussian network using GWAS summary data
Yihe Yang, Noah Lorincz-Comi, and Xiaofeng Zhu
A generalized logrank-type test for comparison of treatment regimes in sequential multiple assignment randomized trials
Anastasios A. Tsiatis and Marie Davidian
A multivariate Polya tree model for meta-analysis with event time distributions
Giovanni Poli, Elena Fountzilas, Apostolia-Maria Tsimberidou, and Peter Müller
Large-scale survival analysis with a cure fraction
Bo Han, Xiaoguang Wang, and Liuquan Sun
Sensitivity analysis for studies transporting prediction models
Jon A. Steingrimsson, Sarah E. Robertson, Sarah Voter, and Issa J. Dahabreh
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
Bayesian pathway analysis over brain network mediators for survival data
Xinyuan Tian, Fan Li, Li Shen, Denise Esserman, and Yize Zhao
Robust model averaging approach by Mallows-type criterion
Miaomiao Wang, Kang You, Lixing Zhu, and Guohua Zou
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
Wasserstein regression with empirical measures and density estimation for sparse data
Yidong Zhou and Hans-Georg Müller
How to achieve model-robust inference in stepped wedge trials with model-based methods?
Bingkai Wang, Xueqi Wang, and Li Fan
Modeling longitudinal skewed functional data
Mohammad S. Alam and Ana-Maria Staicu
Likelihood adaptively incorporated external aggregate information with uncertainty for survival data
Ziqi Chen, Yu Shen, Jing Qin, and Jing Ning
A new robust approach for the polytomous logistic regression model based on Renyi’s pseudodistances
Elena Castilla
Bayesian inference for group-level cortical surface image-on-scalar-regression with Gaussian process priors
Andrew S. Whiteman, Timothy D. Johnson, and Jian Kang
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
A formal goodness-of-fit test for spatial binary Markov random field models
Eva Biswas, Andee Kaplan, Mark S. Kaiser, and Daniel J. Nordman
Functional generalized canonical correlation analysis for studying multiple longitudinal variables
Lucas Sort, Laurent Le Brusquet, and Arthur Tenehaus
Heterogeneity-aware integrative regression for ancestry-specific association studies
Aaron J. Molstad, Yanwei Cai, Alexander P. Reiner, Charles Kooperberg, Wei Sun, and Li Hsu
Causal effect estimation in survival analysis with high dimensional confounders
Fei Jiang, Ge Zhao, Rosa Rodriguez-Monguio, and Yanyuan Ma
Semiparametric sensitivity analysis: unmeasured confounding In observational studies
Razieh Nabi, Matteo Bonvini, Edward H. Kennedy, Ming-Yueh Huang, Marcela Smid, and Daniel O. Scharfstein
Bayesian network-guided sparse regression with flexible varying effects
Yangfan Ren, Christine B. Peterson, and Marina Vannucci
Group sequential testing of a treatment effect using a surrogate marker
Layla Parast and Jay Bartroff
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
Biometric Practice
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
A likelihood approach to incorporating self-report data in HIV recency classification
Wenlong Yang, Danping Liu, Le Bao, and Runze Li
Unlocking the power of multi-institutional data: integrating and harmonizing genomic data across institutions
Yuan Chen, Ronglai Shen, Xiwen Feng, and Katherine Panageas
Estimating marginal treatment effect in cluster randomized trials with multi-level missing outcomes
Chia-Rui Chang and Rui Wang
A Bayesian framework for causal analysis of recurrent events with timing misalignment
Arman Oganisian, Anthony Girard, Jon A. Steingrimsson, and Patience Moyo
Optimal adaptive SMART designs with binary outcomes
Rik Ghosh, Bibhas Chakraborty, Inbal Nahum-Shani, Megan E. Patrick, and Palash Ghosh
Cumulative link mixed-effects models in the service of remote sensing crop progress monitoring
Ioannis Oikonomidis and Samis Trevezas
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
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
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
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
Case-crossover designs and overdispersion with application to air pollution epidemiology
Samuel Perreault, Gracia Y. Dong, Alex Stringer, Hwashin Shin, and Patrick Brown
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
On network deconvolution for undirected graphs
Zhaotong Lin, Isaac Pan, and Wei Pan
Book Reviews
Fundamentals of probability, fifth edition by Saeed Ghahramani, Chapman and Hall/CRC, 2024, ISBN: 9781032366081, https://www.routledge.com/Fundamentals-of-probability/Ghahramani/p/book/9781032366081
Andrew J. Spieker
Principles of psychological assessment, with applied examples in R. by Isaac T. Petersen, Chapman and Hall/CRC, 2024, ISBN: 9781032413068 https://www.routledge.com/Principles-of-psychological-assessment-with-applied-examples-in-R/Petersen/p/book/9781032413068
Levent Dumenci
Papers to appear in future issues of Biometrics
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
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
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
Data integration methods for micro-randomized trials
E. Huch, I. Nahum–Shani, L. Potter, C. Lam, D. W. Wetter, and W. Dempsey
Feature screening for metric space-valued responses based on Fr´echet regression with its applications
Bing Tian, Jian Kang, and Wei Zhong
Pseudo-observations for bivariate survival data
Yael Travis-Lumer, Micha Mandel, and Rebecca A. Betensky
A regularized Bayesian Dirichlet-multinomial regression model for integrating single-cell-level omics and patient-level clinical study data
Yanghong Guo, Lei Yu, Lei Guo, Lin Xu, and Qiwei Li
Combining experimental and observational data through a power likelihood
Xi Lin, Jens Magelund Tarp, and Robin J. Evans
A semicompeting risks model with an application to UK biobank data to identify risk factors for diabetes onset and progression
Md Tuhin Sheikh and Hongyu Zhao
Composite likelihood inference for space-time point processes
Abdollah Jalilian, Francisco Cuevas-Pacheco, Ganggang Xu, and Rasmus Waagepetersen
The subtype-free average causal effect for heterogeneous disease etiology
A. Sasson, M. Wang, S. Ogino, and D. Nevo
Combining covariate adjustment with group sequential, information adaptive designs to improve randomized trial efficiency
Kelly Van Lancker, Josh Betz, and Michael Rosenblum
Positive-definite regularized estimation for high dimensional covariance on scalar regression
Jie He, Yumou Qiu, and Xiao-Hua Zhou
Instrumental variable estimation of complier casual treatment effects with interval-censored competing risks data
Yichen Lou, Yuqing Ma, Jianguo Sun, Peijie Wang, and Zhisheng Ye
A general, flexible and harmonious framework to construct interpretable functions in regression analysis
Tianyu Zhan and Jian Kang
A simple and powerful method for large-scale composite null hypothesis testing with applications in mediation analysis
Yaowu Liu
Multiply robust difference-in-differences estimation of causal effect curves for continuous exposures
Gary Hettinger, Youjin Lee, and Nandita Mitra
Potential outcome simulation for efficient head-to-head comparison of adaptive dose-finding designs
Michael Sweeting, Daniel Slade, Dan Jackson, and Kristian Brock
Statistical inference on change points in generalized semiparametric segmented models
Guangyu Yang, Baqun Zhang, and Min Zhang
Individualized multi-treatment response curves estimation using RBF-net with shared neurons
Peter Chang and Arkaprava Roy
Sparse Bernoulli mixture modeling with negative-unlabeled data: An approach to identify and characterize long COVID
Tingyi Cao, Harrison T. Reeder, and Andrea S. Foulkes
Jointly modeling means and variances for nonlinear mixed effects models with measurement errors and outliers
Qian Ye, Lang Wu, and Viviane D. Lima
Bayesian scalar-on-network regression with applications to brain functional connectivity
Xiaomeng Ju, Hyung G. Park, and Thaddeus Tarpey
Power-enhanced two-sample mean tests for high-dimensional microbiome compositional data
Lingzhou Xue, Danning Li, Haoyi Yang, and Xiufan Yu
Robust and efficient semi-supervised learning for Ising model
Daiqing Wu and Molei Liu
Evaluating the effects of high-throughput structural neuroimaging predictors on whole-brain functional connectome outcomes via network-based matrix-on-vector regression
Tong Lu, Yuan Zhang, Vince Lyzinski, Chuan Bi, Peter Kochunov, Elliot Hong, and Shuo Chen
A model-free framework for evaluating the reliability of a new device with multiple imperfect reference standards
Ying Cui, Qi Yu, Amita Manatunga, and Jeong Hoon Jang
Bayesian nonparametric trees for principal causal effects
Chanmin Kim and Corwin Zigler
A mixed-effects Bayesian regression model for multivariate group testing data
Christopher S. McMahan, Chase N. Joyner, Joshua M. Tebbs and Christopher R. Bilder
Optimal treatment regime estimation in practice: challenges and choices in a randomized clinical trial for depression
Florian Stijven, Trung Dung Tran, Ellen Driessen, Ariel Alonso Abad, Geert Molenberghs, Geert Verbeke, and Iven Van Mechelen