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