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