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